Statistical Process Control

Author : Muhammad Aslam,Aamir Saghir,Liaquat Ahmad
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 44,5 Mb
Release : 2020-09-16
Category : Mathematics
ISBN : 9781119528456

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Introduction to Statistical Process Control by Muhammad Aslam,Aamir Saghir,Liaquat Ahmad Pdf

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.

Author : Robert James Oakland,John S Oakland
Publisher : Routledge
Page : 430 pages
File Size : 46,5 Mb
Release : 2018-10-08
Category : Business & Economics
ISBN : 9781351662680

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Statistical Process Control by Robert James Oakland,John S Oakland Pdf

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 : Peihua Qiu
Publisher : CRC Press
Page : 520 pages
File Size : 51,7 Mb
Release : 2013-10-14
Category : Business & Economics
ISBN : 9781482220414

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Introduction to Statistical Process Control by Peihua Qiu Pdf

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

Author : Christina M. Mastrangelo,Douglas C. Montgomery
Publisher : Wiley
Page : 244 pages
File Size : 52,6 Mb
Release : 1991
Category : Business & Economics
ISBN : PSU:000024589727

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Introduction to Statistical Quality Control by Christina M. Mastrangelo,Douglas C. Montgomery Pdf

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 : William A. Levinson
Publisher : CRC Press
Page : 272 pages
File Size : 54,5 Mb
Release : 2010-12-21
Category : Business & Economics
ISBN : 9781439820018

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Statistical Process Control for Real-World Applications by William A. Levinson Pdf

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

Author : Donald J. Wheeler,David Smith Chambers
Publisher : SPC Press, Incorporated
Page : 0 pages
File Size : 45,8 Mb
Release : 2010
Category : Process control
ISBN : 0945320698

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Understanding Statistical Process Control by Donald J. Wheeler,David Smith Chambers Pdf

Author : Victor E. Sower
Publisher : Business Expert Press
Page : 176 pages
File Size : 43,8 Mb
Release : 2014-08-31
Category : Business & Economics
ISBN : 9781606498477

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Statistical Process Control for Managers by Victor E. Sower Pdf

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.

Author : Tim Stapenhurst
Publisher : Routledge
Page : 498 pages
File Size : 54,8 Mb
Release : 2013-05-13
Category : Business & Economics
ISBN : 9781136379109

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Mastering Statistical Process Control by Tim Stapenhurst Pdf

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 : Subhabrata Chakraborti,Marien Graham
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 55,9 Mb
Release : 2019-04-29
Category : Mathematics
ISBN : 9781118456033

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Nonparametric Statistical Process Control by Subhabrata Chakraborti,Marien Graham Pdf

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 : Zhiqiang Ge,Zhihuan Song
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 45,5 Mb
Release : 2012-11-28
Category : Technology & Engineering
ISBN : 9781447145134

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Multivariate Statistical Process Control by Zhiqiang Ge,Zhihuan Song Pdf

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 : Bert Keats
Publisher : CRC Press
Page : 317 pages
File Size : 44,5 Mb
Release : 2020-11-26
Category : Business & Economics
ISBN : 9781000147155

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Statistical Process Control in Automated Manufacturing by Bert Keats Pdf

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 : Sarina A. Lim,Jiju Antony
Publisher : John Wiley & Sons
Page : 188 pages
File Size : 54,6 Mb
Release : 2019-02-25
Category : Business & Economics
ISBN : 9781119152002

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Statistical Process Control for the Food Industry by Sarina A. Lim,Jiju Antony Pdf

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 : Gerald Smith
Publisher : Macmillan College
Page : 600 pages
File Size : 44,7 Mb
Release : 1995
Category : Business & Economics
ISBN : UVA:X002705360

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Statistical Process Control and Quality Improvement by Gerald Smith Pdf

Author : Leonard A. Doty
Publisher : Industrial Press Inc.
Page : 396 pages
File Size : 48,6 Mb
Release : 1996
Category : Business & Economics
ISBN : 0831130695

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Statistical Process Control by Leonard A. Doty Pdf

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 : Paul A. Keller
Publisher : McGraw Hill Professional
Page : 319 pages
File Size : 40,9 Mb
Release : 2011-06-05
Category : Business & Economics
ISBN : 9780071742504

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Statistical Process Control Demystified by Paul A. Keller Pdf

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.