Statistical case studies for industrial process improvement
Veronica Czitrom, Patrick D. Spagon
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.
Categories:
Year:
1987
Edition:
Pap/Cas
Publisher:
Society for Industrial and Applied Mathematics; American Statistical Association
Language:
english
Pages:
542
ISBN 10:
0898713943
ISBN 13:
9780898713947
Series:
ASA-SIAM series on statistics and applied probability
File:
DJVU, 4.48 MB
IPFS:
,
english, 1987