Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Advanced Topics In Statistical Process Control full books in PDF, epub, and Kindle. Read online Advanced Topics In Statistical Process Control ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Donald J. Wheeler
Publisher :
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (122 download)
Download or read book Advanced Topics in Statistical Process Control written by Donald J. Wheeler and published by . This book was released on 1990 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Donald J. Wheeler
Publisher : Spc Press
ISBN 13 : 9780945320630
Total Pages : 470 pages
Book Rating : 4.3/5 (26 download)
Download or read book Advanced Topics in Statistical Process Control written by Donald J. Wheeler and published by Spc Press. This book was released on 2004-01-01 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Donald J. Wheeler
Publisher : SPC Press, Incorporated
ISBN 13 : 9780945320692
Total Pages : 0 pages
Book Rating : 4.3/5 (26 download)
Download or read book Understanding Statistical Process Control written by Donald J. Wheeler and published by SPC Press, Incorporated. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harry J. Levinson
Publisher : SPIE Press
ISBN 13 : 9780819430526
Total Pages : 210 pages
Book Rating : 4.4/5 (35 download)
Download or read book Lithography Process Control written by Harry J. Levinson and published by SPIE Press. This book was released on 1999 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers lithography process control at several levels, from fundamental through advanced topics. The book is a self-contained tutorial that works both as an introduction to the technology and as a reference for the experienced lithographer. It reviews the foundations of statistical process control as background for advanced topics such as complex processes and feedback. In addition, it presents control methodologies that may be applied to process development pilot lines.
Author : Christina M. Mastrangelo
Publisher : Wiley
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.0/5 ( download)
Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
Author : Paul A. Keller
Publisher : McGraw Hill Professional
ISBN 13 : 0071742506
Total Pages : 319 pages
Book Rating : 4.0/5 (717 download)
Download or read book Statistical Process Control Demystified written by Paul A. Keller and published by McGraw Hill Professional. This book was released on 2011-06-05 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.
Author : Justyna Trojanowska
Publisher : Springer Nature
ISBN 13 : 3031564448
Total Pages : 428 pages
Book Rating : 4.0/5 (315 download)
Download or read book Advances in Manufacturing IV written by Justyna Trojanowska and published by Springer Nature. This book was released on with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert L. Mason
Publisher : SIAM
ISBN 13 : 0898714966
Total Pages : 271 pages
Book Rating : 4.8/5 (987 download)
Download or read book Multivariate Statistical Process Control with Industrial Applications written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
Author : Walter Andrew Shewhart
Publisher : Courier Corporation
ISBN 13 : 9780486652320
Total Pages : 218 pages
Book Rating : 4.6/5 (523 download)
Download or read book Statistical Method from the Viewpoint of Quality Control written by Walter Andrew Shewhart and published by Courier Corporation. This book was released on 1986-01-01 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. Topics include statistical control, establishing limits of variability, measurements of physical properties and constants, and specification of accuracy and precision. First inexpensive paperback edition.
Author : Douglas C. Montgomery
Publisher : Wiley Global Education
ISBN 13 : 1119399297
Total Pages : 771 pages
Book Rating : 4.1/5 (193 download)
Download or read book Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by Wiley Global Education. This book was released on 2019-11-06 with total page 771 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.
Author : John S. Oakland
Publisher : Routledge
ISBN 13 : 0750669624
Total Pages : 474 pages
Book Rating : 4.7/5 (56 download)
Download or read book Statistical Process Control written by John S. Oakland and published by Routledge. This book was released on 2008 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical process control is a tool which enables both manufacturers and suppliers to achieve control of product quality by applying statistical methods to controlling processes. This guide provides an introduction to the concept.
Author : Ashis Sengupta
Publisher : World Scientific
ISBN 13 : 9812838236
Total Pages : 492 pages
Book Rating : 4.8/5 (128 download)
Download or read book Advances in Multivariate Statistical Methods written by Ashis Sengupta and published by World Scientific. This book was released on 2009 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
Author : Zhiqiang Ge
Publisher : Springer Science & Business Media
ISBN 13 : 1447145135
Total Pages : 204 pages
Book Rating : 4.4/5 (471 download)
Download or read book Multivariate Statistical Process Control written by Zhiqiang Ge and published by Springer Science & Business Media. This book was released on 2012-11-28 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 1118058100
Total Pages : 578 pages
Book Rating : 4.1/5 (18 download)
Download or read book Statistical Methods for Quality Improvement written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. 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 New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.
Author : Robert James Oakland
Publisher : Routledge
ISBN 13 : 1351662686
Total Pages : 430 pages
Book Rating : 4.3/5 (516 download)
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 : John Oakland
Publisher : Taylor & Francis
ISBN 13 : 1040104983
Total Pages : 387 pages
Book Rating : 4.0/5 (41 download)
Download or read book Statistical Process Control and Data Analytics written by John Oakland and published by Taylor & Francis. This book was released on 2024-09-02 with total page 387 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 in the mid-1980s. 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 ‘tool kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. Now entitled Statistical Process Control and Data Analytics, this revised and updated eighth edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability and need improvement – as reflected in the five sections of the book. In this book the authors provide not only an 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 consulting work with thousands of organizations worldwide. A new chapter on data governance and data analytics reflects the increasing importance of big data in today’s business environment. 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 software, the book also retains its valued textbook quality through clear learning objectives and online end-of-chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and anyone wishing to understand or implement modern statistical process control techniques and data analytics.
Author : John Cunningham Wood
Publisher : Psychology Press
ISBN 13 : 9780415325714
Total Pages : 624 pages
Book Rating : 4.3/5 (257 download)
Download or read book Joseph M. Juran written by John Cunningham Wood and published by Psychology Press. This book was released on 2005 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than seventy years, the teachings and writings of Joseph M. Juran have had a profound impact on the quality of the products we buy and use everyday. This collection gathers together key material exploring the impact of Juran's ideas.
