warehouse management system essay

What is Warehouse Management? Benefits, Processes, & Strategies

Any business that stores items in a warehouse knows that effective management is the difference between fulfilling customer orders quickly and accurately while keeping costs down versus hearing complaints about delayed or inaccurate shipments and higher operating costs.

Video: What Is a Warehouse Management System?

What is warehouse management.

Warehouse management encompasses the principles and processes involved in running the day-to-day operations of a warehouse. At a high level, this includes receiving and organizing warehouse space, scheduling labor, managing inventory and fulfilling orders. Zoom in closer and you’ll see that effective warehouse management involves optimizing and integrating each of those processes to ensure all aspects of a warehouse operation work together to increase productivity and keep costs low.

Benefits of Warehouse Management

Warehouse operations are generally invisible to customers, but they play a vital behind-the-scenes role in ensuring on-time delivery. To achieve this goal, good warehouse management ensures all warehouse processes run as efficiently and accurately as possible. For example, warehouse management involves optimizing the use of warehouse space to maximize inventory storage; making inventory easy for staff to find; ensuring adequate staffing; efficiently fulfilling orders; and coordinating communication with suppliers and transportation companies so materials arrive and orders ship on time.

The benefits of good warehouse management—namely fast, high-quality service at low cost—can ripple out to the entire supply chain, strengthening relationships with suppliers as well as customers.

But given the many elements involved, optimizing warehouse management can be a complex task. That’s why many organizations are turning to warehouse management systems for help.

What Is a Warehouse Management System?

A warehouse management system (WMS) is a software solution that aims to simplify the complexity of managing a warehouse. Often provided as part of an integrated enterprise resource planning (ERP) suite of business applications, a WMS can support and help to optimize every aspect of warehouse management. For example, a WMS can:

Leverage data and automation to conduct demand analyses, forecast sales and create efficient daily operating plans.
Provide real-time insight into inventory location and quantity.
Share data with other ERP modules or standalone software products, such as accounting software and transportation management solutions, to increase the efficiency of business operations.
Monitor and report productivity to offer a deeper understanding of how efficiently your warehouse is operating and where you can make improvements to warehouse geography and optimize space.
Create step by step directions to guide users through daily processes—such as receiving, picking and packing orders—using predefined rules.

Inventory Management vs Warehouse Management

Before getting into the details of warehouse management, it may help to understand a few common terms. For example, the terms inventory management and warehouse management are often used interchangeably, but there are key differences:

Inventory management

Inventory Management is centered on efficiently and effectively ordering, storing, moving, and picking the materials needed to make products or fulfill orders.

Warehouse management

Warehouse Management is a broader term that includes other aspects of warehouse operations, such as warehouse organization and design, labor, order fulfillment, warehouse monitoring and reporting.

Stock Management

Stock management is often used as another term for inventory management, but it’s important to recognize the difference between “stock” and “inventory,” particularly for companies involved in manufacturing products. Stock generally refers to finished product ready for sale or distribution. Inventory, however, includes everything in the warehouse: raw materials, materials that are in the process of being built into products and finished products (stock).

Stock management is therefore a subset of inventory management that focuses specifically on holding as little stock as possible—to save space and costs—while still being able to meet customer demand.

Principles of Warehouse Management

Understanding the general principles of warehouse management can help you focus your efforts to optimize the way your warehouse operates. These principles include:

Know your purpose . A warehouse operation must first and foremost know its objectives. For example, do your customers have specific delivery requirements? Does your inventory need specialized storage? Additionally, all warehouse operations aim to use warehouse space, labor and equipment as efficiently as possible.

Comprehensive control. Warehouse management involves coordinating complex processes involving many moving parts: people, equipment, orders and inventory. Warehouse managers need to be able to track each process in order to ensure it’s running smoothly and solve the problems that inevitably occur. Quality control is critical to ensure orders are fulfilled accurately.

Flexibility and resilience. Warehouse managers have to be able to change plans on the fly, whether it’s because materials have arrived damaged or because inclement weather is delaying shipments. It’s also important to be able to adjust workflows to maximize efficiency, whether that involves rearranging warehouse space or reimagining picking processes.

Customer focus. On-time delivery, with the correct product, is one of the most important metrics when it comes to customer service and satisfaction. To deliver on time, you need to be able to fulfill orders quickly and accurately.

Data-driven decision making . Even if every warehouse process appears to be running without a hitch, it doesn’t mean processes are operating as efficiently as possible. A WMS can help you pinpoint and analyze areas that need improvement.

Warehouse Management Processes

Warehouse management includes six core processes. Each process influences the efficiency of the next, so every step must be optimized for the warehouse operation to run like a well-oiled machine:

Receiving. Check in and log incoming items. Verify that you’re receiving the right quantity, in the right condition, at the right time.
Put-away. Move items from the receiving dock to their correct storage locations.
Storage. Safely store and logically arrange inventory to enable fast and accurate picking.
Picking. Collect the items needed to fulfill sales orders.
Packing. Prepare the picked items for shipment. They must be safely packed into the correct packaging with an accurate packing slip.
Shipping. Send out the finalized sales orders, ensuring that they are on the right vehicle, at the right time, with the correct documentation, so customers receive their orders on time.

Warehouse Optimization

Optimizing your warehouse operation involves fine-tuning each of these warehouse management processes. For example, when receiving goods, an organization can label items with mobile barcodes or attach RFID tags to make them easier to find when picking. During put-away, a well-managed warehouse operation stores items in the minimum amount of space to maximize the capacity of the warehouse. Other best practices for warehouse optimization include storing popular items in easily accessible areas and separating items that can easily be mistaken for one another.

Warehouse Management Fulfillment Strategies

Selecting fulfillment strategies that match the business’s size and the volume and type of orders it receives can help the organization ship products faster, minimize waste and improve customer satisfaction. Applying picking strategies that match the type of orders that you receive can help maintain the most effective workflow. For example:

Batch picking is a technique that can help you quickly fulfill multiple orders for the same product without wasting time by continually revisiting the same inventory location.
Zone picking assigns pickers to different zones of SKUs. For each order, pickers are resonpsible for picking all SKUs from their designated zone.
First expired, first out (FEFO) picking ensures perishable products and items make it to customers before specified expiration or sell-by dates. With FEFO, the products set to expire first are shipped first.
First in, first out (FIFO) picking ensures the first products to come into the warehouse are the first to be distributed, which can help make sure older items are shipped before they can become obsolete.

Technology is also an important part of any warehouse management fulfillment strategy. Handheld mobile devices that display packing lists with item locations, serial numbers and lot numbers can help increase picking speed and accuracy. Software can recommend safe and cost-effective packing based on product dimensions to ensure each item gets shipped securely, with as little waste—and wasted space—as possible.

Warehouse Monitoring & Reporting

Measuring and tracking key performance indicators (KPIs)—operational statistics that indicate how well the warehouse is operating—can help pinpoint problems and highlight opportunities to improve efficiency and fulfill customer orders more quickly and accurately. For example, you can set a target for improved picking and packing accuracy, then make changes to your picking processes and measure whether those changes are effective in helping you achieve your goal.

Warehouse KPIs

Warehouse managers often track the following KPIs, among others:

Receiving efficiency or productivity : The volume of goods received per warehouse operator, per hour. Higher scores indicate greater receiving efficiency, while lower scores indicate that there may be problems that should be investigated.
Picking accuracy : The number of orders accurately picked divided by the total number of orders picked (including incorrect or short orders). The closer to 100% accuracy, the better.
Order lead time : The average time it takes for an order to reach a customer once the order has been placed. For the highest customer satisfaction, the shorter the lead time, the better.
Rate of product return : The rate at which sold goods are returned by customers, calculated by dividing the number of items returned by the number of items sold. To get a full picture of this KPI, it’s important to consider why products are being returned—a customer accidentally ordering the wrong product might not signify warehouse operation issues, but there is room for improvement if customers often receive incorrect products or damaged goods.
Inventory turnover : How much inventory is sold and replaced in a given period of time. It’s calculated by dividing the total cost of goods sold during the period by the average cost of inventory during that period. This KPI reflects how efficiently a warehouse manages inventory to meet demand. In general, higher inventory turnover is better. If a warehouse overestimates demand, inventory turnover may be low. Too much slow-selling inventory can be costly—especially for businesses dealing with goods that have a predetermined shelf life.

Award Winning Warehouse Management Software

Warehouse Management Statistics

Global ecommerce has grown rapidly in recent years, and is expected to top $29 trillion by 2023 —accelerating a need for more warehouse space to match growing consumer demands. Ecommerce growth is expected to increase demands for U.S. warehouse space by 1 billion square feet by 2025. It’s not surprising that one survey, by trade publication Logistics Management , found 79% of warehouse operations were planning some type of expansion plan.

Given this growth, a top challenge faced by warehouse operations is the inability to attract and retain a qualified hourly workforce. To improve productivity, reduce operating costs and keep up with customer demand—all while combatting tight space and a tight labor market—warehouse operations are increasingly using technology to automate processes, with 85% using WMS according to the Logistics Management survey.

Choosing a Warehouse Management System (WMS)

Choosing the right WMS will depend on the specifics of your warehousing operation and what you want to achieve. Above all, the right WMS should help your organization achieve greater efficiency and fulfill orders more accurately so you can do more at a lower cost. Since a primary goal is to save money, ROI is key.

Additionally, a WMS should act as a guide to help all warehouse staff become more efficient in the workplace. To do so, the right WMS will provide real-time actionable insights into each aspect of your warehousing operation to help staff be more efficient and programmatic, including receiving, shipping, inventory, order fulfillment, and labor—while providing easy-to-understand statistics and reports that managers and workers can easily understand and then use to improve daily and long-term processes. A WMS should also be scalable so it can help your business grow and adapt to changing market conditions.

The right WMS can take your warehouse operations to a higher level of efficiency, speed and order accuracy, helping to improve your company’s competitiveness and increase customer satisfaction while keeping operating costs down.

What Is a Warehouse Management System (WMS)?

In an era of booming global digital commerce, the limits of traditional warehouse management processes are constantly tested. To keep up with customer expectations for fast, accurate, on-time shipping—without…

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Impact of Warehouse Management System in a Supply Chain

In a supply chain, warehousing function is very critical as it acts as a node in linking the material flows between the supplier and customer. In today's competitive market environment companies are continuously forced to improve their warehousing operations. Many companies have also customized their value proposition to increase their customer service levels, which has led to changes in the role of warehouses. This paper highlights the findings of the study carried out to evaluate performance levels and enhance productivity of the manual warehouses by developing a WMS framework and cost benefit analysis.

Related Papers

Pal Pandian

Lauren Castro

In this paper we approach a typical warehouse problem that is common to most industrial businesses, were efficiency is given by the best arrangement of items in the warehouse (slotting) and the best picking routes selected for each order (picking). Yet, when implementing picking and slotting optimization techniques, the information used is historical data that, in most cases, would fail to work given the many factors that affect daily warehousing operations. On the other hand, simulation models have been used to make virtual scenarios of a warehouse and can predict, with some accuracy, what would happen if a specific decision was made, but these models also fail to work, due to the fact that the data collected is not a reliable one. Given the complexity of most warehouses, we have designed a Warehouse Management System (WMS) that functions dynamically with real-time data, through the use of RFID technology and the integration of simulation and optimization models.

Bourlakis/Intelligent Agrifood Chains and Networks

V. Zeimpekis , Nikolaos Stragas

Trihan Syahril

XXIII Summer School “Francesco Turco” – Industrial Systems Engineering, Academic Discipline ING-IND/17

Anna Corinna Cagliano , Sabrina Grimaldi

Lean principles have been increasingly adopted in manufacturing over the last decades and they have just recently spread their applicability to supply chains. In such a context, lean warehousing plays a significant role in order to achieve lower costs of logistics operations and increase flexibility and efficiency in pull supply chains driven by customer demand. However, both academic and professional literature is still poor and lacks structured methodologies and case studies integrating different lean techniques to optimize warehouse processes. This paper proposes a novel lean warehousing framework combining three well-known lean tools and presents the first outcomes of its validation campaign. In particular, it discusses the framework application to a raw material and component warehouse of an international company in the automotive sector. Results show that time savings up to 36% might be achieved in receiving, put away, and picking operations, bringing significant economic benefits in terms of labour, service level, and warehouse space. This study provides researchers with new opportunities for fostering continuous improvement in warehouse operations, while practitioners might benefit from it as a basis for evaluating and re-engineering warehouse processes towards lean principles. Future research will further validate and progress the lean warehousing framework.

Dorian Mermoz

kotsilas dimitris

Designing and Deploying RFID Applications

Erdal Yılmaz

“Technology has made our lives more full, yet at the same time we’ve become uncomfortably “full”. (Maeda, 2006, p.I). After considering these words within marketing context we can see that each day we are dealing with an information flow. Although there is a lot of information about almost everything (sold products, barcodes, invoices, information from the supplier, prices, customer data, competitors etc.) today’s managers are more unsecure to take certain decisions. They also don’t have enough time to pay attention for these controllable or uncontrollable forces. During a business process the way from production to wholesalers and than to retailers is very complicated. After products finally meet the customers, feedbacks are coming back to the companies and the cycle begins from the start. This product and information flow makes business processes very complex because different people (engineers, sales staff, consumers, managers) interfere this cycle. In this study our aim is - based on the simplicity theory of John Maeda – with the help of RFID technology to create a simple process model for retailers. By using RFID tags in their warehouses and stores they might be able to serve better and more efficiently to their customers and have a better overview in a short period of time. The information supplied via RFID allows corporations to plan their internal processes more efficiently. We also would like to analyze the pitfalls of RFID with a case from Turkish retail industry especially for In-Store usage of RFID.

SSRN Electronic Journal

George Herman

Warehouse Management: Meaning, Advantages, And Systems

Warehouse management is essential for businesses, ensuring compliance, efficiency, and accurate inventory management . Its success requires industry knowledge and strategic resource management. Explore further for key insights into warehouse management.

What Is Warehouse Management?

In supply chain operations, warehouse management refers to the comprehensive process of supervising and controlling all aspects of a warehouse’s performance, from receiving and storing goods to their retrieval and shipping.

This predetermined system approach incorporates advanced warehouse management systems (WMS) to streamline inventory management, optimize storage space utilization, enhance order fulfillment accuracy, and improve the picking process, thereby elevating warehouse efficiency and inventory tracking.

Attributes Of Warehouse Management Systems (WMS)

Warehouse Management Systems (WMS) streamline operational processes by providing critical functionalities such as inventory tracking, order fulfillment, and real-time data analysis. These systems enhance inventory control through accurate data collection, leveraging barcode scanners and automated guided vehicles for efficient inventory tracking.

WMS ensures regulatory compliance, offering real-time visibility crucial for improving warehouse efficiency. Mastery of WMS attributes is pivotal for optimizing warehousing operations.

Advantages Of Warehouse Management

Warehouse management has several advantages, including accurate inventory control, lower overhead costs, and improved customer satisfaction. Utilizing warehouse management software helps maintain optimal inventory levels, aligns with online shopping trends, and enables timely delivery.

Warehouse Management Systems: Evolution Of Technology

The evolution of technology in warehouse management systems (WMS) has significantly enhanced the efficiency and accuracy of inventory handling and distribution processes.

Advanced WMS integrates with warehousing operations to streamline supply chain functionalities.

Automated conveyor belts and sophisticated warehouse equipment have revolutionized distribution center operations, improving productivity.

This technology evolution in key warehouse processes ensures compliance with regulatory standards and elevates trade efficacy.

Warehouse Management And Inventory Management

Warehouse management encompasses the administrative control of a logistics facility. This involves ensuring that inventory is received, stored, and dispatched in a manner that complies with industry standards and regulatory requirements.

Managing Inventory

Warehouse and inventory management systems are crucial for maintaining stock availability and maximizing space utilization. Adhering to regulations and optimizing the storage process, including the picking, packing, and shipping, is essential for efficient warehouse operations. Streamlining fulfillment processes within the supply chain can help maximize warehouse space.

Managing A Logistics Facility

Managing a logistics facility involves overseeing warehouse and store inventory management to track, store inventory, and retrieve items accurately. Regulatory compliance must be maintained through meticulous processes. Distribution centers require careful oversight to minimize labor costs and optimize efficiency. Coordinating warehouse staff is crucial for a streamlined operation.

Managing Stock

Effective stock management is crucial for efficient operations and maintaining optimal inventory levels. This includes warehouse and inventory management, including putaway and kitting processes. It involves accurately storing and distributing inventory while adhering to regulatory compliance. This ensures seamless operation of warehousing and inventory systems.

Receiving process operations involve accepting, inspecting, and storing incoming goods to ensure inventory accuracy and operational efficiency. The warehouse managers oversee the process, ensuring careful packaging material handling to enhance labor efficiency.

A systematic record is maintained for each item, allowing opportunities for process refinement in this crucial warehouse function.

Allocating Goods

Goods allocation in warehouses and inventory management is assigning storage locations for items. It optimizes space utilization and accessibility for picking and packing, ensuring compliance and streamlining operations.

Efficient allocation facilitates order fulfillment, returns handling, and management across multiple warehouses, including conveyor belt systems.

Slotting is a crucial inventory management strategy that involves organizing products in a warehouse for efficient flow and improved operational efficiency. This process ensures that power pallet trucks and workers can navigate accurately and adhere to quality standards and manufacturing codes.

It also streamlines sales order fulfillment and returns processes, making it a vital aspect of warehouse operations and regulatory compliance.

Inventory Storage

Inventory storage is key in warehouse management. It involves organizing and preserving goods systematically to maintain optimal inventory levels. Regulatory standards and trade knowledge guide this process, ensuring efficient handling and retrieval of inventory. This improves supply chain efficiency and enhances service excellence.

Picking is where items are carefully chosen from inventory to fulfill customer orders. It is important to master this operation to ensure order accuracy, customer satisfaction, and operational efficiency.

Adhering to regulations and paying close attention to detail is necessary to minimize the risk of errors and maintain a smooth flow from warehouse to customer.

Packing is a vital step between picking and shipment. It ensures items are securely prepared for delivery, following regulations and optimizing transport costs. It requires inventory control and exemplary logistical performance.

Shipping is the last step in warehouse management and involves coordinating resources to deliver goods on time. It requires compliance with trade regulations, accurate documentation, and advanced tracking systems.

This phase is crucial for customer satisfaction and reflects the effectiveness of earlier warehouse processes.

Reporting in warehouse management and inventory control is essential for providing stakeholders valuable data for decision-making and oversight. Accurate reports ensure compliance with industry standards for inventory levels, order accuracy, and resource utilization.

Proficiency in reporting tools is crucial for strategic planning, risk management, and operational excellence in logistics and supply chain optimization, giving a competitive advantage.

Maximizing Warehouse Logistics And Supply Chain Resiliency

Maximizing warehouse logistics and strengthening supply chain resilience are necessary for staying competitive in today’s dynamic market. Automation integration ensures consistency and efficiency, while rigorous inspections and protocols prioritize safety and regulatory compliance.

Utilizing an advanced Warehouse Control System (WCS) and collaborating with a trusted Third-Party Logistics provider (3PL) streamlines processes, cuts overhead costs, and enhances supply chain adaptability to unforeseen events.

Automation technologies improve warehouse management systems, boosting logistics efficiency and supply chain resilience. Robotics, AI algorithms, and real-time data analytics optimize operations, ensuring regulatory compliance.

This minimizes errors, optimizes trade flows, and empowers stakeholders with inventory control, strengthening supply chain ecosystems.

Safety Is #1

Warehouse logistics prioritize safety through adherence to OSHA standards, ergonomic design, and real-time hazard monitoring. These practices manage risks meticulously, fortify the supply chain, and ensure operational continuity, enhancing resilience against disruptions. Mastering these strategies is vital for maintaining a strong supply chain architecture.

Controlled Inspections

Controlled inspections improve supply chain resilience and ensure safety compliance. Thorough scrutiny and verification processes help identify and minimize disruptions, establishing a robust operational framework. Adhering to best practices enhances the warehouse’s role in a smooth supply chain.

Activate Warehouse Control System (WCS)

Implementing a Warehouse Control System (WCS) enhances warehouse logistics, strengthens supply chain resilience, and integrates with inspections and other management technologies. This automation framework improves transparency, optimizes resource allocation, and ensures regulatory compliance.

It enables inventory control and increases throughput speed. WCS is vital for supply chain professionals.

Outsource to Reliable 3PL

Outsourcing warehouse logistics to a reliable 3PL provider improves supply chain resilience. Businesses can adapt and optimize operations by leveraging a 3PL’s infrastructure, technology, and trade insights.

This collaboration enhances adaptability, aligning warehousing and logistics with advanced supply chain demands.

Warehouse Management Philosophy: From Concept to Implementation

The Warehouse Management Philosophy ensures efficient handling and storage of goods. It focuses on monitoring and reporting, allowing measurement against KPIs. Here are the Warehouse Management Systems streamline fulfillment strategies:

Optimization

The process of maximizing efficiency and productivity in all aspects of warehousing operations. This includes optimizing inventory management, order fulfillment, warehouse layout design, and resource allocation.

The main goal is minimizing costs, reducing errors, and enhancing overall performance to meet customer demands effectively.

From Monitoring and Reporting Strategy to KPI

Effective warehouse management requires a robust monitoring and reporting strategy. This involves tracking inventory, order fulfillment rates, accuracy, and regulatory compliance. Advanced WMS tools can analyze data to generate key performance indicators (KPIs) and optimize resource allocation, aligning warehouse operations with business goals.

Fulfillment Strategy

A warehouse management fulfillment strategy involves efficient and accurate product delivery through careful planning, regulation adherence, and trade logistics expertise. Advanced WMS tools manage inventory flow, optimize pick-pack-ship processes, and maintain service level agreements. The objective is to achieve excellence in distribution operations.

Warehouse Management Success Stories

Warehouse Management Systems (WMS) have demonstrated their transformative impact across various sectors:

Nature’s Best : A health and natural foods distributor, Nature’s Best streamlined its distribution with a global WMS, reducing labor costs by over 30%, doubling productivity, and retaining 97% of full-time employees.
Bradshaw Home : To comply with Walmart’s direct store delivery program, Bradshaw integrated new systems into its WMS, successfully aligning with the retail giant’s requirements.
Amazon Fulfillment Technologies (AFT): AFT migrated to Amazon Aurora, a cloud-based database, enhancing performance and reducing administrative overhead, thereby supporting Amazon’s rapid business growth.

These cases illustrate the efficacy of WMS in improving operational efficiency and customer satisfaction in diverse business environments.

Using A WMS (Warehouse Management System)

A Warehouse Management System (WMS) offers significant operational advantages, including real-time inventory tracking and improved order fulfillment accuracy. It optimizes warehouse space use and maintains balanced stock levels, thus reducing overstocking and understocking.

Additionally, WMS enhances workforce productivity through automation and integrates seamlessly with other systems, which is crucial for efficient supply chain management.

Benefits of 3PL

Third-party logistics providers, commonly known as 3PLs , are pivotal in optimizing the supply chain by leveraging their expertise and infrastructure to enhance logistical performance. Here are the benefits of using third-party logistics providers.

Maximizing Logistical Performance

Third-party logistics (3PL) maximizes logistical performance by leveraging expertise, resources, and network optimization. By outsourcing logistics activities, companies can focus on core competencies, reduce costs, and improve efficiency.

For instance, a company partnering with a 3PL provider can benefit from its advanced technology, infrastructure, and industry knowledge to streamline supply chain operations and achieve higher levels of success.

Access To Multiple Warehouses And Geographical Advantages

Partnering with a 3PL provider gives businesses access to multiple warehouses, improving distribution efficiency and expanding customer reach. It ensures compliance with regional regulations, simplifies supply chain logistics, optimizes inventory management, and reduces transportation costs. This contributes to operational success and global expansion.

Time-Saving

Using a 3PL provider can save companies time managing logistics and supply chains. 3PL firms specialize in streamlining operations and meeting regulatory standards, improving efficiency. This allows businesses to focus on core competencies, driving growth and competitive advantage following industry best practices.

Warehouse Space Efficiency

While time-saving measures are critical for supply chain optimization, third-party logistics (3PL) providers enhance warehouse space efficiency, allowing businesses to adapt their storage solutions to fluctuating inventory levels without capital investment in real estate.

This flexibility is vital in managing inventory peaks and troughs, thus ensuring compliance with industry standards and optimizing supply chain dynamics for sustained operational excellence.

Real-Time Feedback And Control

Real-time feedback and control are vital for advanced 3PL services. They offer immediate insights into the warehouse operation, improving decision-making and responsiveness. These mechanisms ensure compliance and provide detailed visibility into supply chain logistics.

They use data-driven precision to enhance warehouse strategies and contribute to competitive advantage and success.

In addressing common inquiries within warehouse management, it is imperative to outline the core elements and operational imperatives that underpin effective warehouse operations. The five essentials of warehouse management encompass:

What Are The 5 Essentials Of Warehouse Management?

The five essentials of warehouse management include:

Inventory accuracy
Efficient space utilization
Effective labor management
Seamless integration of technology
Robust process optimization

What Is The Most Important Thing In Warehouse Management?

Accurate inventory is crucial for efficient warehouse management; it ensures operational efficiency, customer satisfaction, and proper resource allocation.

What Are The 4 Basic Functions Of A Warehouse?

The four basic functions of a warehouse are storage, inventory management, order fulfillment, and goods consolidation. They are crucial for efficient operations and supply chain management.

What Is SAP In A Warehouse?

SAP is an ERP software that enhances warehouse management through integration, real-time data analysis, inventory insights, logistics streamlining, and supply chain optimization.

Effective Warehouse Management System Summary

Implementing an effective warehousing process can significantly streamline inventory tracking, reduce errors, and enhance overall efficiency within a facility. By adhering to regulatory standards, such systems ensure compliance while offering granular visibility into operations.

With trade expertise embedded into their functionality, they empower stakeholders to master complex logistics challenges, thus delivering precision in warehousing and operational excellence. Visit inbound logistics for more resources regarding the warehouse process and other supply chain topics.

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WMS 101: A Beginners Guide to Warehouse Management

A modern warehouse with robitcs and automation prepares ecommerce orders for packing and shipping

For many small (or even large) businesses, the concept of a warehouse is somewhat simple: You receive stuff and you store it in a warehouse until you send it to its next destination. It’s not uncommon to see a warehouse keep track of things on sheets of paper or a computer spreadsheet.

Hoj Innovations and our sister company, WarehouseOS , are take active steps to keep our clients at the forefront of technology and best practices as the industry evolves.

As companies grow, however, they soon discover the vital importance of a Warehouse Management System (WMS). The tools, usually referred to as a WMS , make sense out of chaos and allow businesses to accurately keep track of inventory in real time as goods are received, stored, purchased, picked, packed and shipped.

If you’re new to the concept of a WMS, fear not! In this beginner’s guide, we’ll unravel the mysteries of warehouse management systems, exploring what they are, how they work, and why they matter.

WMS 101: A Beginner’s Guide to Understanding Warehouse Management Systems

ecommerce workers prepare product for shipping in an infographic depicting a modern warehouse

As you embark on your journey to grasp the realm of WMS tools, remember that you’re not alone. This beginner’s guide is your compass, leading you through the labyrinth of WMS concepts, functions, and significance.

WMS is the technological heartbeat that keeps warehouses pulsating with efficiency, turning the seemingly mundane into a symphony of operational excellence.

Whether you’re a business owner looking to enhance operations or a curious mind delving into the world of logistics, understanding WMS is a crucial step toward mastering the intricate art of modern commerce. Embrace the potential, for within the realm of WMS tools lies the power to orchestrate success in the dynamic theater of business.

What is a Warehouse Management System (WMS)?

A Warehouse Management System (WMS) is a specialized software solution aimed at enhancing the efficiency and effectiveness of warehouse and distribution center operations. It centralizes the control of activities such as monitoring stock quantities, locating inventory, and fulfilling orders. The platform aids in multiple warehouse tasks, including the receipt and storage of goods, order assembly, and dispatching shipments.

It frequently works in conjunction with other software systems like Enterprise Resource Planning (ERP) and Transportation Management Systems (TMS) for a more streamlined operational workflow.

Imagine the bustling hub of a perfectly managed warhouse, products flow seamlessly from storage shelves to shipping docks, orders are fulfilled promptly, and inventory levels are always up to date. This is a reality for many users of WMS tools.

The Inner Workings of a WMS:

At its heart, a WMS is a sophisticated software solution that is purpose-built to optimize and streamline the multitude of processes that take place within a warehouse ecosystem. From the moment a shipment arrives at the loading dock to the instant a package is dispatched to its final destination, a WMS is the invisible force driving efficiency, accuracy, and coordination among all of your workers.

Inventory Management :

In the world of retail, manufacturing, or e-commerce, inventory is the life blood of a business. A WMS keeps a vigilant eye on every product that enters and exits the warehouse. It’s like a digital librarian, cataloging each item, tracking its movement, and ensuring its rightful place on the shelves.

When a new shipment arrives, the WMS springs into action. Verifies the quantities, and directs workers to the designated storage locations. This meticulous attention to detail prevents any discrepancies and minimizes the risk of costly errors.

Any orders picked for shipment are subsequently scanned or manually logged into the software so that inventory levels stay up to date and accurate.

Order Fulfillment:

Ever wonder how your online order goes from a click of a button to a neatly packaged parcel on your doorstep? A WMS is the magician behind this transformation. When a customer places an order, the WMS swings into action to create a seamless journey from order confirmation to shipment.

Shipping and Receiving:

Shipping and receiving are two sides of the same coin in the world of warehousing. A WMS brings order to these often chaotic processes.

When it’s time to dispatch orders, the most systems should be able to integrate with most TMS tools on the market today. These integrations are important for the printing of shipping labels.

On the flip side, when new shipments arrive, the WMS orchestrates the receiving process. Received goods are input digitally or manually into the system and then instantly updated across the board for all users.

Returns Management :

Returns are an inevitable part of the retail landscape, but managing them can be a complex challenge. A WMS, however, turns this challenge into an opportunity for efficiency. When returned items enter the warehouse, the WMS guides them to the appropriate location, whether it’s for restocking, refurbishing, or disposal.

This level of organization minimizes the time and effort required to process returns, ensuring that returned items swiftly re-enter circulation.

The Digital Brain:

To truly understand the role of a WMS, think of it as the digital brain behind a well-organized and efficient warehouse. It’s the thinking entity that keeps track of inventory levels, suggests the best storage locations, optimizes pick paths, and even predicts the replenishment needs based on historical data.

A well-implemented WMS takes the guesswork out of warehouse management. It replaces manual spreadsheets, outdated systems, and labor-intensive tasks with automated precision. In essence, it empowers warehouse managers to focus on strategic decision-making rather than getting bogged down by routine operational tasks.

In addition you stop wasting time looking for items on a pick sheet and instead are guided to each item on your pick list digitally and visually in some cases.

How Does a Warehouse Management System Work?

A WMS operates at the intersection of technology, process optimization, and human labor. Here’s how it typically works:

Integration

A WMS can integrate with various other software systems, such as Enterprise Resource Planning systems (ERPs), e-commerce platforms, and transportation management systems (TMS). These essential integrations ensure that data flows seamlessly between different parts of the business. Keeping online stores, and inventory levels in sync and up to date.

Data Collection

A warehouse infographic with loading, unloading and shipping product

Top of the line WMS softwares will even give you heat tracking capabilities to let you know which items are picked the most allowing you to optimize your pick operations further beyond the software.

Automation

A key advantage of WMS is automation. As orders come in, the system generates optimized pick lists, guiding warehouse workers through the most efficient routes to collect items. Automation reduces errors and speeds up the order fulfillment process.

These systems -while they aren’t true automation – help empower your workers to do more when the need arises, like when order volumes sky rocket from a resent sale. It helps your warehouse stick to your committed shipping times thus increasing customer satisfaction and brand loyalty.

Routing and Allocation

WMS data collection services help you choose the best storage locations for incoming items based on item popularity and pick volumes.

Similarly, during order picking, the system wil suggest the most efficient picking paths to collect items based on the pick list assigned to that worker.

Real-time Tracking

WMS provides real-time visibility into inventory levels, order statuses, and shipment tracking. This transparency enables managers to respond promptly to changes and unexpected situations.

Performance Monitoring

Through analytics, a WMS monitors key performance indicators (KPIs) such as order processing times, inventory turnover rates, and accuracy levels. This data helps identify areas for improvement.

Why Does a WMS Matter?

Implementing a Warehouse Management System offers a multitude of benefits that directly contribute to operational excellence and customer satisfaction:

Improved Efficiency

A WMS streamlines processes, reduces manual errors, and optimizes resource utilization. This leads to faster order processing times, lower operational costs, and enhanced overall efficiency.

Accurate Inventory Management

Maintaining accurate inventory records is crucial to preventing stockouts and overstock situations. A WMS provides real-time visibility into inventory levels, enabling businesses to manage stock more effectively.

Enhanced Order Accuracy

A delivery truck is stationed at a warehouse with workers ready to load and unload parcels

Faster Fulfillment

Even with the added verification redundancies, fulfillment speeds are not hindered at all. With optimized pick paths and real-time order updates, a WMS accelerates the order fulfillment process. This speed is essential in meeting customer expectations for quick deliveries.

Scalability

As businesses grow, the complexity of warehouse operations increases. A scalable WMS can adapt to changing needs, accommodating higher order volumes and larger inventories.

Many systems on the market today offer some type of plan that grows according to the needs of you business.

Data-Driven Insights

The analytics and reporting capabilities of a WMS provide valuable insights into warehouse operations. Businesses can identify trends, make informed decisions, and continuously improve their processes.

Customer Satisfaction

Ultimately, all these benefits contribute to improved customer satisfaction. Accurate orders, faster deliveries, and consistent service levels create positive customer experiences.

Choosing the Right WMS: Navigating the Path to Operational Excellence

In the realm of modern business, where the optimization of operations is pivotal to success, selecting the right Warehouse Management System (WMS) can be a game-changing decision. A well-suited WMS isn’t just a software solution; it’s a strategic investment that can propel your warehouse operations to new heights of efficiency and effectiveness. As you embark on the journey to find the perfect WMS for your business, there are several critical factors to consider.

Scalability: Ensuring Growth-Ready Performance

Imagine your business is a plant that’s destined to grow and flourish. Your chosen WMS should be the pot that holds and supports that growth.

Scalability is the backbone of a successful WMS, ensuring that it can seamlessly accommodate your projected growth without compromising performance or stability.

As you evaluate potential WMS options, consider how well each system can handle increasing order volumes, larger inventories, and expanded warehouse operations.

An ideal WMS will effortlessly scale alongside your business, adapting to new challenges and demands without causing disruptions or bottlenecks in your operations.

Integration: Weaving a Digital Tapestry

In the interconnected landscape of modern technology, seamless integration is key. Your chosen WMS should be a harmonious addition to your existing software ecosystem rather than a standalone island.

The ability of your WMS to integrate with your Enterprise Resource Planning (ERP) system, e-commerce platforms, and other relevant software is a critical consideration.

Integration ensures that data flows seamlessly across different functions of your business. It prevents duplication of efforts, minimizes errors, and provides a comprehensive view of your operations.

A WMS that integrates smoothly with your existing systems is a powerful tool in streamlining processes and improving decision-making.

User-Friendly Interface: Unlocking Efficiency with Intuitive Design

A modern warehouse with a forklift, packages and delivery trucks

Training time can be significantly reduced when your employees can quickly grasp the functionalities and workflows of the WMS.

Look for a system with a clean, intuitive design that empowers your team to work efficiently from day one.

Customization: Tailoring the Solution to Fit

No two businesses are identical, and your warehouse operations likely have unique processes and requirements that set you apart. A WMS that can be customized to align with your specific business processes is a valuable asset.

The ability to tailor the WMS to your needs ensures that you’re not forced into a one-size-fits-all solution. Instead, the WMS becomes a tool that enhances your existing workflows and adapts to your unique challenges.

Customization might involve tweaking order fulfillment processes, defining storage locations, creating specific reports that reflect your business priorities, or even creating custom integrations to fit your company needs.

Support and Training: Guiding Your Journey

Implementing a new WMS is not a one-time event but rather an ongoing journey. Adequate support and training are crucial to ensure a smooth transition and successful utilization of the system.

When evaluating WMS providers, inquire about their support offerings. Do they offer comprehensive training for your staff? Is there a responsive support team available to assist with technical issues or questions that arise?

A provider that understands the significance of guiding you through the implementation process and providing continuous support can greatly contribute to your WMS’s success.

Cost: Beyond the Initial Investment

While cost is undoubtedly a factor in any business decision, it’s important to view it through the lens of overall return on investment (ROI). A seemingly lower-priced WMS might not offer the scalability, integration, or customization your business requires, leading to limitations and additional costs down the line.

Consider not only the initial implementation costs but also the long-term benefits. An effective WMS can drive operational efficiency, reduce errors, and improve customer satisfaction, all of which contribute to a positive ROI. It’s a strategic investment that should be evaluated in terms of the value it brings to your business over time.

In Conclusion

Selecting the appropriate Warehouse Management System for your business is a decision that goes beyond software features; it’s about aligning technological capabilities with your strategic objectives. A scalable, integrated, user-friendly, and customizable WMS, backed by robust support and an understanding of the true cost-benefit dynamics, can be your compass on the journey to operational excellence.

Remember, a well-chosen WMS isn’t just a tool; it’s a partner that empowers your business to navigate the complex seas of modern warehousing with confidence and efficiency. As you evaluate your options, keep in mind that the right WMS isn’t just about the present; it’s an investment in a future where your warehouse operations stand as a testament to your strategic vision and commitment to excellence.

A Warehouse Management System is a powerful tool that can revolutionize the way you manage your warehouse operations. By streamlining processes, enhancing efficiency, and providing real-time insights, a WMS enables businesses to meet customer demands and remain competitive in today’s dynamic market.

As you embark on your journey to implement a WMS, remember that the right system can be a game-changer for your business, propelling you toward success in the ever-evolving world of commerce.

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A literature review of smart warehouse operations management

Review Article
Open access
Published: 12 January 2022
Volume 9 , pages 31–55, ( 2022 )

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Lu Zhen 1 &
Haolin Li 1

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E-commerce, new retail, and other changes have highlighted the requirement of high efficiency and accuracy in the logistics service. As an important section in logistics and supply chain management, warehouses need to respond positively to the increasing requirement. The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasingly attracting the attention of industry and technology giants as an efficient solution for the future of warehouse development. This study provides a holistic view of operations management problems within the context of smart warehouses. We provide a framework to review smart warehouse operations management based on the characteristics of smart warehouses, including the perspectives of information interconnection, equipment automation, process integration, and environmental sustainability. A comprehensive review of relevant literature is then carried out based on the framework with four perspectives. This study could provide future research directions on smart warehouses for academia and industry practitioners.

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Supply chain disruptions and resilience: a major review and future research agenda

Literature review of Industry 4.0 and related technologies

Big Data Analytics: Applications, Prospects and Challenges

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Aldarondo F J, Bozer Y A (2020). Expected distances and alternative design configurations for automated guided vehicle-based order picking systems. International Journal of Production Research, in press, doi: https://doi.org/10.1080/00207543.2020.1856438

Amato F, Basile F, Carbone C, Chiacchio P (2005). An approach to control automated warehouse systems. Control Engineering Practice, 13(10): 1223–1241

Article Google Scholar

Ang M, Lim Y F (2019). How to optimize storage classes in a unit-load warehouse. European Journal of Operational Research, 278(1): 186–201

Article MathSciNet MATH Google Scholar

Azadeh K, de Koster R B M, Roy D (2019a). Robotized and automated warehouse systems: Review and recent developments. Transportation Science, 53(4): 917–945

Azadeh K, Roy D, de Koster R B M (2019b). Design, modeling, and analysis of vertical robotic storage and retrieval systems. Transportation Science, 53(5): 1213–1234

Bartolini M, Bottani E, Grosse E H (2019). Green warehousing: Systematic literature review and bibliometric analysis. Journal of Cleaner Production, 226: 242–258

Basso F, Epstein L D, Pezoa R, Varas M (2019). An optimization approach and a heuristic procedure to schedule battery charging processes for stackers of palletized cargo. Computers & Industrial Engineering, 133: 9–18

Ben-Daya M, Hassini E, Bahroun Z (2017). Internet of Things and supply chain management: A literature review. International Journal of Production Research, 57(15–16): 4719–1742

Google Scholar

Bottani E, Vignali G (2019). Augmented reality technology in the manufacturing industry: A review of the last decade. IISE Transactions, 51(3): 284–310

Boysen N, Briskorn D, Emde S (2017). Parts-to-picker based order processing in a rack-moving mobile robots environment. European Journal of Operational Research, 262(2): 550–562

Boysen N, de Koster R B M, Weidinger F (2019). Warehousing in the e-commerce era: A survey. European Journal of Operational Research, 277(2): 396–411

Boysen N, Stephan K (2016). A survey on single crane scheduling in automated storage/retrieval systems. European Journal of Operational Research, 254(3): 691–704

Boywitz D, Boysen N (2018). Robust storage assignment in stack- and queue-based storage systems. Computers & Operations Research, 100: 189–200

Boywitz D, Schwerdfeger S, Boysen N (2019). Sequencing of picking orders to facilitate the replenishment of A-Frame systems. IISE Transactions, 51(4): 368–381

Bozer Y A, Aldarondo F J (2018). A simulation-based comparison of two goods-to-person order picking systems in an online retail setting. International Journal of Production Research, 56(11): 3838–3858

Cainiao (2018). The new pattern of logistics in China. Available at: taobao.com/markets/cnwww/cn-news-detail?spm=a21da.144546.0.0.77103045qpjGh5&id=90

Chen H L, Xue G L, Wang Z B (2017). Efficient and reliable missing tag identification for large-scale RFID systems with unknown tags. IEEE Internet of Things Journal, 4(3): 736–748

Chen W Y, Gong Y M, de Koster R B M (2020). Performance estimation of a passing-crane automated storage and retrieval system. International Journal of Production Research, in press, doi: https://doi.org/10.1080/00207543.2020.1854886

Chen Z X, Li X P, Gupta J N D (2015). A bi-directional flow-rack automated storage and retrieval system for unit-load warehouses. International Journal of Production Research, 53(14): 4176–4188

Chen Z X, Li X P, Gupta J N D (2016). Sequencing the storages and retrievals for flow-rack automated storage and retrieval systems with duration-of-stay storage policy. International Journal of Production Research, 54(4): 984–998

Cheng Z M, Fu X, Wang J, Xu X H (2021). Research on robot charging strategy based on the scheduling algorithm of minimum encounter time. Journal of the Operational Research Society, 72(1): 237–245

China Daily (2017). How Shanghai’s Yangshan port can run without humans. Available at: english.pudong.gov.cn/2017-12/12/c_118557.htm

Choy K L, Ho G T S, Lee C K H (2017). A RFID-based storage assignment system for enhancing the efficiency of order picking. Journal of Intelligent Manufacturing, 28(1): 111–129

Custodio L, Machado R (2019). Flexible automated warehouse: A literature review and an innovative framework. International Journal of Advanced Manufacturing Technology, 106(1–2): 533–558

Dadhich P, Genovese A, Kumar N, Acquaye A (2015). Developing sustainable supply chains in the UK construction industry: A case study. International Journal of Production Economics, 164: 271–284

de Koster R B M, Le-Duc T, Roodbergen K J (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2): 481–501

Article MATH Google Scholar

Derhami S, Smith J S, Gue K R (2019). Space-efficient layouts for block stacking warehouses. IISE Transactions, 51(9): 957–971

Digani V, Hsieh M A, Sabattini L, Secchi C (2019). Coordination of multiple AGVs: A quadratic optimization method. Autonomous Robots, 43(3): 539–555

Digani V, Sabattini L, Secchi C, Fantuzzi C (2015). Ensemble coordination approach in multi-AGV systems applied to industrial warehouses. IEEE Transactions on Automation Science and Engineering, 12(3): 922–934

Dou J J, Chen C L, Yang P (2015). Genetic scheduling and reinforcement learning in multirobot systems for intelligent warehouses. Mathematical Problems in Engineering, 2015: 597956

Draganjac I, Miklic D, Kovacic Z, Vasiljevic G, Bogdan S (2016). Decentralized control of multi-AGV systems in autonomous warehousing applications. IEEE Transactions on Automation Science and Engineering, 13(4): 1433–1447

Durach C F, Kembro J, Wieland A (2017). A new paradigm for systematic literature reviews in supply chain management. Journal of Supply Chain Management, 53(4): 67–85

Emde S, Polten L, Gendreau M (2020). Logic-based benders decomposition for scheduling a batching machine. Computers & Operations Research, 113: 104777

Ene S, Kucukoglu I, Aksoy A, Ozturk N (2016). A genetic algorithm for minimizing energy consumption in warehouses. Energy, 114: 973–980

Epp M, Wiedemann S, Furmans K (2017). A discrete-time queueing network approach to performance evaluation of autonomous vehicle storage and retrieval systems. International Journal of Production Research, 55(4): 960–978

Fager P, Sgarbossa F, Calzavara M (2021). Cost modelling of onboard cobot-supported item sorting in a picking system. International Journal of Production Research, 59(11): 3269–3284

Fottner J, Clauer D, Hormes F, Freitag M, Beinke T, Overmeyer L, Gottwald S N, Elbert R, Sarnow T, Schmidt T, Reith K B, Zadek H, Thomas F (2021). Autonomous systems in intralogistics — state of the art and future research challenges. Logistics Research, 14(1): 2

Foumani M, Moeini A, Haythorpe M, Smith-Miles K (2018). A cross-entropy method for optimising robotic automated storage and retrieval systems. International Journal of Production Research, 56(19): 6450–6472

Fragapane G, de Koster R B M, Sgarbossa F, Strandhagen J O (2021). Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda. European Journal of Operational Research, 294(2): 405–426

Gagliardi J P, Renaud J, Ruiz A (2012). Models for automated storage and retrieval systems: A literature review. International Journal of Production Research, 50(24): 7110–7125

Gagliardi J P, Renaud J, Ruiz A (2015). Sequencing approaches for multiple-aisle automated storage and retrieval systems. International Journal of Production Research, 53(19): 5873–5883

Gareis M, Hehn M, Stief P, Korner G, Birkenhauer C, Trabert J, Mehner T, Vossiek M, Carlowitz C (2021). Novel UHF-RFID listener hardware architecture and system concept for a mobile robot based MIMO SAR RFID localization. IEEE Access, 9: 497–510

Gharehgozli A H, Xu C, Zhang W D (2021). High multiplicity asymmetric traveling salesman problem with feedback vertex set and its application to storage/retrieval system. European Journal of Operational Research, 289(2): 495–507

Gharehgozli A H, Zaerpour N (2020). Robot scheduling for pod retrieval in a robotic mobile fulfillment system. Transportation Research Part E: Logistics and Transportation Review, 142: 102087

Gharehgozli A H, Yu Y G, Zhang X D, de Koster R B M (2017). Polynomial time algorithms to minimize total travel time in a two-depot automated storage/retrieval system. Transportation Science, 51(1): 19–33

Ghelichi Z, Kilaru S (2021). Analytical models for collaborative autonomous mobile robot solutions in fulfillment centers. Applied Mathematical Modelling, 91: 438–457

Giusti I, Cepolina E M, Cangialosi E, Aquaro D, Caroti G, Piemonte A (2019). Mitigation of human error consequences in general cargo handler logistics: Impact of RFID implementation. Computers & Industrial Engineering, 137: 106038

Glock C H, Grosse E H, Abedinnia H, Emde S (2019). An integrated model to improve ergonomic and economic performance in order picking by rotating pallets. European Journal of Operational Research, 273(2): 516–534

Glock C H, Grosse E H, Neumann W P, Feldman A (2021). Assistive devices for manual materials handling in warehouses: A systematic literature review. International Journal of Production Research, 59(11): 3446–3469

Gong Y M, Jin M Z, Yuan Z (2021). Robotic mobile fulfilment systems considering customer classes. International Journal of Production Research, 59(16): 5032–5049

Grosse E H, Glock C H, Neumann W P (2017). Human factors in order picking: A content analysis of the literature. International Journal of Production Research, 55(5): 1260–1276

Gružauskas V, Baskutis S, Navickas V (2018). Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles. Journal of Cleaner Production, 184: 709–717

Gu J X, Goetschalckx M, McGinnis L F (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1): 1–21

Gu J X, Goetschalckx M, McGinnis L F (2010). Research on warehouse design and performance evaluation: A comprehensive review. European Journal of Operational Research, 203(3): 539–549

Guo X L, Yu Y G, de Koster R B M (2016). Impact of required storage space on storage policy performance in a unit-load warehouse. International Journal of Production Research, 54(8): 2405–2418

Ha Y, Chae J (2019). A decision model to determine the number of shuttles in a tier-to-tier SBS/RS. International Journal of Production Research, 57(4): 963–984

Habibi Tostani H, Haleh H, Hadji Molana S M, Sobhani F M (2020). A Bi-Level Bi-Objective optimization model for the integrated storage classes and dual shuttle cranes scheduling in AS/RS with energy consumption, workload balance and time windows. Journal of Cleaner Production, 257: 120409

Hahn-Woernle P, Gunthner W A (2018). Power-load management reduces energy-dependent costs of multi-aisle mini-load automated storage and retrieval systems. International Journal of Production Research, 56(3): 1269–1285

Han S D, Yu J J (2020). DDM: Fast near-optimal multi-robot path planning using diversified-path and optimal sub-problem solution database heuristics. IEEE Robotics and Automation Letters, 5(2): 1350–1357

Hao J J, Yu Y G, Zhang L L (2015). Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack. International Journal of Production Research, 53(17): 5153–5173

Hassan M, Ali M, Aktas E, Alkayid K (2015). Factors affecting selection decision of auto-identification technology in warehouse management: An international Delphi study. Production Planning and Control, 26(12): 1025–1049

He Z J, Aggarwal V, Nof S Y (2018). Differentiated service policy in smart warehouse automation. International Journal of Production Research, 56(22): 6956–6970

Heshmati S, Toffolo T A M, Vancroonenburg W, Vanden Berghe G (2019). Crane-operated warehouses: Integrating location assignment and crane scheduling. Computers & Industrial Engineering, 129: 274–295

Jaghbeer Y, Hanson R, Johansson M I (2020). Automated order picking systems and the links between design and performance: A systematic literature review. International Journal of Production Research, 58(15): 4489–4505

Jiang M, Leung K H, Lyu Z Y, Huang G Q (2020). Picking-replenishment synchronization for robotic forward-reserve warehouses. Transportation Research Part E: Logistics and Transportation Review, 144: 102138

Jiang Z Z, Wan M Z, Pei Z, Qin X W (2021). Spatial and temporal optimization for smart warehouses with fast turnover. Computers & Operations Research, 125: 105091

Kabir Q S, Suzuki Y (2018). Increasing manufacturing flexibility through battery management of automated guided vehicles. Computers & Industrial Engineering, 117: 225–236

Keung K L, Lee C K M, Ji P, Ng K K H (2020). Cloud-based cyber-physical robotic mobile fulfillment systems: A case study of collision avoidance. IEEE Access, 8: 89318–89336

Kress D, Boysen N, Pesch E (2017). Which items should be stored together? A basic partition problem to assign storage space in group-based storage systems. IISE Transactions, 49(1): 13–30

Kumawat G L, Roy D (2021). A new solution approach for multi-stage semi-open queuing networks: An application in shuttle-based compact storage systems. Computers & Operations Research, 125: 105086

Lam H Y, Choy K L, Ho G T S, Cheng S W Y, Lee C K M (2015). A knowledge-based logistics operations planning system for mitigating risk in warehouse order fulfillment. International Journal of Production Economics, 170: 763–779

Lamballais Tessensohn T, Roy D, de Koster R B M (2017). Estimating performance in a robotic mobile fulfillment system. European Journal of Operational Research, 256(3): 976–990

Lamballais Tessensohn T, Roy D, de Koster R B M (2020). Inventory allocation in robotic mobile fulfillment systems. IISE Transactions, 52(1): 1–17

Lee C K M, Lin B B, Ng K K H, Lv Y Q, Tai W C (2019). Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration. Advanced Engineering Informatics, 42: 100998

Lee C K M, Lv Y Q, Ng K K H, Ho W, Choy K L (2018). Design and application of Internet of Things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8): 2753–2768

Lee C W, Wong W P, Ignatius J, Rahman A, Tseng M L (2020). Winner determination problem in multiple automated guided vehicle considering cost and flexibility. Computers & Industrial Engineering, 142: 106337

Lee H F, Schaefer S K (1996). Retrieval sequencing for unit-load automated storage and retrieval systems with multiple openings. International Journal of Production Research, 34(10): 2943–2962

Lee H Y, Murray C C (2019). Robotics in order picking: Evaluating warehouse layouts for pick, place, and transport vehicle routing systems. International Journal of Production Research, 57(18): 5821–5841

Lenoble N, Hammami R, Frein Y (2021). Fixed and rolling batching for order picking from multiple carousels. Production Planning and Control, 32(8): 652–669

Lerher T (2016). Travel time model for double-deep shuttle-based storage and retrieval systems. International Journal of Production Research, 54(9): 2519–2540

Lerher T (2018). Aisle changing shuttle carriers in autonomous vehicle storage and retrieval systems. International Journal of Production Research, 56(11): 3859–3879

Lerher T, Ficko M, Palcic I (2021). Throughput performance analysis of Automated Vehicle Storage and Retrieval Systems with multiple-tier shuttle vehicles. Applied Mathematical Modelling, 91: 1004–1022

Li X W, Hua G W, Huang A Q, Sheu J B, Cheng T C E, Huang F Q (2020). Storage assignment policy with awareness of energy consumption in the KIVA mobile fulfilment system. Transportation Research Part E: Logistics and Transportation Review, 144: 102158

Liu J M, Liao H T, White Jr J A (2021). Stochastic analysis of an automated storage and retrieval system with multiple in-the-aisle pick positions. Naval Research Logistics, 68(4): 454–470

Liu T, Gong Y M, de Koster R B M (2018). Travel time models for split-platform automated storage and retrieval systems. International Journal of Production Economics, 197: 197–214

Lu S P, Xu C, Zhong R Y, Wang L H (2018). A passive RFID tag-based locating and navigating approach for automated guided vehicle. Computers & Industrial Engineering, 125: 628–636

Mahroof K (2019). A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse. International Journal of Information Management, 45: 176–190

Małopolski W (2018). A sustainable and conflict-free operation of AGVs in a square topology. Computers & Industrial Engineering, 126: 472–481

Man X Y, Zheng F F, Chu F, Liu M, Xu Y F (2021). Bi-objective optimization for a two-depot automated storage/retrieval system. Annals of Operations Research, 296(1–2): 243–262

Article MathSciNet Google Scholar

Manavalan E, Jayakrishna K (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for Industry 4.0 requirements. Computers & Industrial Engineering, 127: 925–953

Manzini R, Accorsi R, Baruffaldi G, Cennerazzo T, Gamberi M (2016). Travel time models for deep-lane unit-load autonomous vehicle storage and retrieval system (AVS/RS). International Journal of Production Research, 54(14): 4286–4304

Manzini R, Accorsi R, Gamberi M, Penazzi S (2015). Modeling class-based storage assignment over life cycle picking patterns. International Journal of Production Economics, 170: 790–800

McFarlane D, Giannikas V, Lu W R (2016). Intelligent logistics: Involving the customer. Computers in Industry, 81: 105–115

Meneghetti A, Monti L (2015). Greening the food supply chain: An optimisation model for sustainable design of refrigerated automated warehouses. International Journal of Production Research, 53(21): 6567–6587

Mirzaei M, de Koster R B M, Zaerpour N (2017). Modelling load retrievals in puzzle-based storage systems. International Journal of Production Research, 55(21): 6423–6435

Mo L F, Li C Y (2019). Passive UHF-RFID localization based on the similarity measurement of virtual reference tags. IEEE Transactions on Instrumentation and Measurement, 68(8): 2926–2933

Nicolas L, Yannick F, Ramzi H (2018). Order batching in an automated warehouse with several vertical lift modules: Optimization and experiments with real data. European Journal of Operational Research, 267(3): 958–976

Pan C H, Wang C H (1996). A framework for the dual command cycle travel time model in automated warehousing systems. International Journal of Production Research, 34(8): 2099–2117

Pan J C H, Shih P H, Wu M H, Lin J H (2015). A storage assignment heuristic method based on genetic algorithm for a pick-and-pass warehousing system. Computers & Industrial Engineering, 81: 1–13

Qiu X, Luo H, Xu G Y, Zhong R Y, Huang G Q (2015). Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159: 4–15

Ramtin F, Pazour J A (2015). Product allocation problem for an AS/RS with multiple in-the-aisle pick positions. IIE Transactions, 47(12): 1379–1396

Reaidy P J, Gunasekaran A, Spalanzani A (2015). Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment. International Journal of Production Economics, 159: 29–40

Roodbergen K J, Vis I F A (2009). A survey of literature on automated storage and retrieval systems. European Journal of Operational Research, 194(2): 343–362

Roozbeh Nia A R, Haleh H, Saghaei A (2017). Dual command cycle dynamic sequencing method to consider GHG efficiency in unit-load multiple-rack automated storage and retrieval systems. Computers & Industrial Engineering, 111: 89–108

Rouwenhorst B, Reuter B, Stockrahm V, van Houtum G J, Mantel R J, Zijm W H M (2000). Warehouse design and control: Framework and literature review. European Journal of Operational Research, 122(3): 515–533

Roy D, Krishnamurthy A, Heragu S, Malmborg C (2015a). Queuing models to analyze dwell-point and cross-aisle location in autonomous vehicle-based warehouse systems. European Journal of Operational Research, 242(1): 72–87

Roy D, Krishnamurthy A, Heragu S, Malmborg C (2015b). Stochastic models for unit-load operations in warehouse systems with autonomous vehicles. Annals of Operations Research, 231(1): 129–155

Roy D, Nigam S, de Koster R B M, Adan I, Resing J (2019). Robot-storage zone assignment strategies in mobile fulfillment systems. Transportation Research Part E: Logistics and Transportation Review, 122: 119–142

Saidi-Mehrabad M, Dehnavi-Arani S, Evazabadian F, Mahmoodian V (2015). An Ant Colony Algorithm (ACA) for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs. Computers & Industrial Engineering, 86: 2–13

Salah B, Janeh O, Noche B, Bruckmann T, Darmoul S (2017). Design and simulation based validation of the control architecture of a stacker crane based on an innovative wire-driven robot. Robotics and Computer-integrated Manufacturing, 44: 117–128

Sartoretti G, Kerr J, Shi Y F, Wagner G, Kumar T K S, Koenig S, Choset H (2019). PRIMAL: Pathfinding via reinforcement and imitation multi-agent learning. IEEE Robotics and Automation Letters, 4(3): 2378–2385

Shahzad M, Liu A X (2015). Fast and accurate estimation of RFID tags. IEEE/ACM Transactions on Networking, 23(1): 241–254

Shi Y Y, Arthanari T, Liu X J, Yang B (2019). Sustainable transportation management: Integrated modeling and support. Journal of Cleaner Production, 212: 1381–1395

State Post Bureau of PRC (2020). China’s annual express delivery volume exceeded 70 billion items for the first time. Available at: spb.gov.cn/xw/dtxx_15079/202011/t20201117_3513569.html

Tao F, Zuo Y, Xu L D, Lv L, Zhang L (2014). Internet of Things and BOM-based life cycle assessment of energy-saving and emission-reduction of products. IEEE Transactions on Industrial Informatics, 10(2): 1252–1261

Tappia E, Marchet G, Melacini M, Perotti S (2015). Incorporating the environmental dimension in the assessment of automated warehouses. Production Planning and Control, 26(10): 824–838

Tappia E, Roy D, de Koster R B M, Melacini M (2017). Modeling, analysis, and design insights for shuttle-based compact storage systems. Transportation Science, 51(1): 269–295

Tappia E, Roy D, Melacini M, de Koster R B M (2019). Integrated storage-order picking systems: Technology, performance models, and design insights. European Journal of Operational Research, 274(3): 947–965

Technical.ly (2019). Amazon fulfillment center brings robotics to Sparrows Point. Available at: technical.ly/baltimore/2019/03/22/amazon-fulfillment-center-brings-robotics-to-sparrows-point-artificial-intelligence

Thanos E, Wauters T, Vanden Berghe G (2021). Dispatch and conflict-free routing of capacitated vehicles with storage stack allocation. Journal of the Operational Research Society, 72(8): 1780–1793

Tutam M, White J A (2019a). Multi-dock unit-load warehouse designs with a cross-aisle. Transportation Research Part E: Logistics and Transportation Review, 129: 247–262

Tutam M, White J A (2019b). A multi-dock, unit-load warehouse design. IISE Transactions, 51(3): 232–247

van Gils T, Ramaekers K, Braekers K, Depaire B, Caris A (2018a). Increasing order picking efficiency by integrating storage, batching, zone picking, and routing policy decisions. International Journal of Production Economics, 197: 243–261

van Gils T, Ramaekers K, Caris A, de Koster R B M (2018b). Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review. European Journal of Operational Research, 267(1): 1–15

Wang K, Yang Y, Li R (2020a). Travel time models for the rack-moving mobile robot system. International Journal of Production Research, 58(14): 4367–4385

Wang W, Wu Y H, Zheng J, Chi C (2020b). A comprehensive framework for the design of modular robotic mobile fulfillment systems. IEEE Access, 8: 13259–13269

Wang Y Y, Liu Z W, Huang K, Mou S D, Zhang R X (2020c). Model and solution approaches for retrieval operations in a multi-tier shuttle warehouse system. Computers & Industrial Engineering, 141: 106283

Wang Y Y, Mou S D, Wu Y H (2015). Task scheduling for multi-tier shuttle warehousing systems. International Journal of Production Research, 53(19): 5884–5895

Wauters T, Villa F, Christiaens J, Alvarez-Valdes R, Vanden Berghe G (2016). A decomposition approach to dual shuttle automated storage and retrieval systems. Computers & Industrial Engineering, 101: 325–337

Weidinger F, Boysen N, Briskorn D (2018). Storage assignment with rack-moving mobile robots in KIVA warehouses. Transportation Science, 52(6): 1479–1495

Wen J M, He L, Zhu F M (2018). Swarm robotics control and communications: Imminent challenges for next generation smart logistics. IEEE Communications Magazine, 56(7): 102–107

Winkelhaus S, Grosse E H (2020). Logistics 4.0: A systematic review towards a new logistics system. International Journal of Production Research, 58(1): 18–43

Xie L, Thieme N, Krenzler R, Li H Y (2021). Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems. European Journal of Operational Research, 288(1): 80–97

Xu X, Zhao X, Zou B, Gong Y, Wang H (2020). Travel time models for a three-dimensional compact AS/RS considering different I/O point policies. International Journal of Production Research, 58(18): 5432–5455

Xu X H, Gong Y M, Fan X X, Shen G W, Zou B P (2018). Travel-time model of dual-command cycles in a 3D compact AS/RS with lower mid-point I/O dwell point policy. International Journal of Production Research, 56(4): 1620–1641

Xu X H, Shen G W, Yu Y G, Huang W (2015). Travel time analysis for the double-deep dual-shuttle AS/RS. International Journal of Production Research, 53:3

Xu X H, Zou B P, Shen G W, Gong Y M (2016). Travel-time models and fill-grade factor analysis for double-deep multi-aisle AS/RSs. International Journal of Production Research, 54(14): 4126–4144

Yalcin A, Koberstein A, Schocke K O (2019). An optimal and a heuristic algorithm for the single-item retrieval problem in puzzle-based storage systems with multiple escorts. International Journal of Production Research, 57(1): 143–165

Yang H, Kumara S, Bukkapatnam S T S, Tsung F (2019). The Internet of Things for smart manufacturing: A review. IISE Transactions, 51(11): 1190–1216

Yang P, Miao L X, Xue Z J, Qin L (2015a). An integrated optimization of location assignment and storage/retrieval scheduling in multishuttle automated storage/retrieval systems. Journal of Intelligent Manufacturing, 26(6): 1145–1159

Yang P, Miao L X, Xue Z J, Qin L (2015b). Optimal storage rack design for a multi-deep compact AS/RS considering the acceleration/deceleration of the storage and retrieval machine. International Journal of Production Research, 53(3): 929–943

Yang P, Miao L X, Xue Z J, Ye B (2015c). Variable neighborhood search heuristic for storage location assignment and storage/retrieval scheduling under shared storage in multi-shuttle automated storage/retrieval systems. Transportation Research Part E: Logistics and Transportation Review, 79: 164–177

Yetkin Ekren B (2017). Graph-based solution for performance evaluation of shuttle-based storage and retrieval system. International Journal of Production Research, 55(21): 6516–6526

Yetkin Ekren B (2021). A multi-objective optimisation study for the design of an AVS/RS warehouse. International Journal of Production Research, 59(4): 1107–1126

Yetkin Ekren B, Akpunar A (2021). An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling, 89: 1678–1695

Yetkin Ekren B, Akpunar A, Sari Z, Lerher T (2018). A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling, 63: 109–127

Yoshitake H, Kamoshida R, Nagashima Y (2019). New automated guided vehicle system using real-time holonic scheduling for warehouse picking. IEEE Robotics and Automation Letters, 4(2): 1045–1052

Yu H, Yu Y (2019). Optimising two dwell point policies for AS/RSs with input and output point at opposite ends of the aisle. International Journal of Production Research, 57(21): 6615–6633

Yu M F, de Koster R B M (2009). The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research, 198(2): 480–490

Yu Y, de Koster R B M, Guo X (2015). Class-based storage with a finite number of items: Using more classes is not always better. Production and Operations Management, 24(8): 1235–1247

Yu Y G, Han X Y, Hu G P (2016). Optimal production for manufacturers considering consumer environmental awareness and green subsidies. International Journal of Production Economics, 182: 397–408

Yuan R, Graves S C, Cezik T (2019). Velocity-based storage assignment in semi-automated storage systems. Production and Operations Management, 28(2): 354–373

Yuan Z, Gong Y M (2017). Bot-in-time delivery for robotic mobile fulfillment systems. IEEE Transactions on Engineering Management, 64(1): 83–93

Zaerpour N, Yu Y G, de Koster R B M (2017a). Small is beautiful: A framework for evaluating and optimizing live-cube compact storage systems. Transportation Science, 51(1): 34–51

Zaerpour N, Yu Y G, de Koster R B M (2015). Storing fresh produce for fast retrieval in an automated compact cross-dock system. Production and Operations Management, 24(8): 1266–1284

Zaerpour N, Yu Y G, de Koster R B M (2017b). Optimal two-class-based storage in a live-cube compact storage system. IISE Transactions, 49(7): 653–668

Zaerpour N, Yu Y G, de Koster R B M (2017c). Response time analysis of a live-cube compact storage system with two storage classes. IISE Transactions, 49(5): 461–480

Zhang F, Shang W W, Zhang B, Cong S (2020). Design optimization of redundantly actuated cable-driven parallel robots for automated warehouse system. IEEE Access, 8: 56867–56879

Zhang Z, Guo Q, Chen J, Yuan P J (2018). Collision-free route planning for multiple AGVS in an automated warehouse based on collision classification. IEEE Access, 6: 26022–26035

Zhao X F, Zhang R X, Zhang N, Wang Y Y, Jin M Z, Mou S D (2020a). Analysis of the shuttle-based storage and retrieval system. IEEE Access, 8: 146154–146165

Zhao Y L, Liu X P, Wang G, Wu S B, Han S (2020b). Dynamic resource reservation based collision and deadlock prevention for multi-AGVs. IEEE Access, 8: 82120–82130

Zhong R Y, Huang G Q, Lan S L, Dai Q Y, Chen X, Zhang T (2015). A big data approach for logistics trajectory discovery from RFID-enabled production data. International Journal of Production Economics, 165: 260–272

Zhou W, Piramuthu S, Chu F, Chu C B (2017). RFID-enabled flexible warehousing. Decision Support Systems, 98: 99–112

Zou B P, de Koster R B M, Xu X H (2018a). Operating policies in robotic compact storage and retrieval systems. Transportation Science, 52(4): 788–811

Zou B P, Gong Y M, Xu X H, Yuan Z (2017). Assignment rules in robotic mobile fulfilment systems for online retailers. International Journal of Production Research, 55(20): 6175–6192

Zou B P, Xu X H, Gong Y M, de Koster R B M (2018b). Evaluating battery charging and swapping strategies in a robotic mobile fulfillment system. European Journal of Operational Research, 267(2): 733–753

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Zhen, L., Li, H. A literature review of smart warehouse operations management. Front. Eng. Manag. 9 , 31–55 (2022). https://doi.org/10.1007/s42524-021-0178-9

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Effectiveness and Efficiency

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It should be noted that warehouse management is a process that requires a considerate approach to handling commodities and orientation at work processes reduction. The basic criteria that are essential in any method of warehousing include the prevention of safety incidents, quality errors, and efficient and smart storing of items. More importantly, all the operations should be aimed at increasing the productivity and speeding up the shipping process. The purpose of this paper is to consider the particular ways of achieving efficiency and effectiveness in warehouse management.

Effective warehouse management assumes a clear and accurate accounting of the goods and the availability of reliable data on warehouse stocks. It can be achieved by means of a Lean approach to storing goods ( Behind the scenes of Amazon warehouse 2015). This approach assumes that it is necessary to identify those factors that lead to delays in work and cause large stocks ( Behind the scenes of Amazon warehouse 2015).

To apply this system, it is necessary to review the documents, tools, and commodities and remove all the unnecessary items. Then, it is useful to distribute the items in such a way that it will be convenient to work with them and maintain the same order constantly. In addition, it is essential to develop standards and work instructions that will help maintain the orderliness. The most important aspect is constant monitoring of the implementation of procedures in accordance with the sequence ( Behind the scenes of Amazon warehouse 2015).

Thus, the core of this approach lies within five phases, which are sorting, ordering, eliminating wastes, standardization, and continuous improvement. The effectiveness of this approach to warehouse management can be reflected in the fact that a quality and functional working environment is formed without unnecessary wastes that hinder the productivity and successful shipping.

Another approach to the effective management of warehousing is the Kanban system. With its help, it is possible to monitor all the stored products and commodities in the company ( FW Warehousing 2014). The aim of this management system is to store only the necessary items in the required quantity and at the right time. A card with the essential information (where the order came from and where it needs to be moved) should indicate each commodity ( FW Warehousing 2014). With this method, all processes become maximally efficient.

Efficiency is an important element of effective warehouse management. The Kanban system can be characterized by a considerable level of efficiency as space and time, as well as workforce, are used efficiently ( FW Warehousing 2014). It is important to make sure that items are stored efficiently, and no space is wasted. Specific structures and machinery can help the warehouse facilities to store lots of items.

Moreover, space should be used efficiently at different stages starting with accepting products and packing them and ending with the delivery to the shipment area. For example, the Kanban system is efficient as no extra motion is necessary as items are placed in areas that follow the flow of products. The items are accepted, then picked up by the corresponding employees who pack and transport them to the areas of storage and delivery. It is noteworthy that the use of codes and efficient information sharing system contributes to efficiency as there can be no errors or delays since all items’ flow is easily traced.

It is necessary to note that effective management is vital to the success of a warehouse as it ensures high key performance indicators. For instance, effective management results in a high level of productivity as space and time are used efficiently. It also leads to a significant decrease in safety incidents and quality errors as the areas are properly developed for different types of tasks. The number of accidents is minimal as the areas where machinery is utilized are quite isolated. Clearly, these results positively affect the overall performance of the warehouse. Items are not lost or damaged and can be traced easily at different stages.

Thus, it can be summarized that the concept of Lean and the Kanban system allow optimizing and standardizing the management of a warehouse. Both strategies tend to eliminate the redundant processes to speed up shipping. According to the first method, it is necessary to involve all employees to achieve coordinated work and in order to determine the processes that are unnecessary and interfere with successful management. The use of the second approach can assist in achieving measurable results and accelerating all processes in the warehouse. With the help of Kanban system, the company will be able to use the warehousing space more functionally, reduce the required inventory, and improve employee productivity.

Behind the scenes of Amazon warehouse . 2015. online video, Fox 13 News, Tampa. Web.

FW Warehousing: The Kanban system explained . 2014, online video, FW Warehousing, Kansas City. Web.

Lean Management Systems: Just-In-Time Inventory
Operations Management Case Study: Toyota
Toyota Company Positive Sides and Analysis
Enterprise Systems in the Business Environment
Is Process Improvement the Ultimate Solution?
Just-in-Time Techniques, Their Upsides and Downsides
Time Management: Getting Things Done
Walmart Inc.'s Project-Based Operational Plan
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Strategic Warehouse Management, Essay Example

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Introduction

Possessing a reliable warehousing and distribution strategy is crucial for an organization’s success in today’s global environment (Ackerman, 2007). Strategic warehouse management, Inc. company seeks to design, develop, manage, and implement a preliminary plan for a non-resident company. The company has identified marketing opportunities in Australia; consequently, the company needs to exploit the new market through the non-resident company. This paper explores the logistic needs of establishing a non-resident company before the commencement of operations. The paper explores management issues related with setting up of new warehouses (Inmon, Strauss, & Neushloss, 2008)

The paper provides a preliminary development plan which entails submitting warehouse operations in any city situated in Australia. The report also strives to explore key strategic warehouse management implications like design of the management structure of the warehouse, workforce implications, analyze fundamental regulations and other management implications, amongst other strategic warehouse management issues.

Supply chain

Ackerman (2007) argues that strategic warehouse management present practices aimed at maintaining a healthy inventory level as well as lowering logistics costs. Strategic warehouse management presents a management tool designed to protect an organization against conventional changes in warehouse requirements. Strategic warehouse management commences with an effective supply chain design (Ackerman, 2007). A supply chain refers to a network established amongst distinct companies producing, managing, and/ or distributing a specific product. This report is interested in presenting the steps required to get a service or good from the supplier to the customers (from USA to Australia and vice versa). Supply chains are a crucial strategy for many organizations, as such, this report strives to design the most optimized supply chain with the aim of managing operational costs. The Chief Executive Officer (CEO) of Strategic Warehouse Management, Inc. (SWM) is determined to extend their operations in Australia. The company’s marketing team has identified untapped marketing opportunities in Australia and seeks to maximize on the opportunity (Inmon, Strauss, & Neushloss, 2008)

The proposed new branch is a non-resident Company and can be opened in any city in Australia. The new business will offer warehouse services for a variety of businesses situated in Australia. Firstly, this report proposes that any organization or dealers interested in contacting the services of Strategic Warehouse Management, Inc. should be incorporated into the supply chain (Ackerman, 2007). The supply chain should be deployed in ways that augment shareholder value and profitability. The marketing team of Strategic Marketing, Inc. should consider sourcing techniques result to the best financial performance. The preliminary plan should specify the optimal number of plants, distribution centers, and available warehouses to maximize long-term gains (Prabhu, 2011).

Warehouse Design Requirements

Prabhu (2011) continues by stating that data warehousing is one of the powerful tools available to sustain a business enterprise. In present day most of businesses employ warehouse based programs in the designing and executing of data in warehouse database. The process of designing a good warehouse is exhaustive and detail laden. A good design process is one that focuses on location and design. An ample preliminary warehouse design should be managed and sustained by specialized individuals who are also team members. Selecting a location presents the initial step of designing a warehouse. The selection process should realize that the facility’s location performs the function of getting a company close to its clients (Prabhu, 2011). The main performance issue for a warehouse is lead time. This is because the society is marred by high levels of impatience, as such; warehouses should strive to eliminate delay constraints. Strategic Warehouse Management, Inc. should decide whether they require that the non-resident company should be a stand-alone warehouse to cater for nationwide demands. Alternatively, the organization should also consider whether the non-resident company will complement an existing association with another facility or an alternative for another facility (Prabhu, 2011).

Hawkins and Humphries (2009) suggest that the course of designing the warehouse, Strategic Warehouse Management should understand the culture and preferences of Australia clients. Moreover, the multiple enterprise implications call for an extended research into the nature and form of each business that require the warehouse service. A crucial consideration is whether the clients require high availability needs or short lead times. The distance of the warehouse to the clients is also an essential consideration, as it determines consumer choice (Ackerman, 2007).

Organization Structure

Before implementing a warehouse design, it is crucial to define the structure of the warehouse and depict it in the management system for successful establishment. The initial step involves definition of individual warehouses, for instance high rank storage, picking area, block storage, and sundry (Prabhu, 2011). Classification of the various storage types is important, as well as grouping. The warehouse number is essential as it helps define various storage locations for a particular plant.

An organization structure illustrates the scope of business operations performance measurements. It also offers the platform for measuring, analyzing, and controlling activities in a warehouse. The operations in a warehouse entail receiving input from suppliers and extending the same to its clients. As such achieving excellence in a warehouse is an ongoing process and is achieved through continuous improvements (Ackerman, 2007). Management implications in a warehouse should be concerned with inventory accuracy, productivity, storage occupancy, and customer service.

Workforce management

Superior service is often the distinguishing element in market growth and customer retention. The business venture that has opened up for Strategic Warehouse Management, Inc. is complex as it involves numerous business enterprises. Consequently the warehouse in question ought to be extremely huge and requires a big workforce. The complexity of the nature of business service required also calls for high specialization and division of labor with respect to the workforce. The employees contracted should be competitive enough to contribute effectively and efficiently to the organization’s financial and service goals. The organizations’ executive should also aim at developing a workforce that undertakes performance reporting and optimize labor planning with the aim of driving revenues higher.

Mobility is another critical consideration for workforce requirements while constructing a warehouse design. Designing a convenient solution for the workforce can be a daunting task. A portable workforce has the right experience and sufficient knowledge on the industry. Moreover, management of the workforce should be swift and efficient and should aim at reducing workloads and employee inefficiencies (Ackerman, 2007).

A non-resident company implies that Strategic Warehouse Management, Inc. Company seeks to maintain the control of the warehouse (located in Australia) in the United States. As such, the company should develop strategic plans aimed at promoting efficiency in collaborative ventures with the entire supply chain of the company based in Australia. The company should also strive to ensure that their Australian clients; with interests in exploring the United States markets, are assisted in their quest. The company can achieve this through maintaining a constant supply chain cost, and offering their clients an analytic paradigm for the improvement and success of their ventures (Ackerman, 2007). The company should develop a strategy that will sustain efficiency in operations and see to it that products get to the distributors and customers at a minimal cost. Strategic warehousing should strive to offer their Australian clients a business foundation for their stock and inventory so that they, in part, focus on sales and marketing.

Import procedures

The United States import and export procedures are stringent but business friendly. Import and export rules and regulations are designed to protect consumers against exploitation and harmful products. Under the provisions of the United States law included in the United States Federal Food, Drug and Cosmetic Act, importers of various products are obligated to ensure that the products are sanitary, safe, and labeled with respect to United States requirements.

Products imported into the United States; especially, food substances, are considered to be interstate commerce. However food importers are highly advised that Food and Drug Administration (FDA) is not authorized by law to approve, license, certify, or otherwise sanction single food importers. The importers are allowed to import food substances into the United States without prior consent by Food and Drug Administration. This holds as long as the facilities, which produce, store, or handle food products are registered with the body. A prior indication of incoming shipment is offered to Food and Drug Administration.

Australian Imports

Companies and individuals with interests in bringing their goods and services into the United States for sale should employ the services of Strategic Warehouse Management, Inc. Company. The company specializes in the construction, as well as the integration of all functions and services across the supply chain. In addition, the physical location of the company will aid in monitoring clients’ products across the United States market. The company will also assist the Australian import class acquire worldwide logistics for novel solutions that aid in planning business strategies, accelerate order times, enhance customer service, as well as tighten the control of the supply chain .

This report established that all importers are required to adhere to United States import procedures and the requirements of Prior Notice. Companies shipping products to the United States, at some instances, may find their shipments subject to “Detention Without Physical Examination” by United States import authorities. Importers are strongly advised to maintain their patience as the products are held at the port of entry. This gives import authorities ample time to carry out additional scrutiny, analysis, and testing. The delays arising from detention without physical scrutiny could be lengthy to businesses suffering the loss of time. Furthermore, the delays could lead to poor delivery schedules. In such instances, importers are strongly advised to always seek assistance from import authorities to prevent further loss of business opportunities.

Export Implications

Exporters from the United States should contact the customs and Border Protection Organization (CBP). The body addresses all export concerns of business people and offer export guidance. Export rules vary with country of trade (Prabhu, 2011). For instance, there is no general licensing for exporting to the United Kingdom or some European Union countries. Exported food products should; however, bear general requirements which include special invoice declarations, special labeling requirements, and Certificate of Origin. The Certificate of Origin is mostly required for products containing animal byproducts.

Supply Chain Risks

Risks are a fraction of life and are evident in every business activity. Warehouse owners indulge in risks because of the potential reward associated with the risky venture. Most of the decisions in supply chain management are highly risky (Hawkins and Humphries, 2009). Nevertheless, strategic warehouse management companies always strive to ensure that they adopt effective strategies meant to prevent, reduce, or even eliminate the risk. Uncontrolled risk can be detrimental to the success of the supply chain of Strategic Warehouse management, Inc. company. Supply chain risk management is about identifying risks and mitigating operations against natural disasters and other events.

Some of the major risks associated with supply chain management include routine fluctuations in demand and supply (Hawkins and Humphries, 2009). In addition, mishandling daily fluctuations could present severe implications to the warehouse as the changes accumulate (Prabhu, 2011). Consequently, the phenomenon could result to obsolete and excess inventory, as well as poor customer service if fluctuations are not professionally managed. Other risk implications include rapid growth of the inventory, counterfeit and contaminated goods, changes to IT systems, and changes to the supplier base.

Possible Mitigation

The initial step in mitigating risks to chain supplies is the determination of the most hazardous risks to the business. This report recommends that Strategic Warehouse Management should, in their risk mitigation exercise, identify their most reliable suppliers, as well as major clients. This exercise ensures that the most lucrative revenue source is identified for possible risk mitigation procedures (Hawkins and Humphries, 2009). After prioritization of the supply base with respect to revenue contribution, risk elements which apply to every supplier should be analyzed. The order of assessment should reflect the importance in terms of revenue contribution to the warehouse.

Strategic Warehouse Management, Inc. should outsource the services of actuaries for possible risk identification and mitigation exercises (Hawkins and Humphries, 2009). The company should consult the services of actuarial scientists to help them manage possible risk scenarios likely to be encountered by the non-resident company in Australia. The research experts will help the company handle supply chain risks which come in many forms. The research experts will mostly come in handy in helping the company deal with external risk factors like regulatory, political, environmental, and others. The initial stages of a venture are crucial as they determine future growth and development implications of the venture. Contracting actuaries situated in Australia will work a great deal in putting up a successful start for Strategic Warehouse Management, Inc.

Direct Management

As time moves on, risk factors will change, as well as mitigation strategies. As such, the management of Strategic Warehouse Management, Inc. should align themselves to the recommendations forwarded by the Australian actuaries (Hawkins and Humphries, 2009). An Australian actuarial firm is highly recommended as the firm is located in SWM’s domain of interest. The management of the firm should maintain the strategic plan developed during the initial stages of the non-resident company. The management should strive to manage the warehouse alongside the organization’s principles. A transformational leadership is prerequisite to establish a good organizational culture for the company. Adhering to import, export, and non-resident company rules and regulations should form top priority in the organization’s agenda.

Budget Line Items

Budget line items that need to be considered in Strategic Warehouse Management’s preliminary plan include fixed and variable cost items (Hawkins and Humphries, 2009). Most of the items in the budget line represent operational tools designed to enhance the efficiency of the warehouse. These include salaries of employees, benefits, taxes, and allowances, expenses for space and utilities (rent), communication and postage expenses, consultant/ contractual expenses, and sundry.

This report recommends that the sales levels attained and the trends in inventory should form as the basis for measuring the success of the non-resident company in Australia. An effective warehouse is determined by the flow of goods in and out of the warehouse during operations (Prabhu, 2011). The magnitude of operations per given time should be determined, for consecutive periods. The general trend in the operations (sales and inventory) should be used to dictate the success of the non-resident warehouse located in Australia.

Hawkins and Humphries (2009) recommend that Australian business people should set an effective collaborative venture with Strategic Warehouse Management, Inc. Company. Collaboration will help them realize high sales volume in the United States market, as well as cement their economic influence in the region (Prabhu, 2011). On the other hand, Strategic Warehouse Management Company should adhere to tax and registration requirements of Australia for a successful take-off (Prabhu, 2011).

The company will facilitate the order of supplies across the supply chain, thereby facilitating the development of Australian brands in the United States.

Prabhu, S., & Venkatecan, N. (2007). Data mining and warehousing . New Delhi: New Age International (P) Ltd., Publishers.

Ackerman, K. B. (2007). Practical Handbook of Warehousing . Boston: Kluwer.

Prabhu, C. S. R. (2011). Data warehousing: Concepts, techniques, products and applications . New Delhi: PHI Learning.

Inmon, W. H., Strauss, D., & Neushloss, G. (2008). DW 2.0: The Architecture for the Next Generation of Data Warehousing . Burlington: Elsevier. Data Warehousing Fundamentals for It Professionals . (2011). S.l.: John Wiley & Sons.

Humphries, M., & Hawkins M. C. (2009). Data warehousing: Architecture and implementation . Upper Saddle River, NJ: Prentice Hall PTR.

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Watch: Key Requirements for Choosing a Warehouse Management System

Choosing a warehouse management system most likely involves turning from home-grown IT to an expert external vendor, streamlining legacy technology, and expanding the business portfolio, says Sean Moore, chief information officer with CJ Logistics Americas .

Many warehouse operators are currently looking to upgrade and replace their legacy warehouse management technology, or seeking a WMS that will accommodate expanding business opportunities. That means an opportunity to explore systems that operate in the cloud, and to opt for upgraded security as well, Moore says.

“There’s definitely multiple industries and customers out there that are using legacy technology, whether it’s AS/400 or mainframe,” says Moore. Those technologies, he adds, are becoming somewhat obsolete, and it’s often a stretch to find the resources and technical know-how to support them internally – what Moore refers to as “technical debt.” That makes it all the more urgent to consider finding a new system.

Moving away from homegrown WMS and turning instead to a third-party vendor means better, more frequent software updates. There are also advantages in terms of scalability and getting expert technical support.

Moore says the expanding need for cold chain warehousing, as more and more U.S. foods are frozen, brings with it an increased need to monitor and track goods as they pass through a warehouse. Post COVID-19, third-party logistics providers are finding their customers are seeking assurances that their service providers have good security protocols, and that means having software with high security standards, such as Systems and Organization Controls 2 (SOC 2).

“What we find is that many companies internally struggle with trying to get that certification with their existing software,” Moore says. “So one of our critical requirements was looking for a vendor that had more security certifications and industry expertise.”

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Chapter 1 Introduction Warehouse Management System website is useful for the suppliers and the retailers to view their orders and details of the stocks easily without much paper work. It provides the facility to order new stocks and update the details of the new arrivals of the products for the customers. 1.1 Preamble This project is very helpful for suppliers as they can give the orders to the retailers easily and the details will be stored. The retailers can assign the rates of the products directly through the website and need not go to the store every now and then. 1.2 Motivation The warehouse Management system is very useful as the details of all the products and the orders will be updated and will not have paper works. When new products arrive it will be updated in the database. All the details about the products can be obtained without any difficulty. 1.3 Goal and Objectives of the Project Report • To develop general purpose tool to maintain stock and order details and customers can easily view the products via online. • This project intends to introduce more user friendliness in the various activities such as stock updating, maintenance, and searching. • Accepting user details and updating details about the users and the stocks. • Easy to order the stocks/products. • Authentication of administrative users is done using proper user name and password. So that other users cannot retrieve administrative data. 1.4 Problem Statement • In an existing System, all process are Handled manually. The admin should refer all the records kept for years ago to simply know the details. This is time consuming. • This process is very difficult when the number of users increases. There are many limitations for the existing systems. In manual system all the work is done by human intervention due to which there are maximum chances of errors. • Suppliers had to visit again and again to know about the order details and when the products will be completed and delivered. • The files were not stored in hierarchical format. Hence searching was big problem. Due to this the updating was difficult. This leads to duplication of records. 1.5 Scope of the Dissertation Report As the growing demands and heterogeneity of applications are continuously challenging the architectural aspects of the Internet, it becomes necessary to devise an architecture which is flexible in terms of any modification or update of applications or protocols. • No data duplication • No Paper Work Required • Time Efficient • Cost Efficient • Automatic data validation • User friendly environment • Data security and reliability • Fast data insertion & retrieval • Easy performance check • Format report generation 1.6 Outline of Dissertation Report The Project Report is encompassed with six chapters in total and it is organized as follows: Chapter – 1: Introduction: It gives the details about the research work and the scope and objective of the project report. It also gives the information about the overview of the project report starting with the project explanation such as the introduction. It also briefs the feelings of the authors. Chapter – 2: Literature Survey: Determine the relevant background information such as the Internet design goals & principles, initiative towards the OSI reference model, architectural principles, a critical review of Internet dealing with its limitations and issues, future research approaches, and finally the need of net- work architecture. Chapter-3: Requirement Analysis: The main goal of the requirements phase is to produce the software requirements specification(SRS), which accurately captures the client’s requirement and forms the basis of the software development and validation. The main basic activity in the requirements phase is requirement analysis. Chapter -4: System Design: Deciding which module are needed for the system, the specification of these module should be interconnected is called “SYSTEM DESIGN”. System design is also called Top Level design. The design of a system is a plan for solution for the system here we consider a system to be set of components with clearly defined behavior that interact with each in a fixed manner to produce some behavior. Chapter-5:Implementation: Implementation forms an important phase in the system development life cycle. It is a stage of the project work that transforms the design into a work module. Chapter-6: Testing: Testing can be stated as the process of validating and verifying that a software program/application is behaving just as expected during the designing phase. Track the errors to understand their causes and any patterns that may exist. Chapter 2 Literature Survey Literature survey is a text of a scholarly paper, which includes the current knowledge including substantive findings, as well as theoretical and methodological contributions to a particular topic. Literature survey use secondary sources and do not report new or original experimental work. During literature survey, we found the information about the warehouse management system that the products in the system will be very easy to find out if it is categorized. Hence categorization of the products will be easier for the customers to find the required products. Advantages: • New information about the proposed system • Techniques used for user interactions • How the users wish to have the proposed system and its functionality Disadvantages: • Lengthy Modules • User accessibility • User security Literature Survey if very important as the users will be using the system and they will be using the system only if they are happy with the way the system is developed. Hence taking the information from the survey has become mandatory. It will also be helpful if we get to know the ideas how the users wish to have the system developed and the interface they wish to use. Chapter 3 Hardware and software Requirements 3.1 Requirement Analysis Software Requirement Specification is a technical specification of requirements for the software products. SRS represents an overview of products, features and summarizes the processing environment for development operation and maintenance of the product. Software Requirement Specification completely describes what the proposed software is supposed to do, without explaining what it actually does. It contains all the basic requirements that are needed for the development of the software. The main purpose for preparing this document is to give a general insight into the analysis and requirements of the existing system or situation and for determining the operating characteristics of the system. An SRS provides a reference for validation of the final product. The Warehouse Management System is useful for all the suppliers who wish to view the products online and give orders of the stocks quickly and in a easy way. It helps to keep the details of the records and can be viewed even after many years. It will be updated easily without any problem. 3.1.1 Software Requirement Specification • Windows 7 Ultimate, Windows 8 • Browser Software like Microsoft Internet Explorer 4.0 or later. • Visual Studio 2010 or later • .Net as front end. • SQL Server 2005 and above 3.1.2 Hardware Requirement Specification • 256 MB of RAM or more. • 2GB of hard disk space. • VGA or higher monitor resolution. • Mouse or other pointing devices. • Network interface card or Modem. • LAN Network. • Processor Intel core i3 and above. • Communication Devices such as Wi-Fi. Chapter 4 System Design Architecture Deciding which module are needed for the system, the specification of these module should be interconnected is called “SYSTEM DESIGN”. System design is also called Top Level design. The design of a system is a plan for solution for the system here we consider a system to be set of components with clearly defined behavior that interact with each in a fixed manner to produce some behavior. 4.1 E-R Diagram An ER model is an abstract way to describe a database. Describing a database usually starts with a relational database, which stores data in tables. Diagrams created to design these entities and relationships are called entity–relationship diagrams or ER diagrams. E-R diagram depicts the various relationships among entities, considering each object as entity.Peter Chen developed ERDs in 1976. 4.2.1 Entity-Relationship Diagram Notation: Entity: An entity is an object or concept about which you want to store information. Weak Entity: A weak entity is an entity that must defined by a foreign key relationship with another entity as it cannot be uniquely identified by its own attributes alone. Key attribute:A key attribute is the unique, distinguishing characteristic of the entity. For example, an employee’s social security number might be the employee’s key attribute. Figure 4.1:E-R Diagram 4.2 Data Flow Diagram A data flow diagram (DFD) is a graphical representation of the “flow” of data through an information system, modelling its process aspects. Often they are a preliminary step used to create an overview of the system which can later be elaborated. DFDs can also be used for the visualization of data processing (structured design). A DFD shows what kinds of information will be input to and output from the system, where the data will come from and go to, and where the data will be stored. It does not show information about the timing of processes, or information about whether processes will operate in sequence or in parallel. 4.2.1 Description of the Documents The notations used in the diagram are: Process: A process transforms incoming data flow into outgoing data flow. Data Store: Data stores are repositories of data in the system. They are sometimes also referred to as files. External Entity: External entities are objects outside the system, with which the system Communicates. External entities are sources and destinations of the system’s inputs and outputs. Dataflow: Dataflow are pipelines through which packets of information flow. Label the arrows with the name of the data that moves through it . Level 0: Fig 4.2:DFD Level 0 Level 1: Fig 4.3: DFD Level 1 Level 2 User: Fig 4.4:DFD Level 2 User Level 2 Admin: Fig 4.5: Level 2 DFD of Admin 4.3 Class Diagram Fig 4.6: Class Diagram 4.4 Sequence Diagram Fig 4.7: Sequence Diagram 4.5 UseCase Diagram Fig4.8: UseCase for Admin Fig4.9: UseCase for User Fig4.10: UseCase for Retailers/suppliers Chapter 5 Implementation 5.1 Home Page 5.2 Registration Page 5.3 Login Page 5.4 Admin Page: 5.5 User Details 5.6Order Details 5.7 Customer Page: 5.8 Supplier Page: 5.9 Retailer Page: Chapter 6 Testing Software testing is the process of executing a program or system with the intent of finding errors. Software testing is any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results. Although crucial to software quality and widely deployed by programmers and testers, software testing is still an art, due to limited understanding of the principles of software. Testing is more than just debugging. The purpose of testing can be quality assurance, verification and validation or reliability estimation. Testing can be used as a generic metric as well. Correctness testing and reliability testing are two major areas of testing. 6.1 Testing approach Testing is the penultimate step of software development. While testing is done, errors are noted and correction is made. Both hardware and software securities are made to run the developed system successfully. System testing is aimed at ensuring the system works accurately before the live operation commences. Testing is vital to the system. System testing makes a logical assumption that if all parts of the system are correct, the goal will be successfully achieved. A series of testing are performed for the proposed system before the system is ready for user acceptance testing. Normally, testing of any large systems will be in two parts: The functional verification and validation against the indicated requirements. Testing activity is involved right from the beginning of the project. Characteristics of a Good test: • Tests are likely to catch bugs • No redundancy • Not too simple or too complex 6.2 System Testing When a system is developed, it is hoped that it performs properly. The main purpose of testing and information system is to find the errors and correct them. The main objectives of system testing are: • To ensure during operation the system will perform as per specification. • To make sure that the system meets user’s requirements during operation. • To verify that the controls incorporated in the system function as intended. • To see that when correct inputs are fed to the system the outputs are correct. • To make sure that during operation incorrect input and output will be deleted. System testing is the process of checking if the developed system is working according to the original objectives and requirements. 6.3 Types of testing Clearly, the success of testing is revealing errors in programs depend critically on the test cases. The two basic approaches are: • Black box or Functional testing • White box or Structural testing 6.3.1 Black box or Functional testing A software testing technique whereby the internal workings of the item being tested are not known by the tester. The tester does not ever examine the programming code and does not need any further knowledge of the program other than its specifications. 6.3.2 White box or Structural testing White box testing includes analyzing data flow, control flow, information flow, coding practices and exception and error handling within the system to test the intended and unintended software behavior. 6.4 Test Cases 6.4.1 Change Password: Sl No Testing Condition Expected Result Test Result 1 If emailid is not entered Message box appears telling users to enter their emailid Success 2 If password and confirm password is not matching Message box appears telling users that password doesnot match Success 3 If usertype is not selected Message box appears telling users to select the usertype Success Table6.1: Change Password Test case 6.4.2 Login: Sl No Testing condition Expected Results Test Result 1 If the emailid and password is left blank Message box appears asking users to enter emailid and password Success 2 If emailid is typed wrong Message box appears telling users its invalid emailid Success 3 If password is typed wrong Message box appears telling users its invalid password Success 4 If user type is not selected Message box appears asking users to select user type Success Table 6.2: Login Test Case 6.4.3 Register Page : Sl No Testing Condition Expected Result Test Result 1 If user name is already available Message box appears telling users to select different username Success 2 If emailid is already available Message box appears telling users to select different emailid Success 3 If emailid and username are not available already Message box appears telling users to continue with their procedure Success 4 If usertype, country, state are not selected Message box appears telling users to select usertype, country and state Success 5 If phone number is not entered correctly Message box appears telling users to give valid phone number Success Table 6.3: Register Test Case 7. Conclusion: • Warehouse management system is developed successfully and has been tested successfully. • This web based application can be used by the people without any problem and has user friendly interface. • All the testing and validation has been successfully carried out. Using the proposed system: • Efficiency is improved • Storage and maintenance of database is easy • Paper work is reduced. 8. Future Enhancement: • New modules can be added without affecting the existing model. • The existing modules can be reused in future projects. • Can be upgraded to include various products in which various categories will be included. • Can be moved our vision through National Level. • This Project can be extended with regional language support. • If any user forgets the password, the new password will be sent to their registered email accounts. • The delivery of the product will be reaching the customer within very short period of time. • Every kind of products such as food, accessories etc will be available in our website in very short period of time.

Bibliography:

[1] McGraw Bart De Smet: C# 4.0 Unleashed, Pearson Education- SAMS Series [2] Hebert Shildt: Programming in C# 4.0, Tata Hill [3]An Integrated Approach to Software Engineering by PankajJalote. [4] ASP.NET reference- MSDN- microsoft [5] Professional ASP.NET books in c# [6] Software Testing : A practical approach

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