The document provides information about productivity and quality management including definitions of productivity, quality, and total quality management. It discusses measuring productivity and factors that affect it. Quality is defined as conformance to requirements. The document also lists and describes several quality management tools: check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. These tools can be used to measure and improve quality.
This document provides an overview of quality and operations management. It discusses various quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. It also lists additional topics related to quality and operations management such as quality management systems, courses, standards and strategies. The document contains information that would be useful for someone looking to learn more about quality and operations management.
This document discusses quality risk management and provides resources on the topic. It covers quality risk management principles, strategies and tools. Specifically, it explains that quality risk management requires evaluating risk to quality based on scientific knowledge and patient protection. It also lists and describes several quality management tools useful for quality risk management, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Additional related topics on quality management systems and standards are also listed.
This document provides information about quality management projects including definitions, concepts, and tools. It defines quality management project as determining and achieving project quality by meeting customer requirements. The three key concepts are customer satisfaction, prevention over inspection, and continuous improvement. Six common quality management tools are described in detail - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics are also listed.
This document provides an overview of supplier quality management processes and tools. It discusses establishing effective supplier management processes which require support from top management, mutual trust, and investing in the relationship. Quality management tools that are described include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and supplier performance metrics related to quality, cost, reliability and policies. Additional online resources on quality management topics are also listed.
This document provides an overview of management quality and various quality management tools. It discusses project quality management processes like quality planning, quality assurance, and quality control. Six common quality management tools are described in detail: 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. The document is a reference for information on management quality, tools, and strategies.
This document discusses quality management projects and provides information on quality management tools and techniques. It defines quality management as a continuous process that ensures project activities are effective and efficient in meeting objectives. Key aspects of quality management include quality planning, quality assurance, and quality control. The document also describes several commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. These tools can help identify issues, monitor processes, determine causes of problems, and make continuous improvements.
This document discusses supplier quality management software and provides examples of quality management tools that can be used including TrackWise supplier quality management software. TrackWise allows companies to manage supplier qualification workflows, non-conformances, and performance. It provides features such as supplier scorecards, an approved supplier list, and tracking of corrective and preventative action plans. The document also describes check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams as examples of quality management tools that can be used.
This document provides an overview of examples and concepts related to quality management. It discusses key quality management principles such as leadership, customer focus, and continual improvement. It also outlines several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Links are provided to additional free resources on quality management systems, courses, standards, and other related topics.
This document provides an overview of quality and operations management. It discusses various quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. It also lists additional topics related to quality and operations management such as quality management systems, courses, standards and strategies. The document contains information that would be useful for someone looking to learn more about quality and operations management.
This document discusses quality risk management and provides resources on the topic. It covers quality risk management principles, strategies and tools. Specifically, it explains that quality risk management requires evaluating risk to quality based on scientific knowledge and patient protection. It also lists and describes several quality management tools useful for quality risk management, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Additional related topics on quality management systems and standards are also listed.
This document provides information about quality management projects including definitions, concepts, and tools. It defines quality management project as determining and achieving project quality by meeting customer requirements. The three key concepts are customer satisfaction, prevention over inspection, and continuous improvement. Six common quality management tools are described in detail - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related topics are also listed.
This document provides an overview of supplier quality management processes and tools. It discusses establishing effective supplier management processes which require support from top management, mutual trust, and investing in the relationship. Quality management tools that are described include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and supplier performance metrics related to quality, cost, reliability and policies. Additional online resources on quality management topics are also listed.
This document provides an overview of management quality and various quality management tools. It discusses project quality management processes like quality planning, quality assurance, and quality control. Six common quality management tools are described in detail: 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. The document is a reference for information on management quality, tools, and strategies.
This document discusses quality management projects and provides information on quality management tools and techniques. It defines quality management as a continuous process that ensures project activities are effective and efficient in meeting objectives. Key aspects of quality management include quality planning, quality assurance, and quality control. The document also describes several commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. These tools can help identify issues, monitor processes, determine causes of problems, and make continuous improvements.
This document discusses supplier quality management software and provides examples of quality management tools that can be used including TrackWise supplier quality management software. TrackWise allows companies to manage supplier qualification workflows, non-conformances, and performance. It provides features such as supplier scorecards, an approved supplier list, and tracking of corrective and preventative action plans. The document also describes check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams as examples of quality management tools that can be used.
This document provides an overview of examples and concepts related to quality management. It discusses key quality management principles such as leadership, customer focus, and continual improvement. It also outlines several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Links are provided to additional free resources on quality management systems, courses, standards, and other related topics.
This document provides an overview of quality management including definitions, principles, concepts and tools. It discusses key aspects of quality management such as leadership, customer focus, continual improvement and prevention of defects. Common quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. Links to additional quality management resources are provided.
This document provides an overview of continuous quality management including definitions, strategies, tools and other related topics. It discusses total quality management (TQM) which aims for continuous process improvement and customer satisfaction. Six common quality management tools are described in detail: 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. The document serves as a useful reference for continuous quality management concepts, methods and additional resources.
This document provides an overview of quality driven management and resources for learning more. It discusses producing quality plans, identifying customer needs, and integrating quality into projects. Quality management tools are also introduced, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other quality management topics like systems, courses, standards and strategies. The document aims to help readers better understand and apply quality driven approaches to their work.
The document discusses quality management tools that can be used to improve quality in projects, products, and processes. It provides descriptions of six commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Check sheets are forms used to collect real-time data. Control charts determine if a process is stable or needs correction. Pareto charts identify priority tasks. Scatter plots show correlations between variables. Ishikawa diagrams identify causes and effects. Histograms show the distribution of data values. The document emphasizes that using these tools can lead to better project outcomes with fewer delays.
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 discusses quality management systems, which are organizational processes, people, controls, resources, and goals focused on producing outputs that meet defined specifications. Popular quality management models include ISO9001, Six Sigma, and Total Quality Management. Key components of quality management systems include defining quality, establishing processes, and ensuring compliance through methods like audits. The document also lists and briefly describes several common quality management tools.
This document provides an overview of quality management including definitions, principles, concepts and tools. It discusses quality management as an organizational framework that ensures planning, development and application leading to valuable services and professionalism. Core concepts discussed include continuous improvement, customer focus, defect prevention and universal responsibility. Quality management tools described include check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. Additional related topics are also listed.
This document provides an overview of quality management essentials and tools. It discusses key topics including quality assurance vs quality control, quality planning, quality processes, and stakeholder engagement. Six commonly used quality management tools are described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional resources on quality management systems, courses, and standards are also listed.
This document provides an overview of quality management and quality management systems. It discusses that quality management involves defining quality and establishing organizational processes, people and goals focused on producing outputs that meet specifications. Popular quality management models/frameworks include ISO9001, Six Sigma and Total Quality Management. Key components of quality management systems include defining quality, establishing processes and procedures, training employees, measuring and analyzing performance, and continually improving the system. The document also describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
The document discusses quality management system software. It describes Intelex's Quality Management System software which allows users to manage quality metrics, comply with standards like ISO 9001, and drive continuous improvement. The software includes modules for quality management, supplier management, audits, compliance, documents, and training. Common quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Related quality management topics that can be downloaded as PDFs are also listed.
This document discusses key concepts of quality management including definitions of quality, quality management, and quality tools and strategies. It provides descriptions and examples of six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to measure quality, identify sources of variation, determine if processes are in control, and understand relationships between variables. The document is a reference for understanding and applying quality management concepts.
This document discusses quality management tools. It begins by introducing 7 key quality control tools used in Japanese manufacturing: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and flowcharts. It then provides more detailed descriptions of each tool, including their purposes and how they are constructed and interpreted. Finally, it lists additional topics related to quality management that have further resources available for download.
The document discusses construction quality management systems, providing information on forms, tools, and strategies for quality management. It also lists additional resources on quality management including free e-books, forms, templates, quality indicators, job descriptions, and interview questions. Specific quality management tools are explained in detail, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related topics.
The document discusses information about a quality management office, including forms, tools, and strategies for quality management. It provides links to additional quality management resources and discusses the goals and roles of a quality management office, including organizing quality assurance, training engineers, conducting testing at all stages of product development, and advising customers. Quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related quality management topics are also listed.
This document discusses quality management seminars and provides information about their goals, objectives, and common quality management tools. The goal of quality management seminars is to help managers plan and lead successful quality implementations by understanding quality ethics and values and avoiding common problems. Objectives include explaining quality concepts and management's role in quality management. Common quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. These tools can help analyze processes and identify sources of variation.
This document provides an overview of quality management companies and tools. It discusses quality management principles such as leadership, customer focus, and continual improvement. It also outlines several commonly used quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional resources on topics like quality management systems, courses, and standards are listed.
This document provides information about quality management certification courses. It discusses the contents of ExpertRating's online Total Quality Management course, which covers TQM tools, techniques and concepts. The course leads to a Total Quality Management Certification. It is designed to be understood by beginners and includes topics like TQM implementation. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. It provides brief descriptions of each tool. Finally, it lists additional related topics in quality management.
This document provides information about quality management qualification including forms, tools, strategies, and other useful resources. It discusses the typical education, management experience, analytical skills, and documentation required for quality management qualifications. Specific quality management tools are defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and quality management systems, courses, techniques, standards, policies and strategies.
This document discusses quality management qualifications. It provides information on the typical education, skills, and experience required for quality management roles. A bachelor's degree is typically required, with some pursuing MBAs. Analytical skills, documentation skills, and management experience are important. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and provides links to additional quality management resources.
This document discusses production, productivity, and total quality management. It defines productivity as the output relative to the inputs used in the production process. Productivity can be improved by increasing output with the same inputs or increasing output more than the increase in inputs. The document also discusses different models for calculating productivity for factors like capital, labor, materials, and machines. It defines total quality management as the process of ensuring effectiveness and efficiency through quality control, quality assurance, and quality improvement. Key factors that can affect quality are also listed.
This document discusses principles of management including productivity, operations management, and total quality management. It covers definitions of productivity, production, and operations management. It also describes techniques for improving productivity such as just-in-time and outsourcing as well as quality improvement techniques like lean manufacturing. The roles and components of operations management systems are defined including inputs, outputs, conversion processes, and different types of process technologies for manufacturing and services.
This document provides an overview of quality management including definitions, principles, concepts and tools. It discusses key aspects of quality management such as leadership, customer focus, continual improvement and prevention of defects. Common quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. Links to additional quality management resources are provided.
This document provides an overview of continuous quality management including definitions, strategies, tools and other related topics. It discusses total quality management (TQM) which aims for continuous process improvement and customer satisfaction. Six common quality management tools are described in detail: 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. The document serves as a useful reference for continuous quality management concepts, methods and additional resources.
This document provides an overview of quality driven management and resources for learning more. It discusses producing quality plans, identifying customer needs, and integrating quality into projects. Quality management tools are also introduced, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other quality management topics like systems, courses, standards and strategies. The document aims to help readers better understand and apply quality driven approaches to their work.
The document discusses quality management tools that can be used to improve quality in projects, products, and processes. It provides descriptions of six commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Check sheets are forms used to collect real-time data. Control charts determine if a process is stable or needs correction. Pareto charts identify priority tasks. Scatter plots show correlations between variables. Ishikawa diagrams identify causes and effects. Histograms show the distribution of data values. The document emphasizes that using these tools can lead to better project outcomes with fewer delays.
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 discusses quality management systems, which are organizational processes, people, controls, resources, and goals focused on producing outputs that meet defined specifications. Popular quality management models include ISO9001, Six Sigma, and Total Quality Management. Key components of quality management systems include defining quality, establishing processes, and ensuring compliance through methods like audits. The document also lists and briefly describes several common quality management tools.
This document provides an overview of quality management including definitions, principles, concepts and tools. It discusses quality management as an organizational framework that ensures planning, development and application leading to valuable services and professionalism. Core concepts discussed include continuous improvement, customer focus, defect prevention and universal responsibility. Quality management tools described include check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams. Additional related topics are also listed.
This document provides an overview of quality management essentials and tools. It discusses key topics including quality assurance vs quality control, quality planning, quality processes, and stakeholder engagement. Six commonly used quality management tools are described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional resources on quality management systems, courses, and standards are also listed.
This document provides an overview of quality management and quality management systems. It discusses that quality management involves defining quality and establishing organizational processes, people and goals focused on producing outputs that meet specifications. Popular quality management models/frameworks include ISO9001, Six Sigma and Total Quality Management. Key components of quality management systems include defining quality, establishing processes and procedures, training employees, measuring and analyzing performance, and continually improving the system. The document also describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots and Ishikawa diagrams.
This document provides information about quality management tools and templates that can be used for project quality management. It includes a quality management planning template to help project managers plan quality activities. It also lists and describes common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms that can be used for quality control and assurance. Additional resources on project quality management are provided at the end.
The document discusses quality management system software. It describes Intelex's Quality Management System software which allows users to manage quality metrics, comply with standards like ISO 9001, and drive continuous improvement. The software includes modules for quality management, supplier management, audits, compliance, documents, and training. Common quality management tools are also outlined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Related quality management topics that can be downloaded as PDFs are also listed.
This document discusses key concepts of quality management including definitions of quality, quality management, and quality tools and strategies. It provides descriptions and examples of six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to measure quality, identify sources of variation, determine if processes are in control, and understand relationships between variables. The document is a reference for understanding and applying quality management concepts.
This document discusses quality management tools. It begins by introducing 7 key quality control tools used in Japanese manufacturing: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and flowcharts. It then provides more detailed descriptions of each tool, including their purposes and how they are constructed and interpreted. Finally, it lists additional topics related to quality management that have further resources available for download.
The document discusses construction quality management systems, providing information on forms, tools, and strategies for quality management. It also lists additional resources on quality management including free e-books, forms, templates, quality indicators, job descriptions, and interview questions. Specific quality management tools are explained in detail, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and other related topics.
The document discusses information about a quality management office, including forms, tools, and strategies for quality management. It provides links to additional quality management resources and discusses the goals and roles of a quality management office, including organizing quality assurance, training engineers, conducting testing at all stages of product development, and advising customers. Quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Other related quality management topics are also listed.
This document discusses quality management seminars and provides information about their goals, objectives, and common quality management tools. The goal of quality management seminars is to help managers plan and lead successful quality implementations by understanding quality ethics and values and avoiding common problems. Objectives include explaining quality concepts and management's role in quality management. Common quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. These tools can help analyze processes and identify sources of variation.
This document provides an overview of quality management companies and tools. It discusses quality management principles such as leadership, customer focus, and continual improvement. It also outlines several commonly used quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional resources on topics like quality management systems, courses, and standards are listed.
This document provides information about quality management certification courses. It discusses the contents of ExpertRating's online Total Quality Management course, which covers TQM tools, techniques and concepts. The course leads to a Total Quality Management Certification. It is designed to be understood by beginners and includes topics like TQM implementation. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. It provides brief descriptions of each tool. Finally, it lists additional related topics in quality management.
This document provides information about quality management qualification including forms, tools, strategies, and other useful resources. It discusses the typical education, management experience, analytical skills, and documentation required for quality management qualifications. Specific quality management tools are defined, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and quality management systems, courses, techniques, standards, policies and strategies.
This document discusses quality management qualifications. It provides information on the typical education, skills, and experience required for quality management roles. A bachelor's degree is typically required, with some pursuing MBAs. Analytical skills, documentation skills, and management experience are important. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and provides links to additional quality management resources.
This document discusses production, productivity, and total quality management. It defines productivity as the output relative to the inputs used in the production process. Productivity can be improved by increasing output with the same inputs or increasing output more than the increase in inputs. The document also discusses different models for calculating productivity for factors like capital, labor, materials, and machines. It defines total quality management as the process of ensuring effectiveness and efficiency through quality control, quality assurance, and quality improvement. Key factors that can affect quality are also listed.
This document discusses principles of management including productivity, operations management, and total quality management. It covers definitions of productivity, production, and operations management. It also describes techniques for improving productivity such as just-in-time and outsourcing as well as quality improvement techniques like lean manufacturing. The roles and components of operations management systems are defined including inputs, outputs, conversion processes, and different types of process technologies for manufacturing and services.
The document discusses how ABC constructions, a ready mix concrete supplier, implemented a Total Quality Management program to address increasing costs and declining customer service. The program involved assessing readiness for TQM, communicating the new vision to employees, forming a steering committee, and training managers. As a result of focusing on productivity, customer focus, teamwork, problem solving, and continuous improvement, ABC restored its reputation, gained flexibility, identified $600,000 in cost reductions, and implemented $300,000 in savings, helping the company address problems from aggressive competition and the economic downturn.
By Mrs Sudha A Mujumdar, Founder Member & Hon Secretary, Quality Circle Forum of India, Ankleshwar Chapter presented at Gujarat State Center The Institution of Engineers, Ahmedabad on 12th Feb 2016
This document provides an overview of quality circles and their implementation. Some key points:
1. Quality circles are small groups of employees who voluntarily meet regularly to identify, analyze, and solve work-related problems and recommend solutions to management.
2. They originated in Japan after World War II to improve productivity and quality standards. Their use spread globally as an effective participative management technique.
3. Examples of quality circle implementations are provided for organizations like the Public Works Department of Maharashtra government, Tata Memorial Hospital, Toyota, and Vodafone.
The document provides an overview of key concepts related to productivity and quality management including Total Quality Management (TQM). It defines TQM and lists its objectives and benefits. It also outlines key TQM techniques like total employee involvement, just-in-time, and total quality control. Additionally, it discusses quality gurus like Deming, Crosby, and Juran as well as concepts like the cost of quality, quality assurance, and techniques used in TQM implementation.
Relationship between quality and productivityIzzah Noah
This document discusses the relationship between quality and productivity in manufacturing. It defines quality as meeting product specifications and productivity as the relationship between output and inputs. Higher quality requires more resources but can increase precision and standardization, boosting productivity. Quality and productivity both impact profitability. Efforts to improve one must be coordinated with the others to avoid tradeoffs. Ensuring quality reduces waste and rework, improving efficiency. Organizations that implement total quality management see these linked benefits of higher quality and productivity.
The document discusses performance appraisals, including their definition, purpose, methods, and best practices. It defines performance appraisal as the systematic evaluation of an employee's job performance and potential. Some key points include: performance appraisals aim to provide feedback, identify training needs, and form a basis for personnel decisions. Effective methods include setting goals/objectives, collecting data on performance, conducting interviews, and providing follow-up. Common errors to avoid are rater biases like the halo effect.
EFFECT OF ELECTRONIC WORD OF MOUTH (eWOM) ON SOCIAL MEDIA (FACEBOOK FANPAGE)W...Vany Hilman Ghifary
Variable eWOM have a significant effect on Purchase Intention on the respondent data OPPO mobile users by 2016. This is indicated by the coefficient of determination variables eWOM by 55.2% with a significance level of 0.0000 (sig <0.05). The implication of this study is that eWOM (electronic word of mouth) may also increase the purchasing intention to OPPO mobile phone products.
Intro to Branding & Brand management - ElkottabMuhammad Omar
it's my material for the training workshop of "Intro to Branding & Brand Management" that has been held among other 7 workshops of #elkottab training event organized by E3langi.com in November 2014
The document discusses various aspects of performance appraisal including definitions, objectives, processes, methods, issues, advantages, and disadvantages. Specifically, it defines performance appraisal as evaluating an employee's job performance and sharing feedback to improve. It lists objectives for both employees and organizations. It outlines the typical performance appraisal process and describes traditional and modern methods like graphic rating scales, forced choice, critical incidents, field review, behavioral anchored rating scales, and 360 degree/MBO approaches. It also notes some common issues and both advantages like motivating employees and disadvantages like potential bias.
This document provides information about supply chain quality management including forms, tools, and strategies. It discusses key challenges in managing quality across global supply chains and introduces solutions from Bureau Veritas to help mitigate risks, improve transparency, and drive continuous improvement. Quality management tools are also outlined, such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and more. Additional related topics on quality management are listed for further reference.
This document provides information about supply quality management including tools, strategies, and other resources. It discusses the business challenges of managing quality in global supply chains and introduces Bureau Veritas as a solution provider. Their approach involves planning, validation, data mining from product testing to identify supply chain performance and risks. Key quality management tools described include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Other related topics like quality management systems and standards are also listed.
The document discusses the key components of quality management systems. It identifies six main components: management support, customer focus, process approach, continual improvement, quality management tools, and other related topics. It provides details on each component and describes several common quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. The goal of quality management is to systematically meet or exceed customer expectations through continual improvement.
The document provides information about a model of a process-based quality management system, including its key components and topics such as quality management tools, courses, and standards. It describes the model's focus on assessing process effectiveness, conformance to requirements, and continual improvement. Examples of quality management tools are also defined, such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms.
This document provides an overview of quality management review including definitions, purposes, and tools. It discusses that quality management reviews are conducted regularly according to ISO 9001 standards to evaluate the quality management system. The review assesses adequacy, suitability, and effectiveness of the system. Several quality management tools are also introduced, including check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams.
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 an overview of quality management systems and examples of tools and frameworks used for quality management. It discusses popular quality management models like ISO9001, Six Sigma, and Total Quality Management that organizations can use as guides to design their own quality management systems. Key components of quality management systems are also outlined, including defining quality and using tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Additional related topics around quality management are also listed.
This document provides guidelines and information for quality management systems. It discusses common quality management systems used by state departments of transportation, including modified Baldrige criteria, Lean, ISO, and Six Sigma. The objective is to develop guidelines for selecting and applying quality management systems in state DOTs. The guidelines cover reviewing literature, surveying DOTs on their quality systems, identifying successful systems, conducting case studies, and strategies for successful implementation. Quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms are also discussed.
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.
The document discusses international quality management systems. It provides links to additional quality management resources and summaries key elements of quality management systems including quality manuals, standard operating procedures, quality system assessments, and quality assurance training. It also describes several common quality management tools used in international quality systems like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists other related topics in international quality management.
The document discusses quality assurance management tools and strategies. It provides descriptions and examples of 5 commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. Each tool is explained in 1-2 paragraphs detailing what it is used for and how it works. Examples are given for control charts, Pareto charts, and scatter plots. The tools can help identify issues, determine causes of problems, and monitor quality over time.
This document provides information about quality management certifications and tools. It discusses ISO 9001 certification, which is the world's most recognized quality management standard adopted by over 1 million organizations globally. It also outlines six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Each tool is defined and its purpose and use in quality control processes is described. A variety of additional quality management resources are also listed.
This document provides an overview of quality management approaches and tools. It discusses Total Quality Management (TQM) which aims for customer satisfaction through continuous improvement and involving customers and employees. Six common quality management tools are then described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to collect and analyze quality data to identify issues and improve processes. Links to additional quality management resources are also provided.
This document discusses quality management in hospitals. It provides an overview of key topics related to quality management in hospitals including continuous monitoring of quality measures, tools for quality management like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Examples and descriptions of each quality management tool are given. Other related topics like quality management systems, courses, standards, and strategies are also listed.
This document discusses quality management dashboards and provides resources for creating them. It explains that a quality management dashboard can track key metrics and analyses on a single page report to help focus quality improvement efforts. The dashboard simplifies reporting and allows managers to monitor quality performance and issues at a glance. The document also lists several quality management tools that can be incorporated into a dashboard, such as check sheets, control charts, Pareto charts, scatter plots, and histograms. These tools help identify problems, analyze causes, and prioritize corrective actions.
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1. Productivity and quality management
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I. Contents of productivity and quality management
==================
Productivity is a tool of measurement that determines the efficiency of the organization in terms
of the ratio of output produced with respect to inputs used. Various factors like technology, plant
layouts, equipment, and machinery affect productivity. Hence, operations managers need to carry
out a regular review of all these factors to maintain as well as improve productivity.
Productivity can be either measured as total productivity or as partial productivity where single
variable or multiple variables are considered. Measuring productivity in production organizations
is relatively easy. But measuring productivity for knowledge workers and in the service
organizations is difficult. Maintaining time sheets to determine the time spent on each task and
the quantity of work done is one of the ways of measuring productivity in the services industry.
Quality is one of
the key issues, which defines an organization's competitive position in the market. Till the mid-
seventies quality was only defined by periodic maintenance, but companies today are using
quality as a competitive advantage against the competitors. To gain competitive advantage in the
market through quality, organizations have adopted the Total Quality Management (TQM)
approach. The TQM philosophy states that maintaining and improving quality is not just the
prerogative of quality control department but each and every employee of an organization is
equally responsible. A clever and well-executed advertising may attract customers initially, but if
the product supplied does not match customer’s quality expectations then in all probability the
customer will shift to a competitor's product
2. Quality is conformance to requirements. A well designed and properly produced product without
any error may not be perceived as a quality product by the customers if it does not satisfy their
requirements.
There are eight different quality dimensions that a company can leverage to gain competitive
advantage. They are performance, features, reliability, conformance, durability, serviceability,
aesthetics and perceived quality. Random samples, statistical control charts, and acceptance
plans are some of the tools that are used for quality control.
Control charts (X-Charts, R-Charts, P-Charts and C-Charts) are used to find out if the quality of
the product is within acceptable limits. The P-chart is used to control the percentage of defectives
in the sample. X-chart and R-chart are used to control sample means and sample ranges. Average
outgoing quality (AOQ) curves and operating characteristics (OC) curves explain the workings
of acceptance plans.
==================
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)
3. When the collection took place (hour, shift, day
of the week)
Why the data were collected
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.
4. 3. Pareto chart
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.
5. A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that
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.
6. 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
7. 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]
III. Other topics related to Productivity and quality management (pdf
download)
quality management systems
quality management courses
quality management tools
iso 9001 quality management system
quality management process
quality management system example
quality system management
quality management techniques
quality management standards
quality management policy
quality management strategy
quality management books