This document provides an overview of 7 quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart. For each tool, a definition is given followed by a description of when and how it is used and the typical results obtained. The tools can be used at different stages of problem solving including monitoring situations, analyzing causes, reviewing effectiveness of actions, and implementing improvements. Overall, the tools help collect and visualize data to identify problems, find root causes, and measure results as part of a quality control process.
The document discusses 7 quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart. For each tool, it provides a definition, explains when and how the tool is used, and what results can be obtained from its use. The tools help collect and analyze numerical data to identify root causes of problems and measure the effects of improvements. They are applied during different phases of problem solving such as monitoring situations, analyzing causes, and reviewing the effectiveness of actions.
7 QC Tools for data analysis and problem solvingpapplion
The document provides information on 7 quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart. For each tool, it defines what the tool is, when it is used, and the typical results obtained from its use. The tools are used at different stages of problem solving including monitoring situations, analyzing causes, reviewing the effectiveness of actions, and implementing improvements. They help identify problems, find relationships between factors, and determine if processes are stable or need adjustment.
1. The document presents an overview of seven quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart.
2. It describes each tool, including how it is used and the results that can be obtained from its use. For example, a Pareto diagram is used to identify problems and their causes, while a control chart examines whether a process is stable or needs adjustment.
3. Implementing these quality control tools is part of establishing a quality program that continuously improves processes through reducing variability, identifying issues, and taking corrective actions.
The document provides information on seven quality control tools: Why-Why Analysis, What-If Analysis, Pareto Diagram, Cause and Effect Diagram, Stratification, Check Sheet, and Control Chart/Graph. It defines each tool, explains how and when each is used, and what results can be obtained from their use. The tools help collect and analyze data to identify root causes of problems and measure the effectiveness of solutions.
The document discusses quality management policy templates and provides resources and tools for quality management. It includes a sample quality management policy for Company XYZ that outlines their commitment to quality, continuous improvement, and customer satisfaction. It also describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document provides information about a quality management syllabus including its contents and quality management tools. The syllabus covers 5 units that introduce quality management concepts and frameworks, principles of total quality management, quality tools and techniques. It also lists and describes 6 common quality tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics like quality management systems and standards are also listed.
This document discusses quality assurance in project management. It provides definitions of quality and lists six quality control goals for managing projects. It outlines five techniques for discovering potential project problems, including cause/effect matrix, creative techniques, process mapping, simulation, and value analysis. It also defines the role of a project analyst and identifies skills and responsibilities for quality analysis. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional quality-related topics.
The document discusses 7 quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart. For each tool, it provides a definition, explains when and how the tool is used, and what results can be obtained from its use. The tools help collect and analyze numerical data to identify root causes of problems and measure the effects of improvements. They are applied during different phases of problem solving such as monitoring situations, analyzing causes, and reviewing the effectiveness of actions.
7 QC Tools for data analysis and problem solvingpapplion
The document provides information on 7 quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart. For each tool, it defines what the tool is, when it is used, and the typical results obtained from its use. The tools are used at different stages of problem solving including monitoring situations, analyzing causes, reviewing the effectiveness of actions, and implementing improvements. They help identify problems, find relationships between factors, and determine if processes are stable or need adjustment.
1. The document presents an overview of seven quality control tools: Pareto diagram, stratification, scatter diagram, cause and effect diagram, histogram, check sheet, and control chart.
2. It describes each tool, including how it is used and the results that can be obtained from its use. For example, a Pareto diagram is used to identify problems and their causes, while a control chart examines whether a process is stable or needs adjustment.
3. Implementing these quality control tools is part of establishing a quality program that continuously improves processes through reducing variability, identifying issues, and taking corrective actions.
The document provides information on seven quality control tools: Why-Why Analysis, What-If Analysis, Pareto Diagram, Cause and Effect Diagram, Stratification, Check Sheet, and Control Chart/Graph. It defines each tool, explains how and when each is used, and what results can be obtained from their use. The tools help collect and analyze data to identify root causes of problems and measure the effectiveness of solutions.
The document discusses quality management policy templates and provides resources and tools for quality management. It includes a sample quality management policy for Company XYZ that outlines their commitment to quality, continuous improvement, and customer satisfaction. It also describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document provides information about a quality management syllabus including its contents and quality management tools. The syllabus covers 5 units that introduce quality management concepts and frameworks, principles of total quality management, quality tools and techniques. It also lists and describes 6 common quality tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics like quality management systems and standards are also listed.
This document discusses quality assurance in project management. It provides definitions of quality and lists six quality control goals for managing projects. It outlines five techniques for discovering potential project problems, including cause/effect matrix, creative techniques, process mapping, simulation, and value analysis. It also defines the role of a project analyst and identifies skills and responsibilities for quality analysis. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional quality-related topics.
This document provides information about quality management certificates, including the contents and curriculum of a quality management certificate program. The certificate program covers quality tools, quality management, and six sigma quality improvement methods. It is designed to provide skills at the green belt level and prepare students for the ASQ six sigma certification. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
The document discusses various quality control tools used to identify issues, analyze causes, and monitor processes. It provides descriptions and examples of seven key QC tools: Pareto diagram, cause-and-effect diagram, histogram, scatter diagram, check sheet, control chart, and graph/flow chart. These tools can help objectively assess situations, identify problem areas, determine relationships between factors, and maintain process stability. The document emphasizes that collecting data and practicing the use of these tools is important for effectively solving problems and improving processes.
This document provides information and resources about quality management policy examples including templates, tools, and strategies. It includes a sample quality management policy for a company that describes establishing a quality management system to ensure total customer satisfaction and continuous improvement. Various quality management tools are also defined such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related quality management topics.
This document provides information about courses in quality management. It discusses the purpose and target group of quality management courses. The purpose is to equip employees with knowledge of total quality management and methods/techniques for improving quality. The target group includes any employees involved with quality management. The document also describes several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It lists additional quality management topics covered in related materials available for download.
This document discusses quality software project management. It provides an overview of useful tools, strategies, and resources for quality software project management including forms, ebooks, templates, KPIs, and interview questions. It also summarizes the contents of a book on quality software project management that discusses best practices, the software development lifecycle, and case studies. Finally, it lists and briefly describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others.
This document provides information on 7 QC tools used for problem solving. It discusses tools such as why-why analysis, check sheets, control charts, histograms, scatter diagrams, cause and effect diagrams, Pareto diagrams and stratification. For each tool, it provides a definition, examples of when and how it is used, and the type of results that can be obtained from its use, such as identifying root causes, variations in data, and processes that are out of control. The tools are part of a library of problem solving techniques and aim to help users collect and analyze data to solve problems in a systematic manner.
This document discusses quality management metrics and provides resources for learning more. It introduces six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can help quality managers measure and improve processes through data collection and identifying sources of variation. The document also lists additional quality management topics and provides links to download related materials.
This document discusses quality assurance project management. It provides resources on quality assurance project management forms, tools, and strategies. It also lists quality management KPIs, job descriptions, and interview questions. The document discusses reasons for project failures such as unclear requirements and lack of issue escalation. It then describes quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional quality assurance topics such as quality management systems and standards.
This document provides information about quality management courses in Ireland, including an overview of courses offered. It discusses a 1-day introduction course, a 2-day implementation course, and a 3-day lead auditor course that provide an overview of ISO 9001 requirements. Quality management tools are also summarized, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related quality management topics.
This document provides information about quality management system courses, including who they are for, topics covered, duration, and requirements for certification. It also lists several quality management tools commonly used in such courses, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics that can be downloaded as PDFs are also listed.
This document provides information about quality management statement templates including examples of quality management statements and tools. It discusses six commonly used quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Examples and descriptions are given for each tool. Additional related topics on quality management are also listed.
This document provides an overview of Juran quality management including:
- Key concepts and approaches of Juran quality management focusing on applying managerial, technological, statistical, and behavioral actions throughout an organization.
- A list of quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that are used to monitor and improve processes.
- Additional topics related to Juran quality management such as quality management systems, courses, standards, and strategies that are available for reference in PDF downloads.
This document provides an overview of quality management systems and some related tools. It defines a quality management system as the total processes, people, controls and goals that work to produce outputs that meet specifications. It then discusses six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. Each tool is briefly defined and its purpose in quality control is explained. Finally, the document lists additional quality management related topics and provides links to download further information.
The document provides information about becoming a Certified Quality Management Professional, including an overview of a certificate program made up of 5 modules that teaches skills like Total Quality Management, Statistical Process Control, and ISO 9001. It also describes 6 common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics like quality management systems, courses, and standards are also listed.
An investment in quality management systems (QMS) software can help organizations achieve both superior quality and reduced costs by enabling automated, interactive quality control processes tailored to each organization. TrackWise by Sparta Systems is an enterprise QMS that optimizes quality, ensures compliance and reduces costs and risks across industries. The document then discusses several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional topics related to quality management systems.
This document provides an overview of quality management and introduces several quality management tools. It discusses the history and benefits of ISO 9001 quality management systems. It also lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional links are provided for free quality management resources.
This document discusses 7 tools of quality management including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and stratification. It provides descriptions of each tool, what it is used for, how it is constructed and how data is analyzed from it. Examples are given for some of the tools. Additional links are provided to other quality management resources such as ebooks, forms, templates, KPIs and interview questions related to quality management systems.
This document provides an overview of product quality management including definitions, key components, and common tools. Product quality management aims to control and manage product quality data across an organization. It includes quality planning, control, assurance, and improvement. Common tools discussed are check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools help track defects, reduce costs, monitor processes, and identify improvement opportunities. The document also provides additional resources on related quality management topics.
The document discusses quality management in project management. It provides an overview of quality management principles and guidelines for ensuring quality in projects based on ISO 10006. It also lists and describes several common quality management tools used in projects, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Finally, it mentions some additional topics related to quality management that have downloadable PDF resources.
This document provides information about quality management certificates, including the contents and curriculum of a quality management certificate program. The certificate program covers quality tools, quality management, and six sigma quality improvement methods. It is designed to provide skills at the green belt level and prepare students for the ASQ six sigma certification. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
The document discusses project quality management tools and resources. It provides an overview of quality management principles and how they can be applied to project management. Specific quality management tools are described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to plan, assure, and control quality on projects. Additional related topics like quality management systems, courses, and standards are also listed.
The document discusses various quality control tools used to identify issues, analyze causes, and monitor processes. It provides descriptions and examples of seven key QC tools: Pareto diagram, cause-and-effect diagram, histogram, scatter diagram, check sheet, control chart, and graph/flow chart. These tools can help objectively assess situations, identify problem areas, determine relationships between factors, and maintain process stability. The document emphasizes that collecting data and practicing the use of these tools is important for effectively solving problems and improving processes.
This document provides information and resources about quality management policy examples including templates, tools, and strategies. It includes a sample quality management policy for a company that describes establishing a quality management system to ensure total customer satisfaction and continuous improvement. Various quality management tools are also defined such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related quality management topics.
This document provides information about courses in quality management. It discusses the purpose and target group of quality management courses. The purpose is to equip employees with knowledge of total quality management and methods/techniques for improving quality. The target group includes any employees involved with quality management. The document also describes several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It lists additional quality management topics covered in related materials available for download.
This document discusses quality software project management. It provides an overview of useful tools, strategies, and resources for quality software project management including forms, ebooks, templates, KPIs, and interview questions. It also summarizes the contents of a book on quality software project management that discusses best practices, the software development lifecycle, and case studies. Finally, it lists and briefly describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others.
This document provides information on 7 QC tools used for problem solving. It discusses tools such as why-why analysis, check sheets, control charts, histograms, scatter diagrams, cause and effect diagrams, Pareto diagrams and stratification. For each tool, it provides a definition, examples of when and how it is used, and the type of results that can be obtained from its use, such as identifying root causes, variations in data, and processes that are out of control. The tools are part of a library of problem solving techniques and aim to help users collect and analyze data to solve problems in a systematic manner.
This document discusses quality management metrics and provides resources for learning more. It introduces six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can help quality managers measure and improve processes through data collection and identifying sources of variation. The document also lists additional quality management topics and provides links to download related materials.
This document discusses quality assurance project management. It provides resources on quality assurance project management forms, tools, and strategies. It also lists quality management KPIs, job descriptions, and interview questions. The document discusses reasons for project failures such as unclear requirements and lack of issue escalation. It then describes quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional quality assurance topics such as quality management systems and standards.
This document provides information about quality management courses in Ireland, including an overview of courses offered. It discusses a 1-day introduction course, a 2-day implementation course, and a 3-day lead auditor course that provide an overview of ISO 9001 requirements. Quality management tools are also summarized, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related quality management topics.
This document provides information about quality management system courses, including who they are for, topics covered, duration, and requirements for certification. It also lists several quality management tools commonly used in such courses, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics that can be downloaded as PDFs are also listed.
This document provides information about quality management statement templates including examples of quality management statements and tools. It discusses six commonly used quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Examples and descriptions are given for each tool. Additional related topics on quality management are also listed.
This document provides an overview of Juran quality management including:
- Key concepts and approaches of Juran quality management focusing on applying managerial, technological, statistical, and behavioral actions throughout an organization.
- A list of quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that are used to monitor and improve processes.
- Additional topics related to Juran quality management such as quality management systems, courses, standards, and strategies that are available for reference in PDF downloads.
This document provides an overview of quality management systems and some related tools. It defines a quality management system as the total processes, people, controls and goals that work to produce outputs that meet specifications. It then discusses six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. Each tool is briefly defined and its purpose in quality control is explained. Finally, the document lists additional quality management related topics and provides links to download further information.
The document provides information about becoming a Certified Quality Management Professional, including an overview of a certificate program made up of 5 modules that teaches skills like Total Quality Management, Statistical Process Control, and ISO 9001. It also describes 6 common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics like quality management systems, courses, and standards are also listed.
An investment in quality management systems (QMS) software can help organizations achieve both superior quality and reduced costs by enabling automated, interactive quality control processes tailored to each organization. TrackWise by Sparta Systems is an enterprise QMS that optimizes quality, ensures compliance and reduces costs and risks across industries. The document then discusses several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes with additional topics related to quality management systems.
This document provides an overview of quality management and introduces several quality management tools. It discusses the history and benefits of ISO 9001 quality management systems. It also lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional links are provided for free quality management resources.
This document discusses 7 tools of quality management including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and stratification. It provides descriptions of each tool, what it is used for, how it is constructed and how data is analyzed from it. Examples are given for some of the tools. Additional links are provided to other quality management resources such as ebooks, forms, templates, KPIs and interview questions related to quality management systems.
This document provides an overview of product quality management including definitions, key components, and common tools. Product quality management aims to control and manage product quality data across an organization. It includes quality planning, control, assurance, and improvement. Common tools discussed are check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools help track defects, reduce costs, monitor processes, and identify improvement opportunities. The document also provides additional resources on related quality management topics.
The document discusses quality management in project management. It provides an overview of quality management principles and guidelines for ensuring quality in projects based on ISO 10006. It also lists and describes several common quality management tools used in projects, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Finally, it mentions some additional topics related to quality management that have downloadable PDF resources.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
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How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
2. 2
What are 7 QC Tools ?
QC tools are the means for Colleting data ,
analyzing data , identifying root causes and
measuring the results.
THESE TOOLS ARE RELATED TO
Numerical DATA processing
USER HAS TO DEVELOP THE
SOLUTION & IMPLEMENT
4. 4
Process control
( Standardization )
Evaluation of result
Implementation
Develop
Improvement
method
( Solution )
Detecting causes of
problem
Record of facts
Defining the
problem
Identification of
problem
Control
Chart
Scatter
Diagram
Histogra
m
Cause &
Effect
Diagram
Pareto
Diagra
m
Stratifi
cation
Check
sheet
Graphs
Application of QC tools in Problem Solving
5. 5
Pareto Diagram
1. What is Pareto diagram ?
A Pareto diagram is a combination of bar and line graphs of
accumulated data, where data associated with a problem
(e.g., a defect found, mechanical failure, or a complaint
from a customer) are divided into smaller groups by cause
or by phenomenon and sorted, for example, by the number
of occurrences or the amount of money involved. (The
name “Pareto” came from an Italian mathematician who
created the diagram.)
6. 6
Pareto Diagram
2. When is it used and what results will be obtained?
Please refer to the table on next slide for the
usage and benefits of a Pareto diagram. It is
mainly used to prioritize matters, and because
of its easiness of use, the diagram is used in a
wide variety of fields.
7. 7
Pareto Diagram
Pareto Diagram
(No. of Occurrences)
Pareto Diagram
Pareto Diagram
(No. of Occurrences)
Used to prioritize
actions.(Used during
phases to monitor the
situation, analyze causes,
and review effectiveness of
an action.)
Used to identify a problem.
Used to identify the cause of
a problem.
Used to review the effects of
an action to be taken.
Allows clarification of
important tasks.
Allows identification
of a starting point
(which task to start
with).
Allows projection of
the effects of a measure
to be taken
Method Usage Result
Pareto Diagram
8. 8
Pareto Diagram
To identify a course of
action to be emphasized
using a variety of data.
Example
Assessment using Pareto
diagram (prioritization)
Confirmation of Effect
(Comparison)
Details of “ A”
Frequently used to check
the effect of an
improvement.
Improved
9. 9
Stratification
1. What is Stratification ?
Stratification means to “divide the whole into smaller portions
according to certain criteria.” In case of quality control,
stratification generally means to divide data into several groups
according to common factors or tendencies (e.g., type of defect
and cause of defect).
Dividing into groups “fosters understanding of a situation.”
This represents the basic principle of quality control.
10. 10
Stratification
2. When is it used and what results will be obtained?
The “common and basic principle” of quality control is
stratification, i.e., to think a matter out by breaking it
into smaller portions. Stratification has a number of
useful purposes. The table below shows only a few
examples of these purposes.
11. 11
Method Usage Result
Stratification
Grouping by day,
time, place,
worker, or
process
X
Y
Z
Number of Units
★★★★★★★
△△△△
○○○
•Used to observe variations
among strata.
•Used to identify the
relationship between cause
and effect.
•Used to identify a purpose
and means to serve the
purpose
[Used during phases to monitor
the situation, analyze causes,
review effectiveness of an action,
perform standardization, and
implement a selected control
measure.]
•Allows observation
of variations among
strata.
•By performing a
cause analysis using
the stratified data,
the following can be
accomplished.
1.Identification and control of a
problem
2.“Division of data (obtained by
using each QC tool) into several
groups”
12. 12
Stratification
Item Method of Stratification
Elapse of time
Hour, a.m., p.m., immediately after start of work,
shift, daytime, nighttime, day, week, month
Variations among workers
Worker, age, male, female, years of experience,
shift, team, newly employed, experienced worker
Variations among work
methods
Processing method, work method, working
conditions (temperature, pressure, and speed),
temperature
Variations among
measurement/inspection
methods
Measurement tool, person performing
measurement, method of measurement, inspector,
sampling, place of inspection
13. 13
Scatter Diagram
1. What is Scatter Diagram ?
A scatter diagram is used to “examine the relationship between
the two, paired, interrelated data types, ” such as “height and
weight of a person.” A scatter diagram provides a means to
find whether or not these two data types are interrelated. It is
also utilized to determine how closely they are related to
identify a problem point that should be controlled or improved.
14. 14
Scatter Diagram
2. When is it used and what results will be obtained?
The table on next slide shows some examples of
scatter diagram’s usage. If, for example, there is a
relationship where “an increase in the number of
rotations (x) causes an increase in abrasion (y),” there
exists “positive correlation.” If, on the other hand, the
existence of a relationship where “an increase in the
number of rotations (x) causes a decline in abrasion
(y)” indicates that there is “negative correlation.”
15. 15
Method Usage Result
Scatter Diagram
•Used to identify a relationship
between two matters.
•Used to identify a relationship
between two matters and establish
countermeasures based on their
cause and effect relation.
Example Usage
1.Relationship between thermal
treatment temperature of a steel
material and its tensile strengths
2.Relationship between visit made
by a salesman and volume of sales
3.Relationship between the number
of persons visiting a department
store and volume of sales
4 Others
Scatter Diagram
Scatter Diagram
y Axis
x Axis
Abrasion
Number of
Rotations
Scatter Diagram
Scatter Diagram
y Axis
x Axis
Abrasion
Number of
Rotations
[Used during phases to monitor the
situation, analyze causes, and review
effectiveness of an action.]
•Can identify cause
and effect relation.
•Can understand the
relationship
between two
results.
17. 17
Cause & Effect Diagram
1. What is Cause & effect Diagram ?
A cause and effect diagram is “a fish-bone diagram that
presents a systematic representation of the relationship
between the effect (result) and affecting factors (causes).”
Solving a problem in a scientific manner requires
clarification of a cause and effect relationship, where the
effect (e.g., the result of work) varies according to factors
(e.g., facilities and machines used, method of work, workers,
and materials and parts used). To obtain a good work result,
we must identify the effects of various factors and develop
measures to improve the result accordingly.
18. 18
Cause & Effect Diagram
2. When is it used and what results will be obtained?
A cause and effect diagram is mainly used to study
the cause of a certain matter. As mentioned above,
the use of a cause and effect diagram allows
clarification of causal relation for efficient problem
solving. It is also effective in assessing measures
developed and can be applied to other fields
according to your needs.
19. 19
Can obtain a clear
overall picture of causal
relation. (A change in
the cause triggers a
variation in the
result.)○ Can clarify
the cause and effect
relationship.
Can list up all causes
to identify important
causes.
Can determine the
direction of action
(countermeasure).
Method Usage Result
Cause & Effect Diagram
Used when
clarifying a cause
and effect
relationship.[Used
during a phase to
analyze causes.]
Used to develop
countermeasures.
[Used during a phase to plan
countermeasures.]
Material Method
Man
Machine
Cause (4M’s) Result
(Controlled State)
Effect
Cause and Effect
Cause and Effect
Diagram
Diagram
Material Method
Man
Machine
Cause (4M’s) Result
(Controlled State)
Effect
Cause and Effect
Cause and Effect
Diagram
Diagram
20. 20
Cause & Effect Diagram
Mechanism of
Copying Machine
Quality of
Copying Paper
User Surrounding
Environment
Smudges on the
copied surface
Internal devices not
working smoothly
Malfunction of
the roller
Printing too
lightly
Too thin
Folded
Running out
of stock
Dampened
Keyboard handling
error
Error in selecting a
scale of reduction
Error in
placement of
paper (setting
its face up)
Error in
selecting
shading
Deterioration of
performance due
to high
temperatures
Nicotine-
stained
Dirt on the
glass
surface
Dust
Many
Copying
Errors!
Mechanism of
Copying Machine
Quality of
Copying Paper
User Surrounding
Environment
Smudges on the
copied surface
Internal devices not
working smoothly
Malfunction of
the roller
Printing too
lightly
Too thin
Folded
Running out
of stock
Dampened
Keyboard handling
error
Error in selecting a
scale of reduction
Error in
placement of
paper (setting
its face up)
Error in
selecting
shading
Deterioration of
performance due
to high
temperatures
Nicotine-
stained
Dirt on the
glass
surface
Dust
Many
Copying
Errors!
21. 21
Histogram
1. What is Histogram ?
When creating a histogram, “a range of data is divided into
smaller sections having a uniform span,and the number of data
contained in each section (the number of occurrences) is
counted to develop a frequency distribution table.” Then, “a
graph is formed from this table by using vertical bars, each
having the height proportional to the number of occurrences in
each section.”
22. 22
Histogram
2. When is it used and what results will be obtained?
A histogram is mainly used to analyze a process by
examining the location of the mean value in the
graph or degree of variations, to find a problem point
that needs to be improved. Its other applications are
listed in the table below.
23. 23
Method Usage Result
Histogram
Histogram
Histogram
Standard
Range
Range of
Variations
X Axis (Values
Actually
Measured)
Histogram
Histogram
Standard
Range
Range of
Variations
X Axis (Values
Actually
Measured)
•Used to assess the actual
conditions.
•Used to analyze a process to
identify a problem point that needs
to be improved by finding the
location of the mean value or
degree of variations in the graph.
•Used to examine that the target
quality is maintained throughout
the process.
•Others
[Used during phases to
monitor the situation, analyze
causes, and review
effectiveness of an action.]
•Can identify the
location of the mean
(central) value or
degree of variations.
•Can find out the scope
of a defect by inserting
standard values.
•Can identify the
condition of
distribution (e.g.,
whether there is an
isolated, extreme
value).
24. 24
Histogram
Frequency Distribution Table
Cutting Length of Steel Wire]
Standard
Lower Limit Upper Limit
Standard
Standard Value
Product
[Histogram of Cutting Length of Steel
Wire]
(Standard: 255 5 mm)
±
Section
Frequency Marking Occurrences
Mean
25. 25
Check Sheet
1. What is Check sheet ?
A check sheet is “a sheet designed in advance to allow easy
collection and aggregation of data.” By just entering check
marks on a check sheet, data can be collected to extract
necessary information, or a thorough inspection can be
performed in an efficient manner, eliminating a possibility
of skipping any of the required inspection items.
A check sheet is also effective in performing stratification
(categorization).
26. 26
Check Sheet
2. When is it used and what results will be obtained?
Please refer to the table on next slide for the usage
and benefits of a check sheet. It is frequently used in
daily business operations, often not specifically for
QC purposes.
27. 27
Ensures collection of
required data.
Allows a thorough
inspection of all check
items.
Can understand
tendencies and
variations.
Can record required
data.
Method Usage Result
Check Sheet
Check Sheet
Check Sheet
Day
Process
Process 1
Process 2
Process 3
Check Sheet
Check Sheet
Day
Process
Process 1
Process 2
Process 3
Used to collect
data.
Used when
performing a
thorough inspection.
Used during phases to monitor
the situation, analyze causes,
review effectiveness of an
action, perform
standardization, and
implement a selected control
measure
28. 28
Check Sheet
A check sheet used to identify defects
Date
Defect
Vertical Scratch
Scratch
Dent
Total
Date
Defect
Vertical Scratch
Scratch
Dent
Total
29. 29
Control Chart (Control Chart / Graph 1)
1. What is Control Chart ?
A control chart is used to examine a process to see if
it is stable or to maintain the stability of a process.
This method is often used to analyze a process. To
do so, a chart is created from data collected for a
certain period of time, and dots plotted on the chart
are examined to see how they are distributed or if they
are within the established control limit. After some
actions are taken to control and standardize various
factors, this method is also used to examine if a
process is stabilized by these actions, and if so, to
keep the process in a stable state.
30. 30
Control Chart
2. When is it used and what results will be obtained?
There are two types of control charts: one used for
managerial purposes and the other for analytical
purposes. A control chart is used to identify dots that
are outside the control limit, which indicate some
anomalies in a process. In addition, seven
consecutive dots showing values that are below or
above the mean (central) value, or an increment or a
decline represented by seven consecutive dots also
indicate “a problem in a process.”
We need to examine what has caused such a
tendency or an increment/decline.
31. 31
Method Usage Result
Control Chart
Control Chart
Control Chart
x-R Control Chart
Control Chart
Control Chart
x-R Control Chart
[Used during phases to
monitor the situation,
analyze causes, review
effectiveness of an
action, perform
standardization, and
implement a selected
control measure
Used to observe a
change caused by
elapse of time.
In the example “x bar ” -R
control chart, “X bar”
represents the central value,
while “R” indicates the range.
Can identify a change
caused by elapse of
time.
Can judge the
process if it is in its
normal state or there
are some anomalies
by examining the dots
plotted on the chart.
Control Chart for Managerial Purposes: Extends the line indicating the control limit used for analytical purposes to
plot data obtained daily to keep a process in a good state.
Control Chart for Analytical Purposes: Examines a process if it is in a controlled state by collecting data for a certain
period of time. If the process is not controlled, a survey is performed to identify its cause and develop
countermeasures.
32. 32
Control Chart
x- Control Chart
Group Number
Examples of Values
Represented byDots
Values above the
control limit
represented by
seven
consecutive dots
A decline
represented by
seven
consecutive dots
x- Control Chart
Group Number
Examples of Values
Represented byDots
Values above the
control limit
represented by
seven
consecutive dots
A decline
represented by
seven
consecutive dots
33. 33
Graph
1. What is Graph ?
A graph is “a graphical representation of data, which allows a
person to understand the meaning of these data at a glance.”
Unprocessed data simply represent a list of numbers, and
finding certain tendencies or magnitude of situation from these
numbers is difficult, sometimes resulting in an interpretational
error. A graph is a effective means to monitor or judge the
situation, allowing quick and precise understanding of the
current or actual situation.
A graph is a visual and summarized representation of data that
need to be quickly and precisely conveyed to others.
34. 34
Graph
2. When is it used and what results will be obtained?
A graph, although it is listed as one of the QC tools, is
commonly used in our daily life and is the most
familiar means of assessing a situation.
35. 35
Method Usage Result
Graph
0
20
40
60
80
100
120
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
East
1st Qtr
13%
2nd Qtr
17%
3rd Qtr
57%
4th Qtr
13%
Changes in a time-sequential
order – line graph
Amounts – bar graph, etc.
Ratios – pie graph, band
chart, etc.
(The items listed above are
representative examples.)
Can observe changes in
a time-sequential order,
ratios, and amounts.
A graphs is the most
frequently used tool to
examine the various
matters such as those
listed on the left.
37. 37
• Pareto Diagram To identify the current status and issues
• Stratification Basic processing performed when
collecting data
• Scatter Diagram To identify the relationship between two
things
• Cause and Effect Diagram
To identify the cause and effect relationship
• Histogram To see the distribution of data
• Check Sheet To record data collection
• Control Chart/Graph To find out abnormalities and identify the
current status
To sum up 7 QC tools (Numerical data ) are used as follow: