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Statistical Case Studies for Industrial Process Improvement

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Statistical Case Studies for Industrial Process Improvement by Veronica Czitrom
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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.
Release date NZ
January 1st, 1987
Contributor
Series edited by Martin Wells
Country of Publication
United States
Imprint
Society for Industrial & Applied Mathematics,U.S.
Pages
542
Dimensions
152x228x20
ISBN-13
9780898713947
Product ID
1836128

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