ENGLISH

Statistical case studies for industrial process improvement

By Veronica Czitrom , Patrick D. Spagon

Book information

Publisher
Society for Industrial and Applied Mathematics; American Statistical Association
Year
1987
ISBN
9780898713947, 0898713943
LCC
TS156.8 .C95 1997
Open Library ID
OL666884M
Language
english
Format
DJVU
Filesize
4 MB (3940497 bytes)
Series
ASA-SIAM series on statistics and applied probability
Edition
Pap/Cas
Pages
542\542
Time added
2009-08-06 05:14:26

Description

American industry is becoming more aware of the importance of applying statistical methods to improve its competitive edge in the world market. Examples of real industrial applications can serve as a major motivator for industries that want to increase their use of statistical methods. This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries.

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