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Statistical Case Studies for Industrial Process Improvement (ASA-SIAM Series on Statistics and Applied Probability)
Autor: Czitrom, Veronica. a Spagnon, Patrick D.
Rok: 1987
ISBN: 9780898713947
OKCZID: 110069447
Citace (dle ČSN ISO 690):
CZITROM, Veronica. Statistical case studies for industrial process improvement. Philadelphia: Society for Industrial and Applied Mathematics, c1997. xxi, 514 s. +. ASA-SIAM Series on Statistics and Applied Probability.
Anotace
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.