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.

A selection of studies by professionals in the semiconductor industry illustrating the use of statistical methods to improve manufacturing processes.
Reviews
'A wonderful collection of superbly documented industrial statistical experiences ... This book will inspire experienced researchers. Beginners, in addition, will learn a good deal about statistical techniques for industrial problem solving.' Lloyd S. Nelson, Journal of Quality Technology
' ... A good investment for those who are directly involved in the study or application of statistical methods.' George G. R. Maharage, Manufacturing Engineer



Book Information
ISBN 9780898713947
Author Veronica Czitrom
Format Paperback
Page Count 542
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 622g
Dimensions(mm) 250mm * 180mm * 20mm