Experimental Quality: A strategic approach to achieve and improve quality
Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statist...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines |
| Beschreibung: | 1 Online-Ressource (XV, 254 p) |
| ISBN: | 9781461552932 |
| DOI: | 10.1007/978-1-4615-5293-2 |
Internformat
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| 520 | |a Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines | ||
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| 650 | 4 | |a Mechanical Engineering | |
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| 650 | 4 | |a Mechanical engineering | |
| 650 | 4 | |a Quality control | |
| 650 | 4 | |a Reliability | |
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| author | Antony, Jiju Kaye, Mike |
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| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-4615-5293-2 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
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| isbn | 9781461552932 |
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| spelling | Antony, Jiju Verfasser aut Experimental Quality A strategic approach to achieve and improve quality by Jiju Antony, Mike Kaye 1st ed. 2000 New York, NY Springer US 2000 1 Online-Ressource (XV, 254 p) txt rdacontent c rdamedia cr rdacarrier Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines Operations Management Mechanical Engineering Quality Control, Reliability, Safety and Risk Statistics, general Production management Mechanical engineering Quality control Reliability Industrial safety Statistics Methode (DE-588)4038971-6 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 s Methode (DE-588)4038971-6 s DE-604 Kaye, Mike aut Erscheint auch als Druck-Ausgabe 9780412814402 Erscheint auch als Druck-Ausgabe 9781461374152 Erscheint auch als Druck-Ausgabe 9781461552949 https://doi.org/10.1007/978-1-4615-5293-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Antony, Jiju Kaye, Mike Experimental Quality A strategic approach to achieve and improve quality Operations Management Mechanical Engineering Quality Control, Reliability, Safety and Risk Statistics, general Production management Mechanical engineering Quality control Reliability Industrial safety Statistics Methode (DE-588)4038971-6 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4182962-1 |
| title | Experimental Quality A strategic approach to achieve and improve quality |
| title_auth | Experimental Quality A strategic approach to achieve and improve quality |
| title_exact_search | Experimental Quality A strategic approach to achieve and improve quality |
| title_exact_search_txtP | Experimental Quality A strategic approach to achieve and improve quality |
| title_full | Experimental Quality A strategic approach to achieve and improve quality by Jiju Antony, Mike Kaye |
| title_fullStr | Experimental Quality A strategic approach to achieve and improve quality by Jiju Antony, Mike Kaye |
| title_full_unstemmed | Experimental Quality A strategic approach to achieve and improve quality by Jiju Antony, Mike Kaye |
| title_short | Experimental Quality |
| title_sort | experimental quality a strategic approach to achieve and improve quality |
| title_sub | A strategic approach to achieve and improve quality |
| topic | Operations Management Mechanical Engineering Quality Control, Reliability, Safety and Risk Statistics, general Production management Mechanical engineering Quality control Reliability Industrial safety Statistics Methode (DE-588)4038971-6 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd |
| topic_facet | Operations Management Mechanical Engineering Quality Control, Reliability, Safety and Risk Statistics, general Production management Mechanical engineering Quality control Reliability Industrial safety Statistics Methode Statistische Qualitätskontrolle |
| url | https://doi.org/10.1007/978-1-4615-5293-2 |
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