Quality Control, Robust Design, and the Taguchi Method:
In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Qu...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1989
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| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity "signal-ta-noise" ratio was to be optimized. Since then, this experi mental approach has been named "robust design" and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation |
| Beschreibung: | 1 Online-Ressource (XXIV, 309 p) |
| ISBN: | 9781468414721 |
| DOI: | 10.1007/978-1-4684-1472-1 |
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| spelling | Quality Control, Robust Design, and the Taguchi Method edited by Khosrow Dehnad Boston, MA Springer US 1989 1 Online-Ressource (XXIV, 309 p) txt rdacontent c rdamedia cr rdacarrier In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity "signal-ta-noise" ratio was to be optimized. Since then, this experi mental approach has been named "robust design" and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation Engineering Quality Control, Reliability, Safety and Risk Science, general Science Quality control Reliability Industrial safety Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 s Versuchsplanung (DE-588)4078859-3 s 1\p DE-604 Qualitätskontrolle (DE-588)4047968-7 s 2\p DE-604 Dehnad, Khosrow edt Erscheint auch als Druck-Ausgabe 9781468414745 https://doi.org/10.1007/978-1-4684-1472-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Quality Control, Robust Design, and the Taguchi Method Engineering Quality Control, Reliability, Safety and Risk Science, general Science Quality control Reliability Industrial safety Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| subject_GND | (DE-588)4047968-7 (DE-588)4182962-1 (DE-588)4078859-3 |
| title | Quality Control, Robust Design, and the Taguchi Method |
| title_auth | Quality Control, Robust Design, and the Taguchi Method |
| title_exact_search | Quality Control, Robust Design, and the Taguchi Method |
| title_full | Quality Control, Robust Design, and the Taguchi Method edited by Khosrow Dehnad |
| title_fullStr | Quality Control, Robust Design, and the Taguchi Method edited by Khosrow Dehnad |
| title_full_unstemmed | Quality Control, Robust Design, and the Taguchi Method edited by Khosrow Dehnad |
| title_short | Quality Control, Robust Design, and the Taguchi Method |
| title_sort | quality control robust design and the taguchi method |
| topic | Engineering Quality Control, Reliability, Safety and Risk Science, general Science Quality control Reliability Industrial safety Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| topic_facet | Engineering Quality Control, Reliability, Safety and Risk Science, general Science Quality control Reliability Industrial safety Qualitätskontrolle Statistische Qualitätskontrolle Versuchsplanung |
| url | https://doi.org/10.1007/978-1-4684-1472-1 |
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