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This book covers the foundations of modern methods of quality control and improvement that are used in the manufacturing and service industries. Quality is key to surviving tough competition. Consequently, business needs technically competent people who are well-versed in statistical quality control and improvement. This book should serve the needs of students in business and management and students in engineering, technology, and other related disciplines. Professionals will find this book to be a valuable reference in the field.
A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition bridges the gap between statistical quality control and quality management. The book promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Further management-oriented topics of discussion include total quality management; quality function deployment; activity-basedcosting; balanced scorecard; benchmarking; failure mode and effects criticality analysis; quality auditing; vendor selection and certification; and the Six Sigma quality philosophy. The Third Edition also features: Presentation of acceptance sampling and reliability principles Coverage of ISO 9000 standards Profiles of past Malcolm Baldrige National Quality Award winners, which illustrate examples of best business practices Strong emphasis on process control and identification of remedial actions Integration of service sector examples The implementation of MINITAB software in applications found throughout the book as well as in the additional data sets that are available via the related Web site New and revised exercises at the end of most chapters Complete with discussion questions and a summary of key terms in each chapter, Fundamentals of Quality Control and Improvement, Third Edition is an ideal book for courses in management, technology, and engineering at the undergraduate and graduate levels. It also serves as a valuable reference for practitioners and professionals who would like to extend their knowledge of the subject.
"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
The principles of Total Quality Management have proven to be invaluable to organisations in all sectors of business and commerce and to the individuals they comprise. Indeed many organisations have discovered the relationship between quality and profitability. Now, more than ever, it is important to develop a quality strategy by adopting the principles of TQM. This important text provides a solid framework for understanding the basic concepts of TQM. It comprises three interlinked modules - fundamentals of TQM, methods of TQM and process management and improvement - and provides an integrated approach to this increasingly important business strategy. Fundamentals of Total Quality Management is vital reading for students doing MBAs, and those on MSc courses in business studies and engineering featuring TQM models, as well as practitioners in quality management and control.
A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition bridges the gap between statistical quality control and quality management. The book promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Further management-oriented topics of discussion include total quality management; quality function deployment; activity-basedcosting; balanced scorecard; benchmarking; failure mode and effects criticality analysis; quality auditing; vendor selection and certification; and the Six Sigma quality philosophy. The Third Edition also features: Presentation of acceptance sampling and reliability principles Coverage of ISO 9000 standards Profiles of past Malcolm Baldrige National Quality Award winners, which illustrate examples of best business practices Strong emphasis on process control and identification of remedial actions Integration of service sector examples The implementation of MINITAB software in applications found throughout the book as well as in the additional data sets that are available via the related Web site New and revised exercises at the end of most chapters Complete with discussion questions and a summary of key terms in each chapter, Fundamentals of Quality Control and Improvement, Third Edition is an ideal book for courses in management, technology, and engineering at the undergraduate and graduate levels. It also serves as a valuable reference for practitioners and professionals who would like to extend their knowledge of the subject.
A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management. Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes: New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis Updated examples and exercises that enhance the readers’ understanding of the concepts Discussions on the integration of statistical concepts to decision making in the realm of quality assurance Additional concepts, tools, techniques, and issues in the field of health care and health care quality A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.
Helping human research protection program professionals create, implement, and evaluate quality assurance/quality improvement programs. Quality Assurance and Quality Improvement Handbook for Human Research is the first comprehensively designed instructional manual aimed at teaching human research protection program (HRPP) professionals how to create, implement, evaluate, and improve QA/QI programs. Geared toward institutions and individuals responsible for establishing new QA/QI programs or functions, the book offers several organizational models for consideration. It also provides practical information for improving and strengthening established programs, both big and small. Written in a conversational style, the book's step-by-step instructions make it easily accessible to those who may not be well versed in QA/QI concepts and fundamentals. Developed by the QA/QI Subcommittee of the Harvard Catalyst Regulatory Foundations, Ethics, and Law Program, which is committed to designing and strengthening QA/QI programs and functions, this volume • includes contributions by fifteen experts with diverse professional experiences from varied organizations • is enhanced with flow charts, examples, sample forms, and templates • incorporates model slide presentations and instructional materials • discusses the respective benefits and challenges of different organizational models • is applicable across many organizational types with a variety of reporting structures and available resources, including academic and medical institutions Perfect for both seasoned personnel and newcomers to the field, Quality Assurance and Quality Improvement Handbook for Human Research is a needed resource for ensuring investigative accountability. Contributors: Hila Bernstein, MS, MPH, Barbara E. Bierer, MD, Elizabeth Bowie, JD, MPH, MSc, Susan Corl, MSW, MPH, CIP, CCRP, Jacquelyn-My Do, MPH, Lisa Gabel, CIP, Alyssa Gateman, MPH, CCRP, Jennifer A. Graf, Nareg D. Grigorian, Leslie M. Howes, MPH, CIP, Jennifer Hutchinson, CIP, CPIA, Cynthia Monahan, MBA, CIP, Eunice Newbert, MPH, Sarah A. White, MPH, CIP, Elizabeth Witte, MFA
Covers the foundations of modern methods of quality control and improvements that may be applied to manufacturing and service industries. The text presents case studies at the end of each chapter that provide realistic applications of the principles.
In the past, when goods and services were simpler, measurement of quality was self-evident. As business became more complicated, so too did the implementation of quality management and our ability to measure it. Ultimately, the practice of quality strayed from being a business practice to become much more of an engineering discipline producing plen