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Author : Gary K. Griffith
Publisher : Asq Press
ISBN 13 : 9780873890632
Total Pages : 164 pages
Book Rating : 4.8/5 (96 download)
Download or read book Statistical Process Control Methods for Long and Short Runs written by Gary K. Griffith and published by Asq Press. This book was released on 1989-01-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : D.H. Stamatis
Publisher : CRC Press
ISBN 13 : 1420000276
Total Pages : 522 pages
Book Rating : 4.4/5 (2 download)
Download or read book Six Sigma and Beyond written by D.H. Stamatis and published by CRC Press. This book was released on 2002-09-25 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume of the Six Sigma and Beyond series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control (SPC) relates to Six Sigma. He emphasizes the "why we do" and "how to do" SPC in many different environments. The book provides readers with an overview of SPC in easy-to-follow, easy-to-understand terms. The author reviews and explains traditional SPC tools and how they relate to Six Sigma and goes on to cover the use of advanced techniques. In addition, he addresses issues that concern service SPC and short run processes, explores the issue of capability for both the short run and the long run, and discusses topics in measurement.
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 : Leonard A. Doty
Publisher : Industrial Press Inc.
ISBN 13 : 9780831130695
Total Pages : 396 pages
Book Rating : 4.1/5 (36 download)
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 : Dan Bitner
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.:/5 (253 download)
Download or read book A Compilation of Statistical Process Control Charting Techniques for Short Production Runs written by Dan Bitner and published by . This book was released on 1990 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Donald J. Wheeler
Publisher : Spc Press
ISBN 13 : 9780945320128
Total Pages : 62 pages
Book Rating : 4.3/5 (21 download)
Download or read book Short Run SPC written by Donald J. Wheeler and published by Spc Press. This book was released on 1991-01-01 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 : Subhabrata Chakraborti
Publisher : John Wiley & Sons
ISBN 13 : 1118890671
Total Pages : 452 pages
Book Rating : 4.1/5 (188 download)
Download or read book Nonparametric Statistical Process Control written by Subhabrata Chakraborti and published by John Wiley & Sons. This book was released on 2019-02-12 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies Statistical Process Control (SPC) methods have a long and successful history and have revolutionized many facets of industrial production around the world. This book addresses recent developments in statistical process control bringing the modern use of computers and simulations along with theory within the reach of both the researchers and practitioners. The emphasis is on the burgeoning field of nonparametric SPC (NSPC) and the many new methodologies developed by researchers worldwide that are revolutionizing SPC. Over the last several years research in SPC, particularly on control charts, has seen phenomenal growth. Control charts are no longer confined to manufacturing and are now applied for process control and monitoring in a wide array of applications, from education, to environmental monitoring, to disease mapping, to crime prevention. This book addresses quality control methodology, especially control charts, from a statistician’s viewpoint, striking a careful balance between theory and practice. Although the focus is on the newer nonparametric control charts, the reader is first introduced to the main classes of the parametric control charts and the associated theory, so that the proper foundational background can be laid. Reviews basic SPC theory and terminology, the different types of control charts, control chart design, sample size, sampling frequency, control limits, and more Focuses on the distribution-free (nonparametric) charts for the cases in which the underlying process distribution is unknown Provides guidance on control chart selection, choosing control limits and other quality related matters, along with all relevant formulas and tables Uses computer simulations and graphics to illustrate concepts and explore the latest research in SPC Offering a uniquely balanced presentation of both theory and practice, Nonparametric Methods for Statistical Quality Control is a vital resource for students, interested practitioners, researchers, and anyone with an appropriate background in statistics interested in learning about the foundations of SPC and latest developments in NSPC.
Author : J. Bert Keats
Publisher : CRC Press
ISBN 13 : 9780824797119
Total Pages : 530 pages
Book Rating : 4.7/5 (971 download)
Download or read book Statistical Applications in Process Control written by J. Bert Keats and published by CRC Press. This book was released on 1996-03-15 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.
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 : Naveen Kumar
Publisher :
ISBN 13 :
Total Pages : 119 pages
Book Rating : 4.:/5 (58 download)
Download or read book Evaluating Statistical Process Control Techniques for Short Run Production written by Naveen Kumar and published by . This book was released on 2002 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1119657113
Total Pages : 773 pages
Book Rating : 4.1/5 (196 download)
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 2019-12-30 with total page 773 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, provides students with a solid base of conceptual and practical knowledge."--
Author : Tim Stapenhurst
Publisher : Routledge
ISBN 13 : 113637910X
Total Pages : 498 pages
Book Rating : 4.1/5 (363 download)
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 498 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 : Eugene L. Grant
Publisher :
ISBN 13 :
Total Pages : 684 pages
Book Rating : 4.:/5 (438 download)
Download or read book Statistical quality control written by Eugene L. Grant and published by . This book was released on 1985 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : British Standards Institute Staff
Publisher :
ISBN 13 : 9780580530043
Total Pages : 40 pages
Book Rating : 4.5/5 (3 download)
Download or read book Guide to Statistical Process Control (SPC) Charts for Variables. Charting Techniques for Short Runs and Small Mixed Batches written by British Standards Institute Staff and published by . This book was released on 2008-04-30 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical quality control, Quality control, Statistical methods of analysis, Process control, Variable, Charts, Process charts, Production, Quality assurance, Data representation
Author : R.J. Does
Publisher : Springer Science & Business
ISBN 13 : 9780792355700
Total Pages : 266 pages
Book Rating : 4.3/5 (557 download)
Download or read book Statistical Process Control in Industry written by R.J. Does and published by Springer Science & Business. This book was released on 1999-01-31 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
Author : Ellis R. Ott
Publisher : Quality Press
ISBN 13 : 1953079857
Total Pages : 673 pages
Book Rating : 4.9/5 (53 download)
Download or read book Process Quality Control written by Ellis R. Ott and published by Quality Press. This book was released on 2005-02-08 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data.In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.
