Statistical Process Control

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Introduction to Statistical Process Control

Author : Muhammad Aslam
Publisher : John Wiley & Sons
ISBN 13 : 1119528453
Total Pages : 288 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Introduction to Statistical Process Control by : Muhammad Aslam

Download or read book Introduction to Statistical Process Control written by Muhammad Aslam and published by John Wiley & Sons. This book was released on 2020-09-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures. This eight-chapter reference breaks information down into digestible sections and covers topics including: ● An introduction to the basics as well as a background of control charts ● Widely used and newly researched attributes of control charts, including guidelines for implementation ● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states ● An overview of attribute control charts based on memory statistics ● The development of control charts using EQMA statistics For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.

Introduction to Statistical Process Control

Author : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1482220415
Total Pages : 520 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Statistical Process Control by : Peihua Qiu

Download or read book Introduction to Statistical Process Control written by Peihua Qiu and published by CRC Press. This book was released on 2013-10-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon

Statistical Process Control

Author : Robert James Oakland
Publisher : Routledge
ISBN 13 : 1351662686
Total Pages : 430 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Statistical Process Control by : Robert James Oakland

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.

Statistical Process Control for Managers

Author : Victor E. Sower
Publisher : Business Expert Press
ISBN 13 : 1606498479
Total Pages : 176 pages
Book Rating : 4.6/5 (64 download)

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Book Synopsis Statistical Process Control for Managers by : Victor E. Sower

Download or read book Statistical Process Control for Managers written by Victor E. Sower and published by Business Expert Press. This book was released on 2014-08-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations. It provides you with a conceptual understanding of SPC so that appropriate decisions can be made about the benefits of incorporating SPC into the process management and quality improvement processes. Today, there is little need to make the necessary calculations by hand, so the author utilizes Minitab and NWA Quality Analyst—two of the most popular statistical analysis software packages on the market. Links are provided to the home pages of these software packages where trial versions may be downloaded for evaluation and trial use. The book also addresses the question of why SPC should be considered for use, the process of implementing SPC, how to incorporate SPC into problem identification, problem solving, and the management and improvement of processes, products, and services.

Understanding Statistical Process Control

Author : Donald J. Wheeler
Publisher : SPC Press, Incorporated
ISBN 13 : 9780945320692
Total Pages : 0 pages
Book Rating : 4.3/5 (26 download)

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Book Synopsis Understanding Statistical Process Control by : Donald J. Wheeler

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:

Introduction to Statistical Quality Control

Author : Christina M. Mastrangelo
Publisher : Wiley
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Introduction to Statistical Quality Control by : Christina M. Mastrangelo

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.

Statistical Process Control Demystified

Author : Paul A. Keller
Publisher : McGraw Hill Professional
ISBN 13 : 0071742506
Total Pages : 319 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Statistical Process Control Demystified by : Paul A. Keller

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.

Statistical Process Control for Real-World Applications

Author : William A. Levinson
Publisher : CRC Press
ISBN 13 : 1439820015
Total Pages : 272 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical Process Control for Real-World Applications by : William A. Levinson

Download or read book Statistical Process Control for Real-World Applications written by William A. Levinson and published by CRC Press. This book was released on 2010-12-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and custom

Statistical Process Control and Quality Improvement

Author : Gerald Smith
Publisher : Macmillan College
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.X/5 (2 download)

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Book Synopsis Statistical Process Control and Quality Improvement by : Gerald Smith

Download or read book Statistical Process Control and Quality Improvement written by Gerald Smith and published by Macmillan College. This book was released on 1995 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Statistical Process Control with Industrial Applications

Author : Robert L. Mason
Publisher : SIAM
ISBN 13 : 0898714966
Total Pages : 271 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Multivariate Statistical Process Control with Industrial Applications by : Robert L. Mason

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.

Statistical Process Control in Automated Manufacturing

Author : Bert Keats
Publisher : CRC Press
ISBN 13 : 1000147150
Total Pages : 317 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Statistical Process Control in Automated Manufacturing by : Bert Keats

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.

Mastering Statistical Process Control

Author : Tim Stapenhurst
Publisher : Routledge
ISBN 13 : 113637910X
Total Pages : 498 pages
Book Rating : 4.1/5 (363 download)

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Book Synopsis Mastering Statistical Process Control by : Tim Stapenhurst

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

Measuring the Software Process

Author : William A. Florac
Publisher : Addison-Wesley Professional
ISBN 13 : 0768684951
Total Pages : 280 pages
Book Rating : 4.7/5 (686 download)

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Book Synopsis Measuring the Software Process by : William A. Florac

Download or read book Measuring the Software Process written by William A. Florac and published by Addison-Wesley Professional. This book was released on 1999-07-15 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: "While it is usually helpful to launch improvement programs, many such programs soon get bogged down in detail. They either address the wrong problems, or they keep beating on the same solutions, wondering why things don't improve. This is when you need an objective way to look at the problems. This is the time to get some data." Watts S. Humphrey, from the Foreword This book, drawing on work done at the Software Engineering Institute and other organizations, shows how to use measurements to manage and improve software processes. The authors explain specifically how quality characteristics of software products and processes can be quantified, plotted, and analyzed so the performance of software development activities can be predicted, controlled, and guided to achieve both business and technical goals. The measurement methods presented, based on the principles of statistical quality control, are illuminated by application examples taken from industry. Although many of the methods discussed are applicable to individual projects, the book's primary focus is on the steps software development organizations can take toward broad-reaching, long-term success. The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process performance. Highlights of the book include: Insight into developing a clear framework for measuring process behavior Discussions of process performance, stability, compliance, capability, and improvement Explanations of what you want to measure (and why) and instructions on how to collect your data Step-by-step guidance on how to get started using statistical process control If you have responsibilities for product quality or process performance and you are ready to use measurements to manage, control, and predict your software processes, this book will be an invaluable resource.

Nonparametric Statistical Process Control

Author : Subhabrata Chakraborti
Publisher : John Wiley & Sons
ISBN 13 : 1118456033
Total Pages : 448 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Nonparametric Statistical Process Control by : Subhabrata Chakraborti

Download or read book Nonparametric Statistical Process Control written by Subhabrata Chakraborti and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 448 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.

Statistical Process Control in Manufacturing

Author : J. Bert Keats
Publisher : CRC Press
ISBN 13 : 9780824784676
Total Pages : 392 pages
Book Rating : 4.7/5 (846 download)

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Book Synopsis Statistical Process Control in Manufacturing by : J. Bert Keats

Download or read book Statistical Process Control in Manufacturing written by J. Bert Keats and published by CRC Press. This book was released on 1991-01-24 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection reports on recent developments and applications in statistical process control and statistical design of experiments, and discusses process capability, analysis and improvement. Providing approaches primarily for discrete manufacturing operations, the volume supplies practical techni

Statistical Process Control for the Food Industry

Author : Sarina A. Lim
Publisher : John Wiley & Sons
ISBN 13 : 1119152003
Total Pages : 188 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Statistical Process Control for the Food Industry by : Sarina A. Lim

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.

Multivariate Statistical Process Control

Author : Zhiqiang Ge
Publisher : Springer Science & Business Media
ISBN 13 : 1447145135
Total Pages : 204 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Multivariate Statistical Process Control by : Zhiqiang Ge

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.