Statistical Process Control For Real World Applications
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Statistical Process Control For Real World Applications
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Author : William A. Levinson
language : en
Publisher: CRC Press
Release Date : 2010-12-21
Statistical Process Control For Real World Applications written by William A. Levinson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-21 with Business & Economics categories.
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 Analysis
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Author : Layth C. Alwan
language : en
Publisher: McGraw-Hill/Irwin
Release Date : 2000
Statistical Process Analysis written by Layth C. Alwan and has been published by McGraw-Hill/Irwin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
This comprehensive treatment of statistical process control methods applies techniques to real-world examples. It reviews basic statistics and the quality movement, and provides coverage of control charts and other data analytic techniques for controlling and analyzing processes.
Basic Statistical Tools For Improving Quality
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Author : Chang W. Kang
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-29
Basic Statistical Tools For Improving Quality written by Chang W. Kang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-29 with Technology & Engineering categories.
This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software.
Practical Statistical Process Control
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Author : Colin Hardwick
language : en
Publisher: CreateSpace
Release Date : 2014-10-22
Practical Statistical Process Control written by Colin Hardwick and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-22 with categories.
The tools and technique used in Statistical Process Control have been used around the world to monitor and measure process variation and allow real positive changes to be made. The majority of engineers and scientists have had some exposure to this important technique but in many cases this has been badly taught and they fail to see the usefulness of it properly applied. This book has been written with the authors 30 years experience in practical Statistical Process Control and is aimed squarely at practising engineers and scientists rather than statisticians and mathematicians. Practical Statistical Process Control takes a graphical approach using a software tool called Minitab. The author concentrates on each step of using the technique with explanations along the way of each decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and clear precise explanations. The emphasis is on understanding the technique and being able to use it in real world applications. Key points: * Provides tools and techniques for practical business and process improvement. * Introduces screenshots and explanations for each step of SPC including the importance of assessing the measurement system and constructing control charts. * A worked example, using Minitab sample data with clear explanations of the variables and analyses. This book will be extremely useful to engineers and scientists who want to solve quality, process and manufacturing problems quickly and easily.
Introduction To Statistical Quality Control
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Author : Douglas C. Montgomery
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-30
Introduction To Statistical Quality Control written by Douglas C. Montgomery and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-30 with Einführung categories.
"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."--
Introduction To Statistical Process Control
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Author : Peihua Qiu
language : en
Publisher: CRC Press
Release Date : 2013-10-14
Introduction To Statistical Process Control written by Peihua Qiu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-14 with Business & Economics categories.
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
Six Sigma And Beyond
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Author : D.H. Stamatis
language : en
Publisher: CRC Press
Release Date : 2001-10-30
Six Sigma And Beyond written by D.H. Stamatis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-30 with Business & Economics categories.
In all walks of life, at some point in time, we all use the process of problem solving. We all talk about it, we all use it, but chances are we all mean different things by it. Six Sigma and Beyond: Problem Solving and Basic Mathematics organizes the topic and provides a structured approach based on the scientific method. Specifically designed to address the issue of cognitive functioning this volume provides a generic approach to problem solving. The Six Sigma methodology demands that problems be resolved in such a way that both the customer and organization benefit. Not a bad expectation. In this book, the author addresses what a problem is and systematically defines the process of resolving it. He stresses the importance of the team - people power - dedicated to solving a specific problem - process power - and how this combination leads to efficiencies that please the customer and enhance the bottom line. Identifying the problem is only half the task. The next step is to resolve it. This book gives you a detailed rationale and a theoretical explanation of the problem solving process. It focuses on problem solving from a quality perspective and addresses key concepts in team dynamics. It provides an overview of the basic tools of problem solving. In addition, the author introduces the Global Problem Solving (GPS) process. This strategic program brings the focus of quality programs back to eliminating mistakes, waste, and rework. The book highlights the basic mathematics used in all phases of quality control. It introduces each mathematical concept, gives an example, and proceeds with several exercises that demonstrate the solution. With Six Sigma and Beyond: Problem Solving and Basic Mathematics you get the techniques and statistical tools to go beyond theory to real-world applications and take quality management to the next level.
Statistical Process Control
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Author : Robert James Oakland
language : en
Publisher: Routledge
Release Date : 2018-10-08
Statistical Process Control written by Robert James Oakland and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Business & Economics categories.
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 The Food Industry
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Author : Sarina A. Lim
language : en
Publisher: John Wiley & Sons
Release Date : 2019-02-25
Statistical Process Control For The Food Industry written by Sarina A. Lim and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-25 with Business & Economics categories.
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.
Statistical Quality Control
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Author : Bhisham C. Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-27
Statistical Quality Control written by Bhisham C. Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Technology & Engineering categories.
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.