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Titlebook: Introduction to Engineering Statistics and Lean Six Sigma; Statistical Quality Theodore T. Allen Textbook 2019Latest edition Springer-Verl

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发表于 2025-3-21 17:06:26 | 显示全部楼层 |阅读模式
书目名称Introduction to Engineering Statistics and Lean Six Sigma
副标题Statistical Quality
编辑Theodore T. Allen
视频videohttp://file.papertrans.cn/474/473676/473676.mp4
概述The third edition of this successful textbook adds further material on management, change management, and human factors.Includes summaries and review examples plus problems and their solutions.Enables
图书封面Titlebook: Introduction to Engineering Statistics and Lean Six Sigma; Statistical Quality  Theodore T. Allen Textbook 2019Latest edition Springer-Verl
描述.This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. .Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming‘s philosophy, human factors engineering, and the motivating potential score – the material is tied more directly to the Certified Quality Engineer (CQE) exam. .New sections that explore motivation and change management, which are critical subjects for ac
出版日期Textbook 2019Latest edition
关键词genetic algorithms; linear optimization; operations research and lean sigma; optimization; analysis of v
版次3
doihttps://doi.org/10.1007/978-1-4471-7420-2
isbn_ebook978-1-4471-7420-2
copyrightSpringer-Verlag London Ltd., part of Springer Nature 2019
The information of publication is updating

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发表于 2025-3-21 22:08:53 | 显示全部楼层
Measure Phase and Statistical Chartingbles (KOVs) before changes are made. This information aids in evaluating effects of project-related changes and assuring that the project team is not harming the system. In general, quantitative evaluation of performance and improvement is critical for the acceptance of project recommendations. The more data, the less disagreement.
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Control or Verify Phaselly increase quality and that they continue to do so. If the associated project involves new product or service design, this phase also involves confirmation. Since there is less emphasis on evaluating a process on an on-going basis, the term “.” refers evaluation on a one-time, off-line basis.
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DOE: The Jewel of Quality Engineeringexperimental planning, conducting experiments, and fitting models to the outputs. An essential ingredient in applying DOE methods is the use of procedure called “randomization” which is defined at the end of this chapter. To preview, randomization involves making many experimental planning decisions using a random or unpatterned approach.
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Regressionribed. Regression methods are perhaps the most widely used statistics or operations research techniques. Also, even though some people think of regression as merely the “curve fitting method” in Excel, the methods are surprisingly subtle with much potential for misuse (and benefit).
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