This document discusses quality management KPIs (key performance indicators) that factories can use to measure and improve product quality. It provides examples of important KPIs like customer complaints, defect percentage levels, and right first time quality. The document also lists several quality management tools that can be used, such as control charts, Pareto charts, scatter plots, and histograms. Additional links are provided for free quality management resources.
This document discusses key performance indicators (KPIs) for quality assurance roles. It provides information on developing KPIs, including defining objectives, identifying key result areas and tasks, and determining methods to measure results. The document outlines common mistakes in creating KPIs, such as having too many KPIs not linked to key result areas. It also describes different types of KPIs, such as process, input, output, leading, lagging, outcome, qualitative and quantitative KPIs. Additional resources on KPIs can be found at the provided website.
The document discusses establishing metrics and key performance indicators (KPIs) for quality management. It outlines a formula called SUCCESSFUL which involves setting business goals, understanding department impacts, choosing business processes, creating process goals, examining metrics, standardizing measurements, integrating data sources, and establishing indicators and thresholds. Useful metrics discussed include defect removal efficiency, test case effectiveness, traceability, code coverage, and defects by severity, status, and root cause. Baselines are suggested for starting metrics tracking.
The A3 Report poster describes the A3 problem solving process from problem identification to resolution in a fashion that fosters learning, collaboration, and personal development.
The poster comes in four themes: light, dark, color and monochrome. Formatted in PDF and in editable PPTX, the poster can be easily printed on an A3-sized paper from an office copier machine and displayed on employee workstations, or distributed together with your workshop handouts.
The A3 Report poster complements your A3 Problem Solving training presentation materials. It serves as a takeaway and summary of your process improvement presentation.
The A3 problem solving process structure includes eight elements:
1. Theme - Concise statement of what this A3 report is about.
2. Background - Relevant historical data and information.
3. Current Condition - Detailed description of the current situation (e.g. process flow, trend chart, Pareto analysis, gap identification and problem statement).
4. Goal Statement - Specific goal to address the gap or future state from the current state.
5. Analysis - Depiction of analytical techniques to uncover the root causes of the problem or factors that affect the problem in the current state.
6. Countermeasures - A summary of who will do what by when in order to resolve the problem situation or achieve the future state.
7. Check Results - Quantitative comparison of actual results versus your goal.
8. Follow Up - Summary of follow up action items (e.g. lessons learned, communication to other parties, training, standardization, or other areas).
The metrics that matter using scalability metrics for project planning of a d...Mary Chan
Have you expanded your organization across multiple locations, or are you a client that utilizes external partners that provide outsourcing services? Both have their "cost savings" challenge where cost savings analysis is often a topic well scrutinized. However, in the grand scheme of your organization, is it a metric that really matters? See actual analytics on multiple game projects and why cost savings isn't as important a metric when making informed decisions about project planning for scalable and distributed development. It's all about the Metrics that Matter.
The document provides an overview of ISO 9001 for beginners, explaining the history and development of the quality management standard, how it establishes consistent global standards for companies, and includes various quality tools and additional topics related to ISO 9001 certification requirements.
This document introduces seven quality tools that can help with data collection and analysis: flowcharts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts. Each tool is briefly described and its benefits are listed. Flowcharts map out process steps to improve understanding. Check sheets create easy-to-interpret data. Histograms show data distributions and capabilities. Pareto diagrams identify the most impactful causes. Cause-and-effect diagrams organize variable relationships. Scatter diagrams test relationships. And control charts monitor process performance over time.
The document discusses various quality management tools and techniques, including Pareto charts, histograms, cause-effect diagrams, flowcharts, check sheets, scatter diagrams, and control charts. It explains how each tool is used to identify and address issues that impact quality, costs, and process performance in order to continually improve processes and products/services. Implementing these tools effectively as part of a total quality management system can help organizations reduce waste, lower costs, enhance quality, and gain a competitive advantage.
The document discusses process mapping techniques to analyze a company's current ("As-Is") processes and design improved future ("To-Be") processes. It covers identifying process steps, mapping workflows, analyzing inefficiencies, defining metrics, and implementing improvements through a Plan-Do-Study-Act cycle. The goal is to understand processes, find opportunities for streamlining, and establish a shared understanding of work across departments.
This document discusses key performance indicators (KPIs) for quality assurance roles. It provides information on developing KPIs, including defining objectives, identifying key result areas and tasks, and determining methods to measure results. The document outlines common mistakes in creating KPIs, such as having too many KPIs not linked to key result areas. It also describes different types of KPIs, such as process, input, output, leading, lagging, outcome, qualitative and quantitative KPIs. Additional resources on KPIs can be found at the provided website.
The document discusses establishing metrics and key performance indicators (KPIs) for quality management. It outlines a formula called SUCCESSFUL which involves setting business goals, understanding department impacts, choosing business processes, creating process goals, examining metrics, standardizing measurements, integrating data sources, and establishing indicators and thresholds. Useful metrics discussed include defect removal efficiency, test case effectiveness, traceability, code coverage, and defects by severity, status, and root cause. Baselines are suggested for starting metrics tracking.
The A3 Report poster describes the A3 problem solving process from problem identification to resolution in a fashion that fosters learning, collaboration, and personal development.
The poster comes in four themes: light, dark, color and monochrome. Formatted in PDF and in editable PPTX, the poster can be easily printed on an A3-sized paper from an office copier machine and displayed on employee workstations, or distributed together with your workshop handouts.
The A3 Report poster complements your A3 Problem Solving training presentation materials. It serves as a takeaway and summary of your process improvement presentation.
The A3 problem solving process structure includes eight elements:
1. Theme - Concise statement of what this A3 report is about.
2. Background - Relevant historical data and information.
3. Current Condition - Detailed description of the current situation (e.g. process flow, trend chart, Pareto analysis, gap identification and problem statement).
4. Goal Statement - Specific goal to address the gap or future state from the current state.
5. Analysis - Depiction of analytical techniques to uncover the root causes of the problem or factors that affect the problem in the current state.
6. Countermeasures - A summary of who will do what by when in order to resolve the problem situation or achieve the future state.
7. Check Results - Quantitative comparison of actual results versus your goal.
8. Follow Up - Summary of follow up action items (e.g. lessons learned, communication to other parties, training, standardization, or other areas).
The metrics that matter using scalability metrics for project planning of a d...Mary Chan
Have you expanded your organization across multiple locations, or are you a client that utilizes external partners that provide outsourcing services? Both have their "cost savings" challenge where cost savings analysis is often a topic well scrutinized. However, in the grand scheme of your organization, is it a metric that really matters? See actual analytics on multiple game projects and why cost savings isn't as important a metric when making informed decisions about project planning for scalable and distributed development. It's all about the Metrics that Matter.
The document provides an overview of ISO 9001 for beginners, explaining the history and development of the quality management standard, how it establishes consistent global standards for companies, and includes various quality tools and additional topics related to ISO 9001 certification requirements.
This document introduces seven quality tools that can help with data collection and analysis: flowcharts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts. Each tool is briefly described and its benefits are listed. Flowcharts map out process steps to improve understanding. Check sheets create easy-to-interpret data. Histograms show data distributions and capabilities. Pareto diagrams identify the most impactful causes. Cause-and-effect diagrams organize variable relationships. Scatter diagrams test relationships. And control charts monitor process performance over time.
The document discusses various quality management tools and techniques, including Pareto charts, histograms, cause-effect diagrams, flowcharts, check sheets, scatter diagrams, and control charts. It explains how each tool is used to identify and address issues that impact quality, costs, and process performance in order to continually improve processes and products/services. Implementing these tools effectively as part of a total quality management system can help organizations reduce waste, lower costs, enhance quality, and gain a competitive advantage.
The document discusses process mapping techniques to analyze a company's current ("As-Is") processes and design improved future ("To-Be") processes. It covers identifying process steps, mapping workflows, analyzing inefficiencies, defining metrics, and implementing improvements through a Plan-Do-Study-Act cycle. The goal is to understand processes, find opportunities for streamlining, and establish a shared understanding of work across departments.
The document discusses the Contributing and Causal (C&E) Matrix, which is used to identify contributing and causal factors of adverse events. The C&E Matrix involves defining the effect, identifying major categories, generating and evaluating ideas for causes, voting on the most likely causes, and recommending solutions. It provides a visual means to trace a problem to its causes and gain different perspectives from sharing ideas with others. The process outputs are rated based on importance, then input variables are rated on their relationship to the outputs to start a Failure Modes and Effects Analysis (FMEA) process.
The document provides a framework and tools for effectively solving client issues. It outlines steps such as defining the issue, formulating hypotheses, collecting relevant facts, performing analysis to test hypotheses, and determining the viability of solutions. Various techniques are described for each step, including root cause analysis, surveys, brainstorming, interviews, and impact analysis tools like scenario planning and cost-benefit analysis. The goal is to follow a logical, systematic process to correctly identify and resolve client problems.
Quality control is a process that is used to ensure a certain level of quality in a product or service. It might include whatever actions a business deems necessary to provide for the control and verification of certain characteristics of a product or service. Most often, it involves thoroughly examining and testing the quality of products or the results of services. The basic goal of this process is to ensure that the products or services that are provided meet specific requirements and characteristics, such as being dependable, satisfactory, safe and fiscally sound.
Check sheet
Control chart
Histogram
Ishikawa Diagram
Pareto Chart
Scatter diagram
Flow chart
The document provides an overview of quality management for beginners, including definitions and examples of common quality management tools such as check sheets, control charts, Pareto charts, scatter plots, and histograms. It also gives steps for implementing quality control standards and obtaining ISO certification. Additional resources on topics like quality management systems, courses, and standards are listed.
The document discusses quality control (QC) tools and techniques. It describes the 7 main QC tools as cause and effect diagrams, Pareto diagrams, graphs, check sheets, histograms, scatter diagrams, and control charts. It also discusses 7 additional QC tools and various statistical and other QC methods. Finally, it outlines a 6-step process for using QC tools that involves establishing objectives, selecting a tool, collecting and analyzing data, considering results, and acting on conclusions. QC tools are presented as aids that can be used within the standard QC 7-step problem-solving formula.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
This document provides an overview and instructions for using the 7 Quality Control tools: check sheets, stratification, Pareto charts, cause-and-effect (fishbone) diagrams, histograms, control charts, and scatter diagrams. It describes the objective, rules, background and importance of each tool. For each tool, it addresses the purpose, when to use it, procedure, and benefits. The overall goal is to present these tools to address problem solving and quality improvement through structured data collection and analysis.
Total Quality Management (TQM) tools help organizations identify, analyze, and assess qualitative and quantitative data relevant to their business. These tools include charts, diagrams, brainstorming, checklists and more. They can identify issues, illustrate complicated information, and enhance effectiveness and quality when used properly. Some common TQM tools are pie charts, histograms, run charts, Pareto charts, flowcharts and cause-and-effect diagrams. Organizations should use multiple tools together to fully understand issues, as single tools may provide an incomplete picture or close off possibilities.
The document discusses process mapping and its benefits. Process mapping identifies all process steps, inputs, outputs and process parameters. It is used to identify possible "hidden factories" or sources of variation. Process mapping classifies inputs as controllable, noise or standard operating procedures. It helps scope improvement projects and document the current process.
http://qualitymanagementsystem.com/quality-management-software/quality-management-software-beginners-guide/
Quality Management Software can be a great way to streamline many of the tedious tasks associated with using a Quality Management System (QMS) for continual organizational improvement. The can help with critical document and record control as well as data processing and business intelligence.
This document discusses various tools used in the improvement and control phases of quality management. In the improvement phase, tools like brainstorming, flow charts, Pareto charts, failure mode and effects analysis, stakeholder analysis, single minute exchange of dies, benchmarking, design of experiments, 5S's method, and kaizen are explained. In the control phase, control charts, standard operating procedures, standardization, and statistical process control are some of the tools discussed along with their purpose and examples. References used for the information are also listed.
This document discusses types of quality management. It provides an overview of quality management goals and challenges balancing quality with project overhead costs. It then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists other related quality management topics and links to downloadable PDF resources.
Six Sigma is a data-driven approach to improving processes by identifying and removing defects. It aims for near perfect process quality. The goal is to improve end products or services by reducing errors. Six Sigma refers to producing only 3.4 defective parts per million.
Motorola first introduced Six Sigma in the 1970s to address quality issues. It connects quality improvement to cost reduction. The concepts were officially formulated in 1986 and have grown in popularity since. Six Sigma uses two methods: DMAIC for improving existing processes and DMADV for designing new defect-free processes. It is applied across entire organizations rather than just specific teams.
The document then provides a case study example of a company using the DMAIC
This document outlines a process framework for continuous business process improvement. It discusses identifying best practices, analyzing the current ("As Is") state and envisioning an improved ("To Be") state. Two approaches are business process improvement, which simplifies and optimizes existing processes, and business process reengineering, which radically redesigns processes from scratch. Principles for improvement include simplifying processes, using metrics to test changes, minimizing hand-offs, integrating tasks, leveraging IT, working backwards from outputs to inputs, establishing clear ownership, and viewing processes from the customer perspective. The document also lists information needed to map processes, such as responsibilities, key performance indicators, activities, inputs/outputs, suppliers, customers, and volumes.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
Explanation of the seven basic tools used to solve a variety of quality-related issues. They are suitable for people with little formal training in statistics.
This document provides information about quality assurance management systems including common tools used for quality assurance like check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. It also discusses ISO 9001 quality assurance certification and how Compliancehelp can help businesses achieve certification in a streamlined way. Key details covered include quality assurance forms and strategies, free resources on quality management, and tips for implementing an effective quality assurance system.
Total Quality Management (TQM) refers to a quality emphasis throughout the entire organization from suppliers to customers. The operations manager plays a key role in addressing service quality, including the tangible aspects, processes, customer expectations, and exceptions. TQM utilizes various statistical process control tools such as check sheets, scatter diagrams, cause-and-effect diagrams, Pareto charts, flow charts, histograms, and control charts to measure quality, identify issues and inspection points, prioritize problems, and monitor processes over time.
This document discusses quality management system templates and provides related resources. It describes templates that can be used to develop policies, procedures, work instructions and other documents needed for a quality management system. The templates are in Microsoft Word format and are designed to help companies comply with standards like ISO 13485 for medical devices. The templates cover key areas like product development, production, monitoring, management review and continual improvement. The document also lists six common quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms.
Definition of the Key Performance Indicators + infographics, explaining types of KPIs and data visualization.
Originally posted here with the article: https://www.kpi.com/blog/2016/02/03/intro-to-key-performance-indicators-infographic/
The document discusses the Contributing and Causal (C&E) Matrix, which is used to identify contributing and causal factors of adverse events. The C&E Matrix involves defining the effect, identifying major categories, generating and evaluating ideas for causes, voting on the most likely causes, and recommending solutions. It provides a visual means to trace a problem to its causes and gain different perspectives from sharing ideas with others. The process outputs are rated based on importance, then input variables are rated on their relationship to the outputs to start a Failure Modes and Effects Analysis (FMEA) process.
The document provides a framework and tools for effectively solving client issues. It outlines steps such as defining the issue, formulating hypotheses, collecting relevant facts, performing analysis to test hypotheses, and determining the viability of solutions. Various techniques are described for each step, including root cause analysis, surveys, brainstorming, interviews, and impact analysis tools like scenario planning and cost-benefit analysis. The goal is to follow a logical, systematic process to correctly identify and resolve client problems.
Quality control is a process that is used to ensure a certain level of quality in a product or service. It might include whatever actions a business deems necessary to provide for the control and verification of certain characteristics of a product or service. Most often, it involves thoroughly examining and testing the quality of products or the results of services. The basic goal of this process is to ensure that the products or services that are provided meet specific requirements and characteristics, such as being dependable, satisfactory, safe and fiscally sound.
Check sheet
Control chart
Histogram
Ishikawa Diagram
Pareto Chart
Scatter diagram
Flow chart
The document provides an overview of quality management for beginners, including definitions and examples of common quality management tools such as check sheets, control charts, Pareto charts, scatter plots, and histograms. It also gives steps for implementing quality control standards and obtaining ISO certification. Additional resources on topics like quality management systems, courses, and standards are listed.
The document discusses quality control (QC) tools and techniques. It describes the 7 main QC tools as cause and effect diagrams, Pareto diagrams, graphs, check sheets, histograms, scatter diagrams, and control charts. It also discusses 7 additional QC tools and various statistical and other QC methods. Finally, it outlines a 6-step process for using QC tools that involves establishing objectives, selecting a tool, collecting and analyzing data, considering results, and acting on conclusions. QC tools are presented as aids that can be used within the standard QC 7-step problem-solving formula.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
This document provides an overview and instructions for using the 7 Quality Control tools: check sheets, stratification, Pareto charts, cause-and-effect (fishbone) diagrams, histograms, control charts, and scatter diagrams. It describes the objective, rules, background and importance of each tool. For each tool, it addresses the purpose, when to use it, procedure, and benefits. The overall goal is to present these tools to address problem solving and quality improvement through structured data collection and analysis.
Total Quality Management (TQM) tools help organizations identify, analyze, and assess qualitative and quantitative data relevant to their business. These tools include charts, diagrams, brainstorming, checklists and more. They can identify issues, illustrate complicated information, and enhance effectiveness and quality when used properly. Some common TQM tools are pie charts, histograms, run charts, Pareto charts, flowcharts and cause-and-effect diagrams. Organizations should use multiple tools together to fully understand issues, as single tools may provide an incomplete picture or close off possibilities.
The document discusses process mapping and its benefits. Process mapping identifies all process steps, inputs, outputs and process parameters. It is used to identify possible "hidden factories" or sources of variation. Process mapping classifies inputs as controllable, noise or standard operating procedures. It helps scope improvement projects and document the current process.
http://qualitymanagementsystem.com/quality-management-software/quality-management-software-beginners-guide/
Quality Management Software can be a great way to streamline many of the tedious tasks associated with using a Quality Management System (QMS) for continual organizational improvement. The can help with critical document and record control as well as data processing and business intelligence.
This document discusses various tools used in the improvement and control phases of quality management. In the improvement phase, tools like brainstorming, flow charts, Pareto charts, failure mode and effects analysis, stakeholder analysis, single minute exchange of dies, benchmarking, design of experiments, 5S's method, and kaizen are explained. In the control phase, control charts, standard operating procedures, standardization, and statistical process control are some of the tools discussed along with their purpose and examples. References used for the information are also listed.
This document discusses types of quality management. It provides an overview of quality management goals and challenges balancing quality with project overhead costs. It then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists other related quality management topics and links to downloadable PDF resources.
Six Sigma is a data-driven approach to improving processes by identifying and removing defects. It aims for near perfect process quality. The goal is to improve end products or services by reducing errors. Six Sigma refers to producing only 3.4 defective parts per million.
Motorola first introduced Six Sigma in the 1970s to address quality issues. It connects quality improvement to cost reduction. The concepts were officially formulated in 1986 and have grown in popularity since. Six Sigma uses two methods: DMAIC for improving existing processes and DMADV for designing new defect-free processes. It is applied across entire organizations rather than just specific teams.
The document then provides a case study example of a company using the DMAIC
This document outlines a process framework for continuous business process improvement. It discusses identifying best practices, analyzing the current ("As Is") state and envisioning an improved ("To Be") state. Two approaches are business process improvement, which simplifies and optimizes existing processes, and business process reengineering, which radically redesigns processes from scratch. Principles for improvement include simplifying processes, using metrics to test changes, minimizing hand-offs, integrating tasks, leveraging IT, working backwards from outputs to inputs, establishing clear ownership, and viewing processes from the customer perspective. The document also lists information needed to map processes, such as responsibilities, key performance indicators, activities, inputs/outputs, suppliers, customers, and volumes.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
Explanation of the seven basic tools used to solve a variety of quality-related issues. They are suitable for people with little formal training in statistics.
This document provides information about quality assurance management systems including common tools used for quality assurance like check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. It also discusses ISO 9001 quality assurance certification and how Compliancehelp can help businesses achieve certification in a streamlined way. Key details covered include quality assurance forms and strategies, free resources on quality management, and tips for implementing an effective quality assurance system.
Total Quality Management (TQM) refers to a quality emphasis throughout the entire organization from suppliers to customers. The operations manager plays a key role in addressing service quality, including the tangible aspects, processes, customer expectations, and exceptions. TQM utilizes various statistical process control tools such as check sheets, scatter diagrams, cause-and-effect diagrams, Pareto charts, flow charts, histograms, and control charts to measure quality, identify issues and inspection points, prioritize problems, and monitor processes over time.
This document discusses quality management system templates and provides related resources. It describes templates that can be used to develop policies, procedures, work instructions and other documents needed for a quality management system. The templates are in Microsoft Word format and are designed to help companies comply with standards like ISO 13485 for medical devices. The templates cover key areas like product development, production, monitoring, management review and continual improvement. The document also lists six common quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms.
Definition of the Key Performance Indicators + infographics, explaining types of KPIs and data visualization.
Originally posted here with the article: https://www.kpi.com/blog/2016/02/03/intro-to-key-performance-indicators-infographic/
This document discusses quality management in healthcare. It begins by defining quality and discussing concepts like quality assurance, quality control, and total quality management. It also covers patient safety, noting that a key goal is to "do the right thing for the right person the first time." Some key terms related to quality and patient safety are defined. The document asks questions about measuring quality and addressing different aspects of quality from various perspectives. It discusses certifications, accreditations, and dimensions of quality like effectiveness and efficiency. Overall, the document provides an overview of quality management approaches and considerations in healthcare.
The document outlines 10 dimensions of healthcare quality: availability & appropriateness; accessibility & affordability; equity & equality; technical competence & skills; timeliness & continuity; safety; respect & caring; efficiency; effectiveness & efficacy; and amenities. It also discusses 3 perspectives of healthcare quality - from healthcare staff, health managers, and clients. The overall purpose is to make staff aware of different aspects of quality management in healthcare to promote a culture of safety, professional practice, and compliance with quality standards.
The document discusses quality assurance in healthcare, including defining quality, measuring it through indicators, improving quality through approaches like total quality management and continual improvement, and ensuring quality through principles like transparency, evidence-based practice, and accountability. It also addresses important dimensions of quality like safety, effectiveness, efficiency, accessibility, and patient-centeredness.
Total Quality Management in HealthcareGunjan Patel
Now days, Healthcare systems are of fundamental interests to all level of Hospitals in our societies. Eventually, increasing importance and reliance are placed on total quality management in healthcare systems. Due to this rising importance that is also reflected in the increasing percentage of national and international resources for both private and public sector to allocated in hospital management systems. Hospitals and other healthcare organization across the globe have been progressively implementing TQM to reduce costs, improve efficiency and provide high quality patient care.
This document discusses key performance indicators (KPIs) for healthcare. It provides information on developing KPIs, including defining objectives, identifying key result areas and tasks, and determining methods to measure results. The document discusses common types of KPIs such as process, input, output, leading, and lagging KPIs. It also discusses qualitative and quantitative KPIs. Mistakes to avoid when developing KPIs include creating too many and not linking them to strategy. KPIs should be designed to empower employees and answer important questions.
The document discusses the purpose of quality management systems. It defines quality management as a concept used throughout a business to improve product quality by focusing on continuous improvement and high standards at all stages of production. The primary goal of a quality management system is to improve customer satisfaction, increase sales, and further the goodwill of a business by identifying waste and inefficiencies to reduce costs. The document also provides examples of common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document discusses quality management objectives and provides resources for learning more. It explains that quality objectives can range from long-term strategic goals set by top management to short-term tactical goals. Objectives should follow the SMART criteria and be communicated throughout the organization. Key quality measures are selected and objectives are based on these measures. Strategies are developed to accomplish objectives within set timeframes. Performance is then tracked against the objectives. Common quality management tools like check sheets, control charts, Pareto charts, and scatter plots are also overviewed.
This document provides information about a free online diploma course in quality management systems. It discusses topics that will be covered in the course such as quality specifications and costs, total quality management tools, ISO 9000 standards, and service quality management. Six common quality management tools are also described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics that could be useful for the course are also listed.
This document provides information about quality management system audits and tools for quality management. It includes:
- An overview of quality management system audits, including forms, tools, and strategies for audits. Additional resources on quality management are listed.
- Details of a 5-day training course on quality management system audits that teaches the audit process and helps attendees gain certification as a quality auditor.
- Descriptions of common quality management tools including check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams; explaining what each tool is used for and how it works.
This document provides information about quality metrics project management including definitions, tools, and other related topics. It defines quality as meeting the customer's requirements and expectations. Metrics are used to measure quality and determine if it is improving. Common quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools help identify issues, determine causes of defects, and monitor processes. Additional downloadable resources on related quality management topics are also listed.
This document provides information about quality management audits, including forms, tools, and strategies for conducting audits. It discusses a 5-day training course on quality management system audits that teaches auditing skills and covers topics like planning, conducting, reporting on, and following up audits according to ISO 19011 and ISO 17021 standards. The course prepares students to lead and conduct ISO 9001 audits. It also provides examples of quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and discusses other related quality management topics.
This document provides information about quality management system templates, including templates, tools, and strategies. It discusses specific templates for policies, procedures, work instructions, and other documents needed for a quality management system. The templates are designed to help users build a quality management system quickly that complies with standards like ISO and FDA guidelines. The templates come with over 40 pre-written standard operating procedures and other documents, as well as support from regulatory compliance experts. Specific quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are also discussed.
This document provides information about apparel quality management including forms, tools, and strategies. It discusses hiring experienced employees, training staff, increasing inspection rates, selecting high-quality suppliers, and obtaining customer feedback. Quality management tools covered include 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 provides information about quality management system certification including forms, tools, and strategies. It discusses ISO 9001, the leading international quality management standard implemented by over 1 million organizations globally. Key principles of ISO 9001 are outlined, and the process for achieving ISO 9001 certification is described. Several common quality management tools are also defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics on quality management systems are listed for download.
This document provides an overview and details about a quality management course. It includes an introduction to quality concepts and methods taught in the course such as quality planning, quality tools and techniques like check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. The document also lists additional quality management resources and details the contents, format, and prerequisites of the quality management course.
This document provides information about quality management system procedures including forms, tools, and strategies. It discusses developing procedures according to ISO 9001 standards and simplifying procedures. Quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are explained. Additional related topics like quality management systems, courses, and standards are also listed.
The document provides an overview of quality management tools and topics such as check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. It also summarizes the contents of The Handbook for Quality Management, which defines quality management principles and their application across industries. The handbook incorporates classic motivation theory and current management practices to help readers study for the ASQ Certified Manager of Quality/Organizational Excellence exam.
The document discusses supplier quality management systems. It provides an overview of the benefits of the MetricStream supplier quality management solution, including enabling supplier access, real-time quality analysis, issue tracking, streamlined corrective actions, supplier charge-backs, supplier scorecards, and supplier audits. It also lists and briefly describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional topics related to supplier quality management systems.
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 discusses quality management in manufacturing. It provides definitions of quality management systems and how they can help identify potential quality issues. It also lists several quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms that can be used to monitor quality. Finally it provides some additional related topics in quality management in manufacturing that can be downloaded as PDFs.
This document provides information about software for quality management, including tools, strategies, and other resources. It discusses how quality management software can help achieve goals like reducing IT risks, improving customer satisfaction, and demonstrating return on investment in quality. Specific quality management tools described include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and more. Additional related topics are also listed.
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1. Quality management kpi
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I. Contents of quality management kpi
==================
2. In the apparel industry, professionals always talk about product quality, defects, and quality
systems. To the buyers – the end product what they are receiving from factory, quality should be
as per the requirement. No more, no less. Earlier buyers don’t bother how a factory makes
quality? How much extra pieces they have processed to achieve all good pieces to handover the
buyer?
On the other side factories don’t think how much money they are losing through repair work and
garment rejection. It has been assessed unlike last decade now-a-days manufacturer become
quality conscious and looking for solutions of quality related problems and many of them
demand that they have good quality system in place and they ship quality garment to the buyer.
Even during vendor selection buyers look for factories quality management systems, quality
performance history. But question is do factory measure the quality performance?
It not just what you feel about your product quality is, there must be certain performance
measuring criteria.
We suggest factories to track their performance on the following KPIs and on that KPI they
improve their quality performance continuous basis.
• Customer complaint: When buyers received something wrong against the contract with
suppliers in terms of product quality they claim for the damages. It is huge money to pay back to
the buyer. Even factory may lose business relationship with those buyers due to poor product
quality. So customer complaint is considered as most important KPI.
• AQL levels: It means when garments are inspected what AQL level is being followed as pass
or fail criteria. Though it may vary product to product but it gives clear idea about factory’s
quality performance. Lower the AQL you follow better is the quality performance.
• Percentage Defective level: This term is also known as Defect %. It is measure of total
defective garments founds and total garments inspected in percentage. It can be calculated batch
wise or on the basis of complete order. Generally factory measureDefect percentage on daily and
hourly basis of batch. Lesser the defect% better is the quality performance.
• Defects per Hundred Units (DHU): Factories measure Defect% but don’t track total number
of defects found in inspected pieces. Tracking of DHU is important because your rework time
and work force required for repairing defect directly linked with DHU number. Lesser the DHU
better is the quality performance.
3. • Rework Cost: Each rework is a cost to the company. The rework costs vary according to the
process and types of rework. It consumes extra time and increase factory overhead. Process wise
and product wise rework cost can be tracked to measure it. Lower the Rework cost better is
quality performance.
• Right First Time (RFT): For garment manufacturer RFT quality is an ideal situation. It means
whatever activities you do to make the garment, quality of the garment should be correct at the
first time. Data can be captured for RFT at each process and it is expressed in percentage.
==================
III. Quality management tools
1. Check sheet
The check sheet is a form (document) used to collect data
in real time at the location where the data is generated.
The data it captures can be quantitative or qualitative.
When the information is quantitative, the check sheet is
sometimes called a tally sheet.
The defining characteristic of a check sheet is that data
are recorded by making marks ("checks") on it. A typical
check sheet is divided into regions, and marks made in
different regions have different significance. Data are
read by observing the location and number of marks on
the sheet.
Check sheets typically employ a heading that answers the
Five Ws:
Who filled out the check sheet
What was collected (what each check represents,
an identifying batch or lot number)
Where the collection took place (facility, room,
apparatus)
When the collection took place (hour, shift, day
of the week)
Why the data were collected
4. 2. Control chart
Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
If analysis of the control chart indicates that the
process is currently under control (i.e., is stable,
with variation only coming from sources common
to the process), then no corrections or changes to
process control parameters are needed or desired.
In addition, data from the process can be used to
predict the future performance of the process. If
the chart indicates that the monitored process is
not in control, analysis of the chart can help
determine the sources of variation, as this will
result in degraded process performance.[1] A
process that is stable but operating outside of
desired (specification) limits (e.g., scrap rates
may be in statistical control but above desired
limits) needs to be improved through a deliberate
effort to understand the causes of current
performance and fundamentally improve the
process.
The control chart is one of the seven basic tools of
quality control.[3] Typically control charts are
used for time-series data, though they can be used
for data that have logical comparability (i.e. you
want to compare samples that were taken all at
the same time, or the performance of different
individuals), however the type of chart used to do
this requires consideration.
3. Pareto chart
5. A Pareto chart, named after Vilfredo Pareto, is a type
of chart that contains both bars and a line graph, where
individual values are represented in descending order
by bars, and the cumulative total is represented by the
line.
The left vertical axis is the frequency of occurrence,
but it can alternatively represent cost or another
important unit of measure. The right vertical axis is
the cumulative percentage of the total number of
occurrences, total cost, or total of the particular unit of
measure. Because the reasons are in decreasing order,
the cumulative function is a concave function. To take
the example above, in order to lower the amount of
late arrivals by 78%, it is sufficient to solve the first
three issues.
The purpose of the Pareto chart is to highlight the
most important among a (typically large) set of
factors. In quality control, it often represents the most
common sources of defects, the highest occurring type
of defect, or the most frequent reasons for customer
complaints, and so on. Wilkinson (2006) devised an
algorithm for producing statistically based acceptance
limits (similar to confidence intervals) for each bar in
the Pareto chart.
4. Scatter plot Method
A scatter plot, scatterplot, or scattergraph is a type of
mathematical diagram using Cartesian coordinates to
display values for two variables for a set of data.
The data is displayed as a collection of points, each
having the value of one variable determining the position
on the horizontal axis and the value of the other variable
determining the position on the vertical axis.[2] This kind
of plot is also called a scatter chart, scattergram, scatter
diagram,[3] or scatter graph.
A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that
6. is systematically incremented and/or decremented by the
other, it is called the control parameter or independent
variable and is customarily plotted along the horizontal
axis. The measured or dependent variable is customarily
plotted along the vertical axis. If no dependent variable
exists, either type of variable can be plotted on either axis
and a scatter plot will illustrate only the degree of
correlation (not causation) between two variables.
A scatter plot can suggest various kinds of correlations
between variables with a certain confidence interval. For
example, weight and height, weight would be on x axis
and height would be on the y axis. Correlations may be
positive (rising), negative (falling), or null (uncorrelated).
If the pattern of dots slopes from lower left to upper right,
it suggests a positive correlation between the variables
being studied. If the pattern of dots slopes from upper left
to lower right, it suggests a negative correlation. A line of
best fit (alternatively called 'trendline') can be drawn in
order to study the correlation between the variables. An
equation for the correlation between the variables can be
determined by established best-fit procedures. For a linear
correlation, the best-fit procedure is known as linear
regression and is guaranteed to generate a correct solution
in a finite time. No universal best-fit procedure is
guaranteed to generate a correct solution for arbitrary
relationships. A scatter plot is also very useful when we
wish to see how two comparable data sets agree with each
other. In this case, an identity line, i.e., a y=x line, or an
1:1 line, is often drawn as a reference. The more the two
data sets agree, the more the scatters tend to concentrate in
the vicinity of the identity line; if the two data sets are
numerically identical, the scatters fall on the identity line
exactly.
7. 5.Ishikawa diagram
Ishikawa diagrams (also called fishbone diagrams,
herringbone diagrams, cause-and-effect diagrams, or
Fishikawa) are causal diagrams created by Kaoru
Ishikawa (1968) that show the causes of a specific
event.[1][2] Common uses of the Ishikawa diagram are
product design and quality defect prevention, to identify
potential factors causing an overall effect. Each cause or
reason for imperfection is a source of variation. Causes
are usually grouped into major categories to identify these
sources of variation. The categories typically include
People: Anyone involved with the process
Methods: How the process is performed and the
specific requirements for doing it, such as policies,
procedures, rules, regulations and laws
Machines: Any equipment, computers, tools, etc.
required to accomplish the job
Materials: Raw materials, parts, pens, paper, etc.
used to produce the final product
Measurements: Data generated from the process
that are used to evaluate its quality
Environment: The conditions, such as location,
time, temperature, and culture in which the process
operates
6. Histogram method
8. A histogram is a graphical representation of the
distribution of data. It is an estimate of the probability
distribution of a continuous variable (quantitative
variable) and was first introduced by Karl Pearson.[1] To
construct a histogram, the first step is to "bin" the range of
values -- that is, divide the entire range of values into a
series of small intervals -- and then count how many
values fall into each interval. A rectangle is drawn with
height proportional to the count and width equal to the bin
size, so that rectangles abut each other. A histogram may
also be normalized displaying relative frequencies. It then
shows the proportion of cases that fall into each of several
categories, with the sum of the heights equaling 1. The
bins are usually specified as consecutive, non-overlapping
intervals of a variable. The bins (intervals) must be
adjacent, and usually equal size.[2] The rectangles of a
histogram are drawn so that they touch each other to
indicate that the original variable is continuous.[3]
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