Statistical Process Control In Manufacturing Practice

Author : Fred W. Kear
Publisher : CRC Press
ISBN 13 : 100011015X
Total Pages : 239 pages
Book Rating : 4.59/5 ( download)

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Download or read book Statistical Process Control in Manufacturing Practice written by Fred W. Kear and published by CRC Press. This book was released on 2020-11-25 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.

Author : Bert Keats
Publisher : CRC Press
ISBN 13 : 1000147150
Total Pages : 317 pages
Book Rating : 4.55/5 ( download)

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Download or read book Statistical Process Control in Automated Manufacturing written by Bert Keats and published by CRC Press. This book was released on 2020-11-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

Author : Leonard A. Doty
Publisher : Industrial Press Inc.
ISBN 13 : 9780831130695
Total Pages : 396 pages
Book Rating : 4.95/5 ( download)

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Download or read book Statistical Process Control written by Leonard A. Doty and published by Industrial Press Inc.. This book was released on 1996 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.

Author : James Evans
Publisher : Pearson Education
ISBN 13 : 0132442019
Total Pages : 231 pages
Book Rating : 4.15/5 ( download)

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Download or read book Statistical Process Control For Quality Improvement written by James Evans and published by Pearson Education. This book was released on 1991-03-29 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control – and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.

Author : G. Barrie Wetherill
Publisher : Springer
ISBN 13 : 9781489929501
Total Pages : 400 pages
Book Rating : 4.09/5 ( download)

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Download or read book Statistical Process Control written by G. Barrie Wetherill and published by Springer. This book was released on 2013-08-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical process control (SPC) is now recognized as having a very important role to play in modern industry. Our aim in this book has been to present SPC techniques in a simple and clear way, and also to present some of the underlying theory and properties of the techniques. This volume arises partly out of a revision of Wetherill (1977), and partly out of experience in teaching and implementing SPC at industrial sites, especially with ICI. It would have been impossible to come to our present understanding of this field without the joint efforts of industry and university. A number of features of this book are new: (1) The special emphasis on process industry problems, including one at-a-time data. (2) The discussion of between and within-group variation, and the effects of this on charting and on process capability analysis. (3) The derivation of the properties of the techniques has not been gathered together before. (4) The presentation of sampling by variables contains many new features. The techniques themselves are presented in a very simple way by using 'method summaries', and these could be a basis for training when SPC is implemented.

Author : Tim Stapenhurst
Publisher : Routledge
ISBN 13 : 1136379118
Total Pages : 456 pages
Book Rating : 4.16/5 ( download)

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Download or read book Mastering Statistical Process Control written by Tim Stapenhurst and published by Routledge. This book was released on 2013-05-13 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Robert James Oakland
Publisher : Routledge
ISBN 13 : 1351662686
Total Pages : 430 pages
Book Rating : 4.80/5 ( download)

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Download or read book Statistical Process Control written by Robert James Oakland and published by Routledge. This book was released on 2018-10-08 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques.

Author : J. Koronacki
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584882428
Total Pages : 456 pages
Book Rating : 4.25/5 ( download)

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Download or read book Statistical Process Control For Quality Improvement- Hardcover Version written by J. Koronacki and published by Chapman and Hall/CRC. This book was released on 2001-12-26 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?

Author : Sarina A. Lim
Publisher : John Wiley & Sons
ISBN 13 : 1119152003
Total Pages : 188 pages
Book Rating : 4.02/5 ( download)

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Download or read book Statistical Process Control for the Food Industry written by Sarina A. Lim and published by John Wiley & Sons. This book was released on 2019-02-25 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment for implementing Statistical Process Control (SPC) in the food industry This book provides managers, engineers, and practitioners with an overview of necessary and relevant tools of Statistical Process Control, a roadmap for their implementation, the importance of engagement and teamwork, SPC leadership, success factors of the readiness and implementation, and some of the key lessons learned from a number of food companies. Illustrated with numerous examples from global real-world case studies, this book demonstrates the power of various SPC tools in a comprehensive manner. The final part of the book highlights the critical challenges encountered while implementing SPC in the food industry globally. Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers explores the opportunities to deliver customized SPC training programs for local food companies. It offers insightful chapter covering everything from the philosophy and fundamentals of quality control in the food industry all the way up to case studies of SPC application in the food industry on both the quality and safety aspect, making it an excellent "cookbook" for the managers in the food industry to assess and initiating the SPC application in their respective companies. Covers concise and clear guidelines for the application of SPC tools in any food companies' environment Provides appropriate guidelines showing the organizational readiness level before the food companies adopt SPC Explicitly comments on success factors, motivations, and challenges in the food industry Addresses quality and safety issues in the food industry Presents numerous, global, real-world case studies of SPC in the food industry Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers can be used to train upper middle and senior managers in improving food quality and reducing food waste using SPC as one of the core techniques. It's also an excellent book for graduate students of food engineering, food quality management and/or food technology, and process management.

Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1119723094
Total Pages : 768 pages
Book Rating : 4.97/5 ( download)

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Download or read book Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2020-06-23 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines. Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences. A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.