quality tools presentation

What are the 7 basic quality tools, and how can they change your business for the better?

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What are the 7 basic quality tools?

• Stratification
• Check sheet (tally sheet)
• Cause and effect diagram (fishbone or Ishikawa diagram)
• Pareto chart (80-20 rule)
• Scatter diagram
• Control chart (Shewhart chart)

The ability to identify and resolve quality-related issues quickly and efficiently is essential to anyone working in quality assurance or process improvement. But statistical quality control can quickly get complex and unwieldy for the average person, making training and quality assurance more difficult to scale. 

Thankfully, engineers have discovered that most quality control problems can be solved by following a few key fundamentals. These fundamentals are called the seven basic tools of quality. 

With these basic quality tools in your arsenal, you can easily manage the quality of your product or process, no matter what industry you serve.

Learn about these quality management tools and find templates to start using them quickly.

Where did the quality tools originate?

Kaoru Ishikawa, a Japanese professor of engineering, originally developed the seven quality tools (sometimes called the 7 QC tools) in the 1950s to help workers of various technical backgrounds implement effective quality control measures.

At the time, training programs in statistical quality control were complex and intimidating to workers with non-technical backgrounds. This made it difficult to standardize effective quality control across operations. Companies found that simplifying the training to user-friendly fundamentals—or seven quality tools—ensured better performance at scale

7 quality tools

1. stratification.

Stratification analysis is a quality assurance tool used to sort data, objects, and people into separate and distinct groups. Separating your data using stratification can help you determine its meaning, revealing patterns that might not otherwise be visible when it’s been lumped together. 

Whether you’re looking at equipment, products, shifts, materials, or even days of the week, stratification analysis lets you make sense of your data before, during, and after its collection.

To get the most out of the stratification process, consider which information about your data’s sources may affect the end results of your data analysis. Make sure to set up your data collection so that that information is included. 

2. Histogram

Quality professionals are often tasked with analyzing and interpreting the behavior of different groups of data in an effort to manage quality. This is where quality control tools like the histogram come into play. 

The histogram represents frequency distribution of data clearly and concisely amongst different groups of a sample, allowing you to quickly and easily identify areas of improvement within your processes. With a structure similar to a bar graph, each bar within a histogram represents a group, while the height of the bar represents the frequency of data within that group. 

Histograms are particularly helpful when breaking down the frequency of your data into categories such as age, days of the week, physical measurements, or any other category that can be listed in chronological or numerical order. 

3. Check sheet (or tally sheet)

Check sheets can be used to collect quantitative or qualitative data. When used to collect quantitative data, they can be called a tally sheet. A check sheet collects data in the form of check or tally marks that indicate how many times a particular value has occurred, allowing you to quickly zero in on defects or errors within your process or product, defect patterns, and even causes of specific defects.

With its simple setup and easy-to-read graphics, check sheets make it easy to record preliminary frequency distribution data when measuring out processes. This particular graphic can be used as a preliminary data collection tool when creating histograms, bar graphs, and other quality tools.

4. Cause-and-effect diagram (also known as a fishbone or Ishikawa diagram)

Introduced by Kaoru Ishikawa, the fishbone diagram helps users identify the various factors (or causes) leading to an effect, usually depicted as a problem to be solved. Named for its resemblance to a fishbone, this quality management tool works by defining a quality-related problem on the right-hand side of the diagram, with individual root causes and sub-causes branching off to its left.   

A fishbone diagram’s causes and subcauses are usually grouped into six main groups, including measurements, materials, personnel, environment, methods, and machines. These categories can help you identify the probable source of your problem while keeping your diagram structured and orderly.

5. Pareto chart (80-20 rule)

As a quality control tool, the Pareto chart operates according to the 80-20 rule. This rule assumes that in any process, 80% of a process’s or system’s problems are caused by 20% of major factors, often referred to as the “vital few.” The remaining 20% of problems are caused by 80% of minor factors. 

A combination of a bar and line graph, the Pareto chart depicts individual values in descending order using bars, while the cumulative total is represented by the line.

The goal of the Pareto chart is to highlight the relative importance of a variety of parameters, allowing you to identify and focus your efforts on the factors with the biggest impact on a specific part of a process or system. 

6. Scatter diagram

Out of the seven quality tools, the scatter diagram is most useful in depicting the relationship between two variables, which is ideal for quality assurance professionals trying to identify cause and effect relationships. 

With dependent values on the diagram’s Y-axis and independent values on the X-axis, each dot represents a common intersection point. When joined, these dots can highlight the relationship between the two variables. The stronger the correlation in your diagram, the stronger the relationship between variables.

Scatter diagrams can prove useful as a quality control tool when used to define relationships between quality defects and possible causes such as environment, activity, personnel, and other variables. Once the relationship between a particular defect and its cause has been established, you can implement focused solutions with (hopefully) better outcomes.

 7. Control chart (also called a Shewhart chart)

Named after Walter A. Shewhart, this quality improvement tool can help quality assurance professionals determine whether or not a process is stable and predictable, making it easy for you to identify factors that might lead to variations or defects. 

Control charts use a central line to depict an average or mean, as well as an upper and lower line to depict upper and lower control limits based on historical data. By comparing historical data to data collected from your current process, you can determine whether your current process is controlled or affected by specific variations.

Using a control chart can save your organization time and money by predicting process performance, particularly in terms of what your customer or organization expects in your final product.

Bonus: Flowcharts

Some sources will swap out stratification to instead include flowcharts as one of the seven basic QC tools. Flowcharts are most commonly used to document organizational structures and process flows, making them ideal for identifying bottlenecks and unnecessary steps within your process or system. 

Mapping out your current process can help you to more effectively pinpoint which activities are completed when and by whom, how processes flow from one department or task to another, and which steps can be eliminated to streamline your process. 

Learn how to create a process improvement plan in seven steps.

Lucidchart, a cloud-based intelligent diagramming application, is a core component of Lucid Software's Visual Collaboration Suite. This intuitive, cloud-based solution empowers teams to collaborate in real-time to build flowcharts, mockups, UML diagrams, customer journey maps, and more. Lucidchart propels teams forward to build the future faster. Lucid is proud to serve top businesses around the world, including customers such as Google, GE, and NBC Universal, and 99% of the Fortune 500. Lucid partners with industry leaders, including Google, Atlassian, and Microsoft. Since its founding, Lucid has received numerous awards for its products, business, and workplace culture. For more information, visit lucidchart.com.

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7 Basic Tools of Quality for Process Improvement

Japan is known worldwide for its quality products and services. One of the many reasons for this is its excellent quality management. How did it become so? Japan has Dr. Kaoru Ishikawa to thank for that.

Postwar Japan underwent a major quality revolution. Companies were focused on training their employees in statistical quality control. But soon they realized that the complexity of the subject itself could intimidate most of the workers; so they wanted more basic tools.

Dr. Kaoru Ishikawa, a member of the Japanese Union of Scientists and Engineers (JUSE), took it to his hands to make quality control easier for everyone – even those with little knowledge of statistics – to understand. He introduced the 7 basic tools of quality. They were soon adopted by most companies and became the foundation of Japan’s astonishing industrial resurgence after World War 2.

This post will describe the 7 basic quality tools, how to use them and give you access to templates that you can use right away.

Quality Tools: What Are They?

How can teams and organizations use the 7 basic quality tools, cause and effect diagram, scatter diagram, check sheets.

• Control chart
• Pareto chart

The 7 basic tools of quality, sometimes also referred to as 7 QC tools – represent a fixed set of graphical tools used for troubleshooting issues that are related to quality.

They are called basic quality tools because they can be easily learned by anyone even without any formal training in statistics. Dr. Kaoru Ishikawa played the leading role in the development and advocacy of using the 7 quality tools in organizations for problem-solving and process improvement.  

The 7 basic quality tools include;

• Cause-and-effect diagram
• Scatter diagram
• Check sheet

The 7 quality tools were first emphasized by Kaoru Ishikawa a professor of engineering at the University of Tokyo, who is also known as the father of “Quality Circles” for the role he played in launching Japan’s quality movement in the 1960s. During this time, companies were focused on training their employees in statistical quality control realized that the complexity of the subject could intimidate most of the workers; hence they opted for simpler methods that are easy to learn and use. 7 basic tools of quality were thus incorporated company-wide.

Quality tools are used to collect data, analyze data, identify root causes, and measure results in problem-solving and process improvement. The use of these tools helps people involved easily generate new ideas, solve problems, and do proper planning.

• Structured approach: They provide a systematic approach to problem-solving and process improvement, ensuring that efforts are well-organized and focused.
• Data-driven decision making: The tools enable data collection, analysis, and visualization, empowering teams to make informed decisions based on evidence.
• Improved communication and collaboration: Visual representations and structured tools facilitate effective communication and collaboration among team members, leading to shared understanding and alignment.
• Problem identification and prioritization: The tools help identify and prioritize problems or improvement opportunities, enabling teams to allocate resources efficiently and address critical issues first.
• Continuous improvement: By using these tools, teams can establish a culture of continuous improvement, as they provide a framework for ongoing monitoring, analysis, and refinement of processes.

7 Basic Quality Tools Explained with Templates

The 7 quality tools can be applied across any industry.  They help teams and individuals analyze and interpret the data they gather and derive maximum information from it.

Flowcharts are perhaps the most popular out of the 7 quality tools. This tool is used to visualize the sequence of steps in a process, event, workflow, system, etc. In addition to showing the process as a whole, a flowchart also highlights the relationship between steps and the process boundaries (start and end).

Flowcharts use a standard set of symbols, and it’s important to standardize the use of these symbols so anyone can understand and use them easily. Here’s a roundup of all the key flowchart symbols .

• To build a common understanding of a process.
• To analyze processes and discover areas of issues, inefficiencies, blockers, etc.
• To standardize processes by leading everyone to follow the same steps.

Real-world examples of usage

• Documenting and analyzing the steps involved in a customer order fulfillment process.
• Mapping out the workflow of a software development lifecycle.
• Visualizing the process flow of patient admissions in a hospital.

Enhances process understanding, highlights bottlenecks or inefficiencies, and supports process optimization and standardization efforts.

How to use a flowchart

• Gather a team of employees involved in carrying out the process for analyzing it.
• List down the steps involved in the process from its start to end.
• If you are using an online tool like Creately , you can first write down the process steps and rearrange them later on the canvas as you identify the flow.
• Identify the sequence of steps; when representing the flow with your flowchart, show it from left to write or from top to bottom.
• Connect the shapes with arrows to indicate the flow.

Who can use it?

• Process improvement teams mapping and documenting existing processes for analysis.
• Business analysts or consultants analyzing workflow and process optimization opportunities.
• Software developers or system designers documenting the flow of information or interactions in a system.

To learn more about flowcharts, refer to our Ultimate Flowchart Tutorial .

A histogram is a type of bar chart that visualizes the distribution of numerical data. It groups numbers into ranges and the height of the bar indicates how many fall into each range.

It’s a powerful quality planning and control tool that helps you understand preventive and corrective actions.

• To easily interpret a large amount of data and identify patterns.
• To make predictions of process performance.
• To identify the different causes of a quality problem.
• Analyzing the distribution of call wait times in a call center.
• Assessing the distribution of product weights in a manufacturing process.
• Examining the variation in delivery times for an e-commerce business.

Provides insights into process performance and variation, enabling teams to target areas for improvement and make data-driven decisions.

How to make a histogram

• Collect data for analysis. Record occurrences of specific ranges using a tally chart.
• Analyze the data at hand and split the data into intervals or bins.
• Count how many values fall into each bin.
• On the graph, indicate the frequency of occurrences for each bin with the area (height) of the bar.
• Process engineers or data analysts examining process performance metrics.
• Financial analysts analyzing expenditure patterns or budget variances.
• Supply chain managers assessing supplier performance or delivery times.

Here’s a useful article to learn more about using a histogram for quality improvement in more detail.

This tool is devised by Kaoru Ishikawa himself and is also known as the fishbone diagram (for it’s shaped like the skeleton of a fish) and Ishikawa diagram.

They are used for identifying the various factors (causes) leading to an issue (effect). It ultimately helps discover the root cause of the problem allowing you to find the correct solution effectively.

• Problem-solving; finding root causes of a problem.
• Uncovering the relationships between different causes leading to a problem.
• During group brainstorming sessions to gather different perspectives on the matter.
• Investigating the potential causes of low employee morale or high turnover rates.
• Analyzing the factors contributing to product defects in a manufacturing process.
• Identifying the root causes of customer complaints in a service industry.

Enhances problem-solving by systematically identifying and organizing possible causes, allowing teams to address root causes rather than symptoms.

How to use the cause and effect diagram

• Identify the problem area that needs to be analyzed and write it down at the head of the diagram.
• Identify the main causes of the problem. These are the labels for the main branches of the fishbone diagram. These main categories can include methods, material, machinery, people, policies, procedures, etc.
• Identify plausible sub-causes of the main causes and attach them as sub-branches to the main branches.
• Referring to the diagram you have created, do a deeper investigation of the major and minor causes.
• Once you have identified the root cause, create an action plan outlining your strategy to overcome the problem.
• Cross-functional improvement teams working on complex problems or process improvement projects.
• Quality engineers investigating the root causes of quality issues.
• Product designers or engineers seeking to understand the factors affecting product performance.

The scatter diagram (scatter charts, scatter plots, scattergrams, scatter graphs) is a chart that helps you identify how two variables are related.

The scatter diagram shows the values of the two variables plotted along the two axes of the graph. The pattern of the resulting points will reveal the correlation.  

• To validate the relationship between causes and effects.
• To understand the causes of poor performance.
• To understand the influence of the independent variable over the dependent variable.
• Exploring the relationship between advertising expenditure and sales revenue.
• Analyzing the correlation between employee training hours and performance metrics.
• Investigating the connection between temperature and product quality in a production line.

Helps identify correlations or patterns between variables, facilitating the understanding of cause-and-effect relationships and aiding in decision-making.

How to make a scatter diagram

• Start with collecting data needed for validation. Understand the cause and effect relationship between the two variables.
• Identify dependent and independent variables. The dependent variable plotted along the vertical axis is called the measures parameter. The independent variable plotted along the horizontal axis is called the control parameter.
• Draw the graph based on the collected data. Add horizontal axis and vertical axis name and draw the trend line.
• Based on the trend line, analyze the diagram to understand the correlation which can be categorized as Strong, Moderate and No Relation.  
• Data analysts exploring relationships between variables in research or analytics projects.
• Manufacturing engineers investigating the correlation between process parameters and product quality.
• Sales or marketing teams analyzing the relationship between marketing efforts and sales performance.

Check sheets provide a systematic way to collect, record and present quantitative and qualitative data about quality problems. A check sheet used to collect quantitative data is known as a tally sheet.

It is one of the most popular QC tools and it makes data gathering much simpler.

• To check the shape of the probability distribution of a process
• To quantify defects by type, by location or by cause
• To keep track of the completion of steps in a multistep procedure (as a checklist )
• Tracking the number of defects or errors in a manufacturing process.
• Recording customer complaints or inquiries to identify common issues.
• Monitoring the frequency of equipment breakdowns or maintenance needs.

Provides a structured approach for data collection, making it easier to identify trends, patterns, and areas for improvement.

How to make a checksheet

• Identify the needed information.
• Why do you need to collect the data?
• What type of information should you collect?
• Where should you collect the data from?  
• Who should collect the data?
• When should you collect the data?
• How should you measure the data?
• How much data is essential?

Construct your sheet based on the title, source information and content information (refer to the example below).

Test the sheets. Make sure that all the rows and columns in it are required and relevant and that the sheet is easy to refer to and use. Test it with other collectors and make adjustments based on feedback.

• Quality inspectors or auditors who need to collect data on defects or issues.
• Process operators or technicians responsible for tracking process parameters or measurements.
• Customer service representatives who record customer complaints or inquiries.

Control Chart

The control chart is a type of run chart used to observe and study process variation resulting from a common or special cause over a period of time.

The chart helps measure the variations and visualize it to show whether the change is within an acceptable limit or not. It helps track metrics such as defects, cost per unit, production time, inventory on hand , etc.

Control charts are generally used in manufacturing, process improvement methodologies like Six Sigma and stock trading algorithms.

• To determine whether a process is stable.
• To monitor processes and learn how to improve poor performance.
• To recognize abnormal changes in a process.
• Monitoring the variation in product dimensions during a manufacturing process.
• Tracking the number of customer complaints received per day.
• Monitoring the average response time of a customer support team.

Enables real-time monitoring of process stability, early detection of deviations or abnormalities, and prompt corrective actions to maintain consistent quality.

How to create a control chart

• Gather data on the characteristic of interest.
• Calculate mean and upper/lower control limits.
• Create a graph and plot the collected data.
• Add lines representing the mean and control limits to the graph.
• Look for patterns, trends, or points beyond control limits.
• Determine if the process is in control or out of control.
• Investigate and address causes of out-of-control points.
• Regularly update the chart with new data and analyze for ongoing improvement.
• Production supervisors or operators monitoring process performance on the shop floor.
• Quality control or assurance personnel tracking variation in product quality over time.
• Service managers observing customer satisfaction levels and service performance metrics.

Pareto Chart

The Pareto chart is a combination of a bar graph and a line graph. It helps identify the facts needed to set priorities.

The Pareto chart organizes and presents information in such a way that makes it easier to understand the relative importance of various problems or causes of problems. It comes in the shape of a vertical bar chart and displays the defects in order (from the highest to the lowest) while the line graph shows the cumulative percentage of the defect.

• To identify the relative importance of the causes of a problem.
• To help teams identify the causes that will have the highest impact when solved.
• To easily calculate the impact of a defect on the production.
• Analyzing customer feedback to identify the most common product or service issues.
• Prioritizing improvement efforts based on the frequency of quality incidents.
• Identifying the major causes of delays in project management.

Helps focus improvement efforts on the most significant factors or problems, leading to effective allocation of resources and improved outcomes.

How to create a Pareto chart

• Select the problem for investigation. Also, select a method and time for collecting information. If necessary create a check sheet for recording information.
• Once you have collected the data, go through them and sort them out to calculate the cumulative percentage.
• Draw the graph, bars, cumulative percentage line and add labels (refer to the example below).
• Analyze the chart to identify the vital few problems from the trivial many by using the 80/20 rule . Plan further actions to eliminate the identified defects by finding their root causes.
• Quality managers or improvement teams looking to prioritize improvement initiatives.
• Project managers seeking to identify and address the most critical project risks.
• Sales or marketing teams analyzing customer feedback or product issues.

What’s Your Favorite Out of the 7 Basic Quality Tools?  

You can use these 7 basic quality tools individually or together to effectively investigate processes and identify areas for improvement. According to Ishikawa, it’s important that all employees learn how to use these tools to ensure the achievement of excellent performance throughout the organization.

Got anything to add to our guide? Let us know in the comments section below.

Join over thousands of organizations that use Creately to brainstorm, plan, analyze, and execute their projects successfully.

FAQs about 7 Basic Quality Tools

Quality problems in an organization can manifest in various forms and affect different areas of operations.

• Product defects: Products may have defects or non-conformities that deviate from quality specifications, leading to customer dissatisfaction, returns, or warranty claims.
• Service errors: Service errors can occur when services do not meet customer expectations, such as incorrect billing, delays in delivery, or inadequate customer support.
• Process inefficiencies: Inefficient processes can lead to delays, errors, or rework, resulting in increased costs, decreased productivity, and customer dissatisfaction.
• Poor design or innovation: Inadequate product design or lack of innovation can lead to products that do not meet customer needs, lack competitive features, or have usability issues.
• Supplier quality issues: Poor quality materials or components from suppliers can affect the overall quality of the final product or service.
• Ineffective quality management systems: Inadequate quality management systems, such as lack of quality standards, processes, or documentation, can contribute to quality problems throughout the organization.

The basic quality improvement steps typically follow a systematic approach to identify, analyze, implement, and monitor improvements in processes or products.

• Clearly articulate the problem or identify the area for improvement.
• Collect relevant data and information related to the problem.
• Analyze the collected data to identify patterns, root causes, and opportunities for improvement.
• Brainstorm and generate potential improvement ideas or solutions.
• Assess the feasibility, impact, and effectiveness of the generated improvement ideas.
• Develop an action plan to implement the chosen solution.
• Continuously monitor and measure the results of the implemented solution.
• Based on the monitoring results, evaluate the effectiveness of the implemented solution.
• Once the improvement is successful, document the new processes, best practices, or standard operating procedures (SOPs).
• Iterate through the steps to continuously improve processes and products.

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Amanda Athuraliya is the communication specialist/content writer at Creately, online diagramming and collaboration tool. She is an avid reader, a budding writer and a passionate researcher who loves to write about all kinds of topics.

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Basic Seven Tools of Quality

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Presentation on theme: "Basic Seven Tools of Quality"— Presentation transcript:

7 QC Tools.

7 QC TOOLS 1. Check sheet 2. Pareto Diagram 3. Cause & Effect Diagram

Quality control tools

Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Lecture Slides Elementary Statistics Eleventh Edition and the Triola.

Seven Quality Tools The Seven Tools

1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 5 Analyzing.

Total Quality Management Tools

Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.

Chapter 8: Quality Management Project Quality Management

Chapter 15 Work Flows Focus: This chapter describes the basic tools and techniques for analysis.

Chapter 10 The Tools of Quality.

Total Quality Management BUS 3 – 142 Statistics for Variables Week of Mar 14, 2011.

TOTAL QUALITY MANAGEMENT (Continuous Quality Improvement)

ISHIKAWA’S BASIC SEVEN TOOLS OF QUALITY

Quality Tools, RCA, FMEA Manufacturing Systems Analysis Professor: Nour El Kadri site.uottawa.ca.

2-3.  In addition to the histogram, the frequency polygon, and the ogive, several other types of graphs are often used in statistics. They are the bar.

QUICKSTART Pareto Chart. Pareto Chart Understand what the Pareto law is Understand what a Pareto diagram is Provide Pareto analysis by level Provide examples.

Project Quality Management

NSW Curriculum and Learning Innovation Centre Tinker with Tinker Plots Elaine Watkins, Senior Curriculum Officer, Numeracy.

Quality Control Tools A committee for developing QC tools affiliated with JUSE was set up in April Their aim was to develop QC techniques for.

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Seven basic tools of quality.

Description The seven basic tools of quality is a designation given to a fixed set of graphical techniques identified as being most helpful in troubleshooting issues related to quality. They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues. The seven basic tools of quality or seven basic Quality Control (QC) tools as they are commonly called, are tools which arrange problem areas, put data into diagrams, surface problem areas and clearly bring up any hidden truth. These tools are not for experts alone but for the use of everyone in their daily work. A problem solving team's successes are dependent on the familiarity and ease with which these tools are used.

The Seve n Basic QC Tools are: 1. Check Sheet: Systematically collects and organizes data for analysis.

2. Histogram: Illustrates the distribution of a set of data.

3. Pareto Chart: Identifies and prioritizes the most significant factors contributing to a problem.

4. Cause-and-Effect Diagram (Fishbone/Ishikawa): Identifies potential causes of a problem for further analysis.

5. Scatter Diagram: Examines the relationship between two variables.

6. Control Chart: Monitors and maintains the stability of a process over time.

7. Stratification: Analyzes and categorizes data to identify patterns and variations. In this Seven Basic Tools of Quality PPT training presentation, you will be able to teach employees how to use the tools in their daily work or as part of the structured Plan-Do-Check-Act (PDCA) approach to problem solving. The basic tools can also be applied in A3 problem solving, 8D (Eight Disciplines) problem solving, Yellow Belt Lean Six Sigma projects, Green Belt Lean Six Sigma projects, Kaizen events, TPM Focused Improvement projects, etc.

Learning Objectives​

To understand the seven basic tools for quality and process improvement.

To learn how to apply the seven basic tools of quality to problem solving or daily work.

PDCA Problem Solving

Stratification

Check Sheet

Control Chart

Pareto Chart

Cause & Effect Diagram

Scatter Diagram

You may also be interested in the following training presentations and frameworks (sold separately): ​

Introduction to Quality

Total Quality Management

Total Quality Process

PDCA Problem Solving Technique & Tools

Problem Solving & Visualization Tools

Root Cause Analysis

Seven Advanced Quality Tools

Reducing the Cost of Quality

8D Problem Solving Process

Advanced Product Quality Planning (APQP)

Failure Mode & Effects Analysis (FMEA)

Mistake-Proofing

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Quality management concerns the optimization of the quality of a product, a service or a process. Quality management includes the planning, monitoring, control and monitoring of a quality process and the results of the process.  

This affects all measures that improve process quality. A common model is the EFQM model and ISO 9001. Benefit from pre-designed checklists, intricate diagrams and model analyses to create a successful quality management presentation. The Total Quality Management (TQM) Toolbox includes all necessary templates and work sheets for the expert recording and control of business processes. Visualize how to increase efficiency and quality of processes and quickly calculate cost models or create strategies to increase profits.

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What are 7 QC Tools? | Free Downloadable Templates

• Post author: Manish Singla
• Post published: April 9, 2022
• Post category: Quality 101
• Post comments: 0 Comments

As a quality engineer, you know that using the right tools is critical to success. In this article, we’ll discuss seven of the most important quality control tools i.e. 7 QC Tools, and how they can help your business.

We’ll also explore some of the benefits of each tool and how to use them effectively.

By understanding these tools and incorporating them into your quality control process, you can ensure that your products are consistently high-quality.

Let’s get started!

Table of Contents

Origin of 7 QC Tools

The 7QC tools are said to have been developed by Kaoru Ishikawa in postwar Japan, inspired by Benkei’s seven famous weapons.

Benkei was a Japanese warrior monk who armed himself with seven weapons and was on a personal quest to take 1,000 swords from samurai warriors who he considered arrogant and undeserving.

In 1950, Dr. W. Edwards Deming gave a series of lectures to a group of Japanese scientists and engineers in which he made his first public appearance outside the United States.

Unfortunately, most people were intimidated by the subject’s complexity, so Ishikawa concentrated on only a few tools that would suffice for most quality-related concerns.

#1 Checksheet

Checksheet is a data collection tool. It is an analytical tool used to collect, record, and present data for the objective of conducting analysis.

Checksheet is used to collect both quantitative and qualitative data.

When a Check-sheet is used for collecting Quantitative data it is generally called a Tally Sheet .

Data Collection is the primary step for any improvement identification or problem analysis. 

Types of the checksheets are majorly based on the type and purpose of data collected. 

Following are the types of checksheets:

• Classification Checksheet
• Defect Location CheckSheet
• Frequency Checksheet 
• Measurement Scale Checksheet

To read about Checksheets in more detail, check our article on Checksheet.

What is Checksheet? | Free Template

#2 Histogram

A histogram is a graphical tool used for representing data as frequency distribution.

It groups data into continuous number ranges and each range corresponds to a vertical bar i.e. the height of each bar shows how many cases fall into each range.

Each bar indicates the number of observations that lie in-between the range of values, known as class or bin.

A histogram is a two-axis chart. Its Y-Axis displays the frequency and the X-Axis displays the number range. One of the distinguishing features of a Histogram is that there are no gaps between the range bars.

The histogram can be classified into different types based on the shape of the frequency distribution of the data. We can categorize histograms into 5 types based on their shapes. They are listed below:

• Bell Shaped Histogram
• Skewed Right Histogram
• Skewed Left Histogram
• Uniform Histogram
• Bimodal Histogram
• Multimodal Histogram

To read about Histogram in more detail, check our article on Histogram.

What is Histogram?

#3 Scatter Diagram

A scatter diagram or scatter plot is a mathematical diagram that plots pairs of data on an X-Y graph in order to reveal the relationship between the data sets .

In other words, scatter diagrams help us understand how one set of data affects another.

They are commonly used in scientific and statistical analysis , as well as in business and marketing to visualize the relationships between different factors.

For example, scatter diagrams can be used to study the correlation between two variables – such as price and demand – or to investigate how a change in one variable affects the other.

There are many different types of scatter plots, but all share the same basic features: an X-axis (horizontal) and a Y-axis (vertical) , as well as a series of points that represent the data. The type of scatter plot will vary depending on what information you want to glean from the data.

There are several advantages of scatter diagrams:

• They allow you to visualize the relationship between two variables.
• They can help you identify outliers in your data.
• They can help you identify patterns in your data .
• They can help you understand how the variables are related to each other .
• They can help you determine the direction of the relationship between the two variables.

To read about scatter diagrams in more detail, check our article on Histogram.

What is Scatter Diagram?

#4 Fishbone Diagram

A Fishbone diagram is a graphical tool used for organizing potential causes of a problem in a logical manner. The fishbone diagram identifies many possible causes for an effect or problem.

It can be used to structure a brainstorming session. It immediately sorts ideas into useful categories. It is mostly used in conjunction with other problem-solving techniques, such as 5 Why root cause analysis. 

It is called a fishbone diagram because of its shape . Its shape looks like a fishbone and hence the name fishbone diagram.

There are a number of advantages to using fishbone diagrams:

• They help to identify the root causes of problems.
• They are an effective way of organizing and visualizing data.
• They can be used to generate hypotheses about problems.
• Help prioritize relevant causes, so underlying root causes are addressed first.

To read about Fishbone Diagram in more detail, check our article on the Fishbone diagram.

What is Fishbone Diagram?

#5 Pareto Charts

A Pareto chart is a graphical tool used to display the relative proportions of occurrence of different values. It is named after economist Vilfredo Pareto, who observed that 80% of Italy’s land was owned by 20% of its population. 

The Pareto principle, also known as the 80/20 rule , has been popularized in business and quality management as a way to focus on those activities that will yield the most results . The theory behind the principle is that a relatively small number of causes (the vital few) produce the majority of effects (the trivial many). 

In other words, you can achieve a lot with a little effort if you focus on the right things . When applied to quality improvement, the Pareto principle can help you prioritize actions and allocate resources to achieve the greatest impact.

The bars are arranged with the longest on the left and the shortest on the right so they visually depict what percentage occurs more often than others. A Pareto chart can be used to find what factors are more important so that you can focus on them.

Pareto Charts offer multiple benefits :

• One of the advantages of the Pareto chart is that it helps to identify the main cause of defects or problems. Defects are ranked in order of their severity.
• The Pareto chart helps to determine the cumulative impact of the defect. In other words, it helps to identify the overall impact of all the defects.
• Another advantage of the Pareto chart is that it is simple and easy to use. It helps to prioritize the defects, and it can be used to determine the corrective action for the highest priority defects.
• The Pareto principle or 80-20 rule states that 80% of the effects come from 20% of the causes. This principle can be applied to many areas of life, and it is particularly useful for problem-solving. The Pareto chart is based on this principle, and it can be used to identify the problems that have the biggest impact.

To read about Pareto Charts in more detail, check our article on Pareto Charts.

What is Pareto Chart?

#6 Stratification

Stratification is a quality control tool for sorting data, things, and people into separate and distinct categories. Stratifying your data can help you figure out what it means, revealing patterns that might otherwise be undetectable when it’s grouped together.

To read about stratification in more detail, check our article on Stratification.

What is Stratification?

#7 Control Charts

Control Charts are graphical tools used to monitor and control a process. There are different types of Control Charts, but all aim to help identify and correct process problems.

Control charts can be used in many industries, such as healthcare, manufacturing, and as part of various methodologies such as TQM, Six Sigma, Kanban, and project management.

Control charts are used to study how a process changes over time and to identify when and how the process goes out of control. Control charts can help you to improve the quality of your product or service and to ensure that your process is running smoothly.

There are many benefits to using control charts, including:

• they help to identify problems in a process
• they help to determine the cause of the problem
• they help to find the appropriate corrective action
• they help to track the progress of the corrective action
• They help to prevent future problems.

To read about Control Charts in more detail, check our article on Control Charts.

What are Control Charts?

How to use 7 QC Tools?

Each of the 7 QC Tools provides its own unique benefits that can help improve the quality of products. Here is a description of how each tool can be used:

– Control Chart : The Control Chart can be used to track and measure the variability of a process.

The Control Chart can help operators identify and track special causes of variation, which can help improve the quality of products.

– Pareto Chart : The Pareto Chart can be used to identify and prioritize the most important causes of defects. The Pareto Chart can help operators focus on the most important problems and improve the quality of products.

– Histogram : The Histogram can be used to track and measure the distribution of data. The Histogram can help operators identify and track special causes of variation, which can help improve the quality of products.

– Scatter Diagram : The Scatter Diagram can be used to identify and track the relationship between two variables. The Scatter Diagram can help operators identify and track special causes of variation, which can help improve the quality of products.

– Check Sheet : The Check Sheet can be used to track and measure the characteristics of a process.

– Flowchart : The Flowchart can be used to map and understand the flow of a process.

– Cause and Effect Diagram : The Cause and Effect Diagram can be used to identify and track the relationships between causes and effects.

New 7 QC Tools

In 1976, the Union of Japanese Scientists and Engineers (JUSE) saw the need for tools to promote innovation, communicate information, and successfully plan major projects.

A team researched and developed the seven new quality control tools, to be used along with the 7 basic quality tools.

Often called the seven management and planning (MP) tools , or simply the seven management tools. 

The seven new tools, listed in an order that moves from abstract analysis to detailed planning, are: 

• Affinity Diagram 
• Relations Diagram 
• Tree Diagram
• Matrix Diagram 
• Arrows Diagram 
• Process Decision Program Chart
• Prioritization Matrix- Matrix Data Analysis 

Affinity Diagram

An affinity diagram is a tool that is used for organizing and sorting data. It is used to identify the similarities and differences between a group of items. 

The affinity diagram is also known as the KJ Method, named after Japanese quality control experts Jiro Kawakita and Kaoru Johansson.

The method was developed in the early 1960s. The affinity diagram is used to identify the cause-and-effect relationships between different items.

Relationship Diagram

A relationship diagram is a tool that is used to identify the relationships between different items.

It is also known as the Ishikawa diagram, named after quality control expert Kaoru Ishikawa. The diagram was developed in the early 1960s.

It helps Find Solutions by Clarifying Relationships with Complex Interrelated Causes. To allow a team to systematically identify, analyze, and classify the cause and effect relationships that exist among all critical issues.

• Useful at the planning stage for obtaining perspective on the overall situation.
• Facilitates consensus among team
• Assists to develop and change people’s thinking
• Enables priorities to be identified accurately

Tree Diagrams

A tree diagram is a graphical tool used to represent the hierarchical relationships between items in a data set.

Also known as a “decision tree,” a tree diagram can be used to evaluate various scenarios and determine the optimal course of action.

Tree diagrams are commonly used in project management, business decision-making, risk assessment, and event planning.

Matrix Diagram

Matrix diagrams are used to help identify and understand the relationships between elements of a system.

In quality control, matrix diagrams can be used to identify and understand the relationships between various quality characteristics and the causes that affect them.

Consists of a two-dimensional array to determine the location and nature of the problem  Discovers key ideas by relationships represented by the cells in the matrix.

• It helps incorporate data while working on different ideas based on extensive experience
• Clarifies relationships among different elements
• Makes the overall structure of the problem immediately obvious
• Combined with two to four types of diagrams, the location of the problem is clearer.

Arrow Diagram

Arrow Diagram is used for Working Out Optimal Schedules and Controlling Them Effectively.

• The arrow diagram shows relationships among tasks needed to implement a plan.
• Allows overall tasks to be viewed and potential snags to be identified before work starts. This leads to discovery of possible improvements
• Makes it easy to monitor the progress of work
• Deals promptly with changes to the plan
• Improves communication among team

Process Decisions Program Charts (PDPC)

PDPCs are used for planning the activities needed to solve problems when information is incomplete or the situation is fluid and hard to forecast.

Examples include planning an R & D project, mapping out countermeasures against long-term chronic problems, and planning a sales campaign.

A PDPC consists of a series of steps linked in sequence. Its goal is to depict the events and contingencies likely to occur when progressing from a starting point to one or more final outcomes

Prioritization Matrix

This technique quantifies, arranges data, and presents it in Matrix form.

It involves finding indicators that differentiate and attempt to clarify a large amount of information.

Prioritization Matrix is used by teams to narrow down options through a systematic approach of comparing choices by selecting, weighting, and applying criteria.

Benefits of 7 QC Tools

The 7 QC Tools have been shown to provide a number of benefits, including:

• Improved product quality
• Increased efficiency
• Reduced manufacturing costs
• Reduced waste and scrap
• Improved customer satisfaction
• Improved safety and health

Each of the 7 QC Tools provides its own unique benefits that can help improve the quality of products.

Hope this article was helpful. If yes do comment and share with your peers.

Keep improving!

• www.asq.org
• https://www.lucidchart.com/

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Quality Tools

Nov 08, 2014

560 likes | 805 Views

Quality Tools. Key Contributors to Quality Management. Key Contributors to Quality Management. Total Quality Management. A philosophy that involves everyone in an organization in a continual effort to improve quality and achieve customer satisfaction. Process Improvement.

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• process improvement
• quality tools
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• stable operations stable ops

Presentation Transcript

Key Contributors to Quality Management

Total Quality Management A philosophy that involves everyone in an organization in a continual effort to improve quality and achieve customer satisfaction

Process Improvement • A systematic approach to improving a process • Overview of the approach • process mapping • analyze the process • redesign the process

Plan Act Do Study The PDSA Cycle

Select a process Document Study/document Evaluate Seek ways to Improve it Implement the Improved process Design an Improved process The Process Improvement Cycle

Process Improvement Tools • There are a number of tools that can be used for problem solving and process improvement • Tools aid in data collection and interpretation, and provide the basis for decision making

Seven Basic Quality Tools • Check sheets • Flowcharts • Scatter diagrams • Histograms • Pareto analysis • Control charts • Cause-and-effect diagrams

Check Sheet Monday • Billing Errors • Wrong Account • Wrong Amount • A/R Errors • Wrong Account • Wrong Amount

Flowchart Process Process Process? OK? OK Process Identify value added steps, rework loops, flow loops, etc.

The Operations FunctionInputsTransformed into Outputs Inputs Labor Personnel Capital Machines Money Resources Raw Material Components Energy Facilities Management Arts & Sciences Managerial Talent Technical Expertise

The Operations FunctionInputs Transformed into Outputs Inputs Labor Personnel Capital Machines Money Resources Raw Material Components Energy Facilities Management Arts & Sciences Managerial Talent Technical Expertise Process The firm transforms inputs to outputs (operations, finance, marketing)

The Operations FunctionInputs Transformed into Outputs Inputs Labor Personnel Capital Machines Money Resources Raw Material Components Energy Facilities Management Arts & Sciences Managerial Talent Technical Expertise Process The firm transforms inputs to outputs (operations, finance, marketing) Outputs

The Operations FunctionInputs Transformed into Outputs Inputs Labor Personnel Capital Machines Money Resources Raw Material Components Energy Facilities Management Arts & Sciences Managerial Talent Technical Expertise Process The firm transforms inputs to outputs (operations, finance, marketing) Outputs Clients, customers

Example Processes • Insurance • Banks • Retail • Golf Course • School Discuss operations for two companies / organizations that you are familiar with. Use one or more of the seven quality tools for one of the companies.

Scatter Diagram Variable B Variable A

Histogram frequency A B C D E

Number of defects Offcenter Smeared print Missing label Other Loose Pareto Analysis 80% of the problems may be attributed to 20% of the causes.

1020 UCL 1010 1000 990 LCL 980 970 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Control Chart

UCL UCL UCL LCL LCL Additional improvements made to the process LCL Process centered and stable Process not centered and not stable Tracking Improvements

Methods Materials Cause Cause Cause Cause Effect Cause Cause Environment Cause Cause Cause Cause Cause Cause People Equipment Cause-and-Effect Diagram

What is Six Sigma? • Appropriate Metric – 3.4 million defects per million opportunities • Robust Methodology – Tools plus implementation methods to make success more likely • Philosophy – Cost-focused, data-driven

What is Six Sigma?Key Concepts • Critical to Quality: What attributes are most important to the customer? (CTQ, CTC, CTD) • Defect: Failing to deliver what the customer wants / expects (DPMO) • Variation: The level of unpredictability the customer experiences

What is Six Sigma?Key Concepts • Process Capability: What your process can deliver – consistently • Stable Operations:Stable ops are predictable • Design for Six Sigma:Designing to meet customer needs and process capability

DMADV - DMAIC Existing Processes New Processes

Define Phase - Tools • Project Charter • Stakeholder Analysis • Affinity Diagram • SIPOC • Voice of the Customer • CT Tree • Kano Model • SWOT Analysis • Cause-and-Effect Diagrams • Supplier Segmentation • Project Management

Charter • Problem statement • Business case • Goals, milestones, success criteria, & deliverables • Project scope / boundaries • Roles & responsibilities • Stakeholder support / approval needed

Business Case

Define Outputs • Once completed, the Define Phase should answer the following questions: 1) Who is the customer? 2) What matters? 3) What is the scope? 4) What defect am I trying to reduce? 5) What are the improvement targets?

The Measure Phase • Purpose • To collect current performance of the process identified in the Define phase • This data is used to determine sources of variation and serve as a benchmark to validate improvements

Measure - Key Concepts • Measurement • Variation • Exists naturally in any process and is the reason Six Sigma projects are undertaken • Data • Data Collection Plan • Measurement System Analysis • Ensures measurement techniques are reproducible and repeatable

Data Collection Plan • What data will be collected? • Why is it needed? • Who is responsible? • How will it be collected? • When will it be collected? • Where will it be collected?

Measurement System Analysis • After Data Collection Plan is complete, it needs to be verified before actual data is collected • MSA is performed on a regular basis • MSA ends when a high level of confidence is reached that the data collected accurately depicts the variation in the process

Analyze Phase • The analyze phase allows the Project Team to target improvement opportunities by taking a closer look at the data.

Analyze Phase • Capability Analysis - establishing current performance level • Graphical Analysis - a visual indication of performance using graphs • Root Cause Analysis – developing a hypothesis about the causes of variation • Root Cause Verification – verifying that the planned action will generate the desired improvement

Elements of Improve Phase • Generate Improvement Alternatives • Create a “Should Be” Process Map • Conduct FMEA • Perform Cost/Benefit Analysis • Pilot • Validate Improvement

Control PhaseWhy is it important? • The Control Phase begins as the project team tries to eliminate errors by “Mistake Proofing” their improvement alternative. • Mistake Proofing attempts to eliminate the opportunities for error.

Control PhaseWhy is it important? • Mistake Proofing tries to make it impossible for an operation to be performed incorrectly, and/or correct errors before they are passed to the next worker, where they might become a defect.

Control Phase #2 • During the Control Phase the Project team will: 1) Develop a plan to make sure the measurement system will remain relevant over the long term. 2) Establish Control Charts the process owner will use to manage the process. 3) Create a Reaction Plan to address situations that might cause the process to move out of control.

Control Phase #3 • The Control Phase ends when: 1) Standard Operating Procedures have been updated. 2) Process Operators, the people who do the job, have been trained for the new process. • Once completed, the Control Phase should sustain the gains the project made while implementing ongoing process controls.

Control Phase #4 • When is a project complete? 1) When other Black Belts can see the ongoing controls work 2) When the customer sees the results 3) When the business sees the money.

Stakeholder Analysis

SIPOC Example

SWOT Analysis

Quality Awards Baldrige Award

Malcolm Baldrige National Quality Award (1 of 2) • Began in 1987 • Recognizes achievements of excellent organizations and provide examples to others • may give two awards in each category • manufacturing • small business • service • health care • education

Malcolm Baldrige National Quality Award (2 of 2) • Establishes criteria for evaluating quality efforts • Provides guidance for other American companies

2007 MBNQA Categories and Scoring System 1.0 Leadership 120 2.0 Strategic Planning 85 3.0 Customer and Market Focus 85 4.0 Measurement, Analysis, & Knowledge Management 90 5.0 Workforce Focus 85 6.0 Process Management 85 7.0 Results 450

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How to Make a “Good” Presentation “Great”

• Guy Kawasaki

Remember: Less is more.

A strong presentation is so much more than information pasted onto a series of slides with fancy backgrounds. Whether you’re pitching an idea, reporting market research, or sharing something else, a great presentation can give you a competitive advantage, and be a powerful tool when aiming to persuade, educate, or inspire others. Here are some unique elements that make a presentation stand out.

• Fonts: Sans Serif fonts such as Helvetica or Arial are preferred for their clean lines, which make them easy to digest at various sizes and distances. Limit the number of font styles to two: one for headings and another for body text, to avoid visual confusion or distractions.
• Colors: Colors can evoke emotions and highlight critical points, but their overuse can lead to a cluttered and confusing presentation. A limited palette of two to three main colors, complemented by a simple background, can help you draw attention to key elements without overwhelming the audience.
• Pictures: Pictures can communicate complex ideas quickly and memorably but choosing the right images is key. Images or pictures should be big (perhaps 20-25% of the page), bold, and have a clear purpose that complements the slide’s text.
• Layout: Don’t overcrowd your slides with too much information. When in doubt, adhere to the principle of simplicity, and aim for a clean and uncluttered layout with plenty of white space around text and images. Think phrases and bullets, not sentences.

As an intern or early career professional, chances are that you’ll be tasked with making or giving a presentation in the near future. Whether you’re pitching an idea, reporting market research, or sharing something else, a great presentation can give you a competitive advantage, and be a powerful tool when aiming to persuade, educate, or inspire others.

• Guy Kawasaki is the chief evangelist at Canva and was the former chief evangelist at Apple. Guy is the author of 16 books including Think Remarkable : 9 Paths to Transform Your Life and Make a Difference.

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Top 10 Quality Improvement Project Templates with Examples and Samples

Minakshi Arora

Quality Improvement is the one area of business that has seen a revolution over the past five decades. Be it a product or service, the quality has improved manifold. It is, however, not an accident that the quality of the device you are reading is so much better than just a couple of years ago.

Quality Improvement is a central focus area for enterprises today. It is continuous improvement in how products interact and interface with their customers to provide them with the highest quality of experience possible. Remember the dial-phones; compare them to your iPhone's one-touch speed dial facility today. Now, do you see the point of quality improvement? 

Understand the importance of project quality management with this complete guide to executing it in projects with templates.  Click here  to access world-class presentation templates on project quality management. 

For day-to-day purposes, however, quality improvement is an incremental process that tackles one issue at a time. For instance, the Japanese auto major Toyota follows quality improvement as a daily mission. For businesses like yours, quality improvement must also be a daily vow. Such an approach resolves your pain point of attracting and retaining customers as your product quality quickly grows by leaps and bounds. 

To this end, SlideTeam has curated PPT Templates on project quality improvement to help you take to quality. From customers to finances, these presentation templates provide the ultimate solution to upgrade quality significantly. 

Each of these templates is 100% customizable and editable. The content-ready nature provides the much-needed structure, while the editability feature lets you tailor each slide to your audience's unique tastes and preferences. 

Let us explore these templates now!

Template 1: Quality Improvement PowerPoint Template Bundles

Understand the three phases of product quality improvement using this complete deck that highlights a company's three quality improvement models. Also, get a separate slide on four essential tools for quality improvement, and four fundamental quality improvement principles for successful initiatives in healthcare. This comprehensive hands-on presentation template also addresses how to maintain and create a quality improvement roadmap.

Download Now! 

Template 2: Five Steps for Project Quality Improvement

Efficient working is the best indicator that quality people are at work on quality business processes. This presentation template showcases five project quality Improvement steps essential for an efficient enterprise. These are front-loading the work; creating a great project team; setting the start and end dates; making the project easy with numeric goals, and being mindful of sustainability. Use this PPT Layout to ensure the client is impressed with your efforts to resolve all major pain points in getting quality to business processes are resolved. For instance, creating a checklist is vital in front-loading tasks. Download this practical solution to everyday business woes now, and be known for quality improvement efforts.

Download Now!

Template 3: Quality Improvement Project with Process and Equipment

Quality Improvement is not meant to be an intellectual concept alone. Businesses must have a concrete plan in place to ensure they get on to the highway for Quality Improvement and make significant improvements every day, every hour. This PPT Template illustrates product Improvement project execution with the four key inputs of process, process equipment, steps in the ideal approach, and tools. For instance, businesses will take the sample process steps before an imminent product inspection for specifications and performance internally with appropriate tools like a dynamometer. Get this template now to start an exciting product quality journey.

Template 4: Planning Sheet  for Project Quality Improvement

At the end of the day, it is the action that results in getting any quality improvement plan going. This slide tabulates the significant pillars, activities, and tools required for product quality improvement. The four central pillars to improve project quality are customer satisfaction, process enhancement; fact-based management, and drawing-empowered performance. Use this presentation template to highlight your expertise in how defining a quality management plan is a crucial activity for process improvement. The tool for creating this could be the fishbone diagram.

Template 5: Quality Improvement Plan for Project Management

The presentation template digs deep into designing a quality improvement plan, which includes the four steps: Act, Check, Plan, and Do. These include tools and methods like project progress reports; auditing results; studying performance indicators, installation testing, auditing, project schedule, training and development schedule, etc. For example, Act is the more fundamental step of seeking management commitment and taking corrective in real-time. Do, however, is the more detailed, tasks-oriented work of reviewing product requirements, installation, measuring, testing, and auditing in this model of the quality improvement plan.

Template 6: Data Quality Improvement Process Icon for IT Project

The three-staged model for the data quality improvement process needs to start with better sourcing, categorization, and extremely careful and state-of-the-art analysis. This PPT Template gives you those three steps and wonderful, gorgeous icons. These depict how well the quality improvement process is carried out through a committed team, always. The gears are constantly in motion.

Template 7: Projected Company Growth Rate Highlighting  Revenue and Action Plan for Quality Improvement in BPO 

This slide highlights the projected company growth rate. The presentation template illustrates how revenue, operating income, acquisition-related expenses, and restricting costs contribute to quality and ways to ensure that investment into increasing these reflects in quality improvement. The two major quality parameters of business, like adjusted operating income and amortization of intangibles, are numbers that owners need to be mindful of for quality improvement (can be achieved earlier or in a lower time than before). The PPT Layout also gives the targets for the quality improvement effort in terms of expected growth in five years in terms of revenues.

Template 8: Cost of Software Quality Improvement Process Improvement Project Success

Quality is a concept that can be hard to attain and easy to cut corners with. Yet, if defects are found, especially in software development, the cost of rework can be high. This slide gives enterprises an idea about the costs of software quality data. The visually-oriented layout depicts these costs in the graph regarding performance, rework costs, appraisal efforts cost, prevention, defects, etc. Over time, businesses have to aim at lowering the percentages of each of these costs, especially the cost of maintaining quality and the efforts toward improving it.

Template 9: Activities to Enhance Product Quality Improvement

This presentation template provides information on activities businesses can undertake to sustain product quality improvement in their existing markets. Businesses can tabulate these seven key focus areas to master in this slide, with improvement initiatives mapped to each. For instance, raw material quality for your product has to be top-class and always be on the path of continuous quality improvement. The improvement initiative to achieve this is that the companies must enter into a written purchase agreement. The other activity to improve quality under this focus area could be to have a detailed reporting structure under centralized purchasing. Similar hands-on, practical solutions are highlighted in this innovatively-designed presentation template.

Template 10: Continuous Improvement in Project-Based Organizations Costs  of Software Quality Improvement

Dispense quality and credible information and thoroughly explain the costs of software quality improvement using the given slides. Again, the second graph shows how quality management costs decline as you implement cost management methodologies. The design, with the coins to the left of the slide, impresses with its attention to detail. Download now to attack your unnecessary costs and make a tangible difference in quality with your continuous efforts.

Master Continuous Quality  Improvement Now !

In quality improvement efforts, the key to consider is the nature of the change you want. Is it the result you want to change? Or do you want to champion daily, continuous improvements that combine to give you something transformational? The history of quality improvement favors the 2nd option, though the result changes with minor incremental quality improvements. Yet, the management efforts need to be on the processes. The results, ultimately, fall into place with sustained efforts made over a length of time. 

PS: Do you want to plan your decisions based on accurate, solid, updated information. Get the best information management plan templates from SlideTeam with a click here .  

FAQs on Quality Improvement

What is an example of a quality improvement project.

Quality Improvement is an organized way to judge how things are done, especially in business processes. After this evaluation, one must suggest changes to improve outcomes or results. An example of a quality Improvement project is to decide to improve the success ratio of students at passing a state-mandated exam of a government. Getting this outcome will involve the four stages of planning, doing, studying, and acting. This model of quality Improvement treats the issue as a problem. There are other models, too, that treat business processes as opportunities to improve outcomes. 

What are the four steps in the quality improvement cycle?

The Quality Improvement Cycle involves the four steps of Plan: setting goals, making a prediction, and planning data collection. The second step in the cycle is Study. This includes completing data analysis, reviewing the lessons from step 1, and deciding on a course of action. The third part of the cycle has the company or the organization implement and evaluate the results that the data has thrown up and take a call on the following process. In the final step of the cycle, which is DO, enterprises test the new plan and document problems. This is also the step where issues are reassessed, and improvements to quality improvement are revised. Remember, the cycle is a continuous process and never stops. 

What are the five types of quality improvement?

The five types of quality improvement interventions are arrived at based on the central issue the Plan deals with. Hence, these can be customer-driven; leadership improvements over time; significant upswing and improvements in process quality; working on polishing the culture in business. Finally, the fifth type of quality improvement plan fosters a culture of involvement and ownership. Everyone from the janitor to the CEO feels equally responsible for the events guiding an enterprise's future within their spheres of influence. In each of these areas, specific goals can be set and achieved.

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