Evolutionary Operation: A Statistical Method for Process Improvement / Edition 1

Evolutionary Operation: A Statistical Method for Process Improvement / Edition 1

by George E. P. Box, Norman R. Draper
     
 

ISBN-10: 0471255513

ISBN-13: 9780471255512

Pub. Date: 03/09/1998

Publisher: Wiley

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

Overview

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.

Product Details

ISBN-13:
9780471255512
Publisher:
Wiley
Publication date:
03/09/1998
Series:
Wiley Classics Library Series, #67
Pages:
237
Product dimensions:
6.10(w) x 9.20(h) x 0.70(d)

Table of Contents

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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