Evolutionary operation : a statistical method for process improvement

書誌事項

Evolutionary operation : a statistical method for process improvement

George Box, Norman R. Draper

(Wiley classics library)(A Wiley publication in applied statistics)

Wiley, 1998, c1969

Wiley classics library ed

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注記

"A Wiley-Interscience publication"

Includes bibliographical references (p. 227-231) and index

内容説明・目次

内容説明

This book is about the philosophy and practice of Evolutionary Operation (called EVOP for short), a simple but powerful statistical tool with wide application in industry. Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP, however, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap enormous additional rewards.

目次

The Basic Ideas. Simple Statistical Principles on Which EVOP is Based. The 2^2 and 2^3 Factorial Designs. Worksheets for Two-Variable EVOP Programs. Worksheets for Three-Variable EVOP Programs. Some Aspects of the Organization of Evolutionary Operation. EVOP, Optimization, and Variations of EVOP. Comments and Questions on EVOP. Appendices. Tables. References and Bibliography. Index.

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