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Six sigma for organizational excellence: a statistical approach
This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip...
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Lenguaje: | eng |
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Springer
2015
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Acceso en línea: | https://dx.doi.org/10.1007/978-81-322-2325-2 http://cds.cern.ch/record/2015373 |
_version_ | 1780946680651186176 |
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author | Muralidharan, K |
author_facet | Muralidharan, K |
author_sort | Muralidharan, K |
collection | CERN |
description | This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers. |
id | cern-2015373 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-20153732021-04-21T20:19:07Zdoi:10.1007/978-81-322-2325-2http://cds.cern.ch/record/2015373engMuralidharan, KSix sigma for organizational excellence: a statistical approachMathematical Physics and MathematicsThis book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.Springeroai:cds.cern.ch:20153732015 |
spellingShingle | Mathematical Physics and Mathematics Muralidharan, K Six sigma for organizational excellence: a statistical approach |
title | Six sigma for organizational excellence: a statistical approach |
title_full | Six sigma for organizational excellence: a statistical approach |
title_fullStr | Six sigma for organizational excellence: a statistical approach |
title_full_unstemmed | Six sigma for organizational excellence: a statistical approach |
title_short | Six sigma for organizational excellence: a statistical approach |
title_sort | six sigma for organizational excellence: a statistical approach |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-81-322-2325-2 http://cds.cern.ch/record/2015373 |
work_keys_str_mv | AT muralidharank sixsigmafororganizationalexcellenceastatisticalapproach |