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9,800 result(s) for "Quality control Statistical methods"
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Statistical methods for quality improvement
\"In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include updated coverage of control charts, with newly added tools. The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures\"-- Provided by publisher.
Statistical analysis of profile monitoring
A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings.
Statistics for Six sigma made easy!
Presents an introduction to the basic principles of the statistical strategy, detailing its tools and techniques, with case studies and advice for obtaining good samples and data and a matrix for choosing the best methods for a particular industry.
Statistical methods for quality improvement
Praise for the Second Edition \"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available.\" -- Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous.
Industrial statistics
This useful guide concisely communicates ten practical statistical methods that are widely applicable to research, product design, process design, validation, manufacturing, and continuous improvement in many different industries. The coverage presents the key ideas behind each statistical method in clear, concise, and accessible writing, with minimal mathematical detail. Focusing on practical aspects for problem-solving, the text illustrates applications with numerous examples, providing a accessible resource to scientists, engineers, ...
Mastering Statistical Process Control
Mastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. Mastering SPC demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations. Key case studies include using SPC to: · Measure quality and human factors · Monitor process performance accurately over long periods · Develop best-practice benchmarks using control charts · Maximise profitability of fixed assets · Improve customer service and satisfaction Part 1: Using & interpreting control charts; The old way: how & why moving averages mislead management; Part 2: Case Studies: Accounting for human error; Measuring quality & human factors; Measuring process performance accurately; Application of control charts to benchmarking; Coping with trends; Two metrics on the same chart; Analysing production data; Celto-Styrocell case study; Training analysis using SPC; Using charts to maximise usage; Analysis of incidents; Exam results; Teaching how to draw control charts; Plotting the results of consecutive phases on a single chart; Budget vs actual plotting; Using charts to improve customer service; Estimating the cost of poor performance; Methods of sampling in complex systems; SPC in context: SPC, Six Sigma & Quality Management; Part 3: The Basics of SPC; Constructing charts; Interpreting charts; Examples & exercises ‘Mr. Stapenhurst has provided our field with a much needed, refreshing treatment of SPC. This book is a welcome contribution to the field of business improvement and quality management.’ Joseph A. De Feo, President & CEO, Juran Institute Inc. \"Tim Stapenhurst brings together a fascinating range of practical examples of SPC, dispelling the myth that SPC is only for 'eggheads', engineers and statisticians, whilst providing an excellent reference for the quality professional. SPC is the managers' key to understanding the processes that make up their business. It unlocks process improvements and provides a gateway to quality.\" Nick Baxter, founder and CEO of Cornerstone Community Care, and award-winning social entrepreneur
Fundamentals of quality control and improvement
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.