| 书目名称 | Introduction to Engineering Statistics and Lean Sigma | | 副标题 | Statistical Quality | | 编辑 | Theodore T. Allen | | 视频video | | | 概述 | Second edition of a successful book expands on two major topics of increasing relevance to organizations: lean production and design for six sigma.Enables readers to identify which six sigma methods a | | 图书封面 |  | | 描述 | .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 increasingly linked with learning about the elements of lean production. .Introduction to Engineering Statistics and Lean Sigma. builds on the success of its first edition (.Introduction to Engineering Statistics and Six Sigma.) to reflect the growing importance of the "lean sigma" hybrid....As well as providing detailed definitions and case studies of all six sigma methods, .Introduction to Engineering Statistics and Lean Sigma. forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include:..• control charts and advanced control charts,..• failure mode and effects analysis,..• Taguchi methods,..• gauge R&R, and..• genetic algorithms...The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable pro | | 出版日期 | Textbook 20102nd edition | | 关键词 | Measure; algorithms; genetic algorithms; linear optimization; operations research; optimization; organizat | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-84996-000-7 | | isbn_ebook | 978-1-84996-000-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London L |
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发表于 2025-3-21 18:25:32
