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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 : William A. Levinson
Publisher : CRC Press
ISBN 13 : 1000656241
Total Pages : 99 pages
Book Rating : 4.0/5 (6 download)
Download or read book Short-Run SPC for Manufacturing and Quality Professionals written by William A. Levinson and published by CRC Press. This book was released on 2022-09-07 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the manufacturing shop floor, the principle of "value comes from the production of parts rather than charts" crucially applies when using practical statistical process control (SPC). The production worker should need to enter only a sample’s measurements to get immediately actionable information as to whether corrective action (e.g., as defined by a control plan’s reaction plan) is necessary for an out-of-control situation, and should not have to perform any calculations, draw control charts, or use sophisticated statistical software. This book’s key benefit for readers consists of spreadsheet-deployable solutions with all the mathematical precision of a vernier along with the simplicity of a stone ax. Traditional SPC relies on the assumption that sufficient data are available with which to estimate the process parameters and set suitable control limits. Many practical applications involve, however, short production runs for which no process history is available. There are nonetheless tested and practical control methods such as PRE-Control and short-run SPC that use the product specifications to set appropriate limits. PRE-Control relies solely on the specification limits while short-run SPC starts with the assumption that the process is capable—that is, at least a 4-sigma process, and works from there to set control limits. Cumulative Sum (CUSUM) and exponentially weighted moving average (EWMA) charts also can be used for this purpose. Specialized charts can also track multiple part characteristics, and parts with different specifications, simultaneously. This is often useful, for example, where the same tool is engaged in mixed-model production. Readers will be able to deploy practical and simple control charts for production runs for which no prior history is available and control the processes until enough data accumulate to enable the traditional methods (assuming it ever does). They will be able to track multiple product features with different specifications and also control mixed-model applications in which a tool generates very short runs of parts with different specifications. The methods will not require software beyond readily available spreadsheets, nor will they require specialized tables that are not widely available. Process owners and quality engineers will be able to perform all supporting calculations in Microsoft Excel, and without the need for advanced software.
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 : Stephen A. Wise
Publisher : Quality Press
ISBN 13 : 1636940803
Total Pages : 291 pages
Book Rating : 4.6/5 (369 download)
Download or read book Innovative Control Charting written by Stephen A. Wise and published by Quality Press. This book was released on 2006-06-30 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for the quality professional with a basic understanding of traditional SPC, this book presents solutions for the problems encountered when trying to apply traditional control charting techniques in a complex manufacturing environment. Anyone using SPC who has felt limited by its traditional methods will find this book timely and beneficial. Along with basic SPC topics such as, control chart theories, process capability studies, data collection strategies, and sampling, this book concentrates on describing tools which solve the limitations of traditional SPC techniques. Specifically designed for those who face the challenges of limited data collection opportunities, small production runs, multiple characteristics, and demanding manufacturing situations, Innovative Control Charting will become a favorite, modern SPC reference. Benefits: Discover how SPC can be effectively applied even with complex parts, numerous part dimensions, similar but different characteristics, and small lot sizes. Learn how to overcome the three main limitations of traditional SPC techniques. Explore new SPC techniques in a step-by-step analysis approach using real-life examples.
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 : 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 : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1119657075
Total Pages : 772 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 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--
Author : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1482220415
Total Pages : 520 pages
Book Rating : 4.4/5 (822 download)
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
Author : Sarina A. Lim
Publisher : John Wiley & Sons
ISBN 13 : 1119152003
Total Pages : 194 pages
Book Rating : 4.1/5 (191 download)
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 194 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 : Donald J. Wheeler
Publisher :
ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.3/5 ( download)
Download or read book Understanding Variation written by Donald J. Wheeler and published by . This book was released on 1993 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides techniques to become numerically literate and able to understand and digest data.
Author : Emilio L. Cano
Publisher : Springer
ISBN 13 : 3319240463
Total Pages : 373 pages
Book Rating : 4.3/5 (192 download)
Download or read book Quality Control with R written by Emilio L. Cano and published by Springer. This book was released on 2015-11-20 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.
Author : Brenda S. Ramirez, M.S.
Publisher : SAS Institute
ISBN 13 : 1635268230
Total Pages : 444 pages
Book Rating : 4.6/5 (352 download)
Download or read book Douglas Montgomery's Introduction to Statistical Quality Control written by Brenda S. Ramirez, M.S. and published by SAS Institute. This book was released on 2018-10-04 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book. The authors combine their many years of experience as passionate practitioners of SQC and their expertise using JMP to highlight the recent advances in JMP’s Analyze menu, and in particular, Quality and Process. Key JMP platforms include: Control Chart Builder CUSUM Control Chart Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM) Process Screening Process Capability Measurement System Analysis Time Series Multivariate Control Chart Multivariate and Principal Components Distribution For anyone who wants to learn how to use JMP to more easily explore data using tools associated with Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Advanced Statistical Process Control, and Process Health Assessment, this book is a must!
Author : Bert Keats
Publisher : CRC Press
ISBN 13 : 1000147150
Total Pages : 317 pages
Book Rating : 4.0/5 (1 download)
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 : Amy Liptrot
Publisher : W. W. Norton & Company
ISBN 13 : 0393609006
Total Pages : 247 pages
Book Rating : 4.3/5 (936 download)
Download or read book The Outrun: A Memoir written by Amy Liptrot and published by W. W. Norton & Company. This book was released on 2017-04-25 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: “It’s wild writing: sexy, unguarded, raw, and ardent … highly recommended.”—The Millions After a decade of heavy partying and hard drinking in London, Amy Liptrot returns home to Orkney, a remote island off the north of Scotland. The Outrun maps Amy’s inspiring recovery as she walks along windy coasts, swims in icy Atlantic waters, tracks Orkney’s wildlife, and reconnects with her parents, revisiting and rediscovering the place that shaped her. A Guardian Best Nonfiction Book of 2016 Sunday Times Top Ten Bestseller New Statesman Book of the Year
Author : Richard McElreath
Publisher : CRC Press
ISBN 13 : 1315362619
Total Pages : 488 pages
Book Rating : 4.3/5 (153 download)
Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Author : John Lawson
Publisher : CRC Press
ISBN 13 : 1000336557
Total Pages : 299 pages
Book Rating : 4.0/5 (3 download)
Download or read book An Introduction to Acceptance Sampling and SPC with R written by John Lawson and published by CRC Press. This book was released on 2021-02-25 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier. In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies. This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics.
