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Statistical quality technologies: theory and practice

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to re...

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Detalles Bibliográficos
Autores principales: Lio, Yuhlong, Ng, Hon, Tsai, Tzong-Ru, Chen, Ding-Geng
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-20709-0
http://cds.cern.ch/record/2691374
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author Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
Chen, Ding-Geng
author_facet Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
Chen, Ding-Geng
author_sort Lio, Yuhlong
collection CERN
description This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2019
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spelling cern-26913742021-04-21T18:19:25Zdoi:10.1007/978-3-030-20709-0http://cds.cern.ch/record/2691374engLio, YuhlongNg, HonTsai, Tzong-RuChen, Ding-GengStatistical quality technologies: theory and practiceMathematical Physics and MathematicsThis book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.Springeroai:cds.cern.ch:26913742019
spellingShingle Mathematical Physics and Mathematics
Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
Chen, Ding-Geng
Statistical quality technologies: theory and practice
title Statistical quality technologies: theory and practice
title_full Statistical quality technologies: theory and practice
title_fullStr Statistical quality technologies: theory and practice
title_full_unstemmed Statistical quality technologies: theory and practice
title_short Statistical quality technologies: theory and practice
title_sort statistical quality technologies: theory and practice
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-20709-0
http://cds.cern.ch/record/2691374
work_keys_str_mv AT lioyuhlong statisticalqualitytechnologiestheoryandpractice
AT nghon statisticalqualitytechnologiestheoryandpractice
AT tsaitzongru statisticalqualitytechnologiestheoryandpractice
AT chendinggeng statisticalqualitytechnologiestheoryandpractice