Statistical Case Studies for Industrial Process Improvement
Veronica Czitrom · Patrick D. Spagon
Jan 1997 · ASA-SIAM Series on Statistics and Applied Probability Book 1 · SIAM
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541
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About this ebook
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. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.
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