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Statistical quality control: a loss minimization approach

While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need t...

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Autor principal: Trietsch, Dan
Lenguaje:eng
Publicado: World Scientific 1999
Materias:
Acceso en línea:http://cds.cern.ch/record/1604138
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author Trietsch, Dan
author_facet Trietsch, Dan
author_sort Trietsch, Dan
collection CERN
description While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv)
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institution Organización Europea para la Investigación Nuclear
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publishDate 1999
publisher World Scientific
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spelling cern-16041382021-04-21T22:24:52Zhttp://cds.cern.ch/record/1604138engTrietsch, DanStatistical quality control: a loss minimization approachMathematical Physics and MathematicsWhile many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv)World Scientificoai:cds.cern.ch:16041381999
spellingShingle Mathematical Physics and Mathematics
Trietsch, Dan
Statistical quality control: a loss minimization approach
title Statistical quality control: a loss minimization approach
title_full Statistical quality control: a loss minimization approach
title_fullStr Statistical quality control: a loss minimization approach
title_full_unstemmed Statistical quality control: a loss minimization approach
title_short Statistical quality control: a loss minimization approach
title_sort statistical quality control: a loss minimization approach
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1604138
work_keys_str_mv AT trietschdan statisticalqualitycontrolalossminimizationapproach