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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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Detalles Bibliográficos
Autor principal: Muralidharan, K
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-81-322-2325-2
http://cds.cern.ch/record/2015373
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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.
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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