Statistical Practice in Business And Industry

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.

The Editors, Shirley Coleman, Tony Greenfield, Dave Stewardson, and Douglas C. Montgomery, are section leaders in ENBIS — European Network for Business and Industrial Statistics — an organisation for the encouragement of exchange of ideas and methods of best practice between academia and industry across different countries.

Contributors	p. vii
Preface	p. xi
Introduction	p. 1
A History of Industrial Statistics	p. 15
Statistical Consultancy	p. 29
A Statistician in Industry	p. 29
Black Belt Types	p. 34
Statistical Consultancy Units at Universities	p. 41
Consultancy? ... What's in It for Me?	p. 53
The Statistical Efficiency Conjecture	p. 61
Management Statistics	p. 97
Service Quality	p. 117
Design and Analysis of Industrial Experiments	p. 137
Data Mining	p. 163
Using Statistical Process Control for Continual Improvement	p. 185
Advanced Statistical Process Control	p. 211
Measurement System Analysis	p. 239
Safety and Reliability	p. 307
Reliability Engineering: The State of the Art	p. 307
Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety	p. 317
Multivariate and Multiscale Data Analysis	p. 337
Simulation in Industrial Statistics	p. 371
Communication	p. 401
Index	p. 429
Table of Contents provided by Ingram. All Rights Reserved.

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Statistical Practice in Business And Industry

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Table of Contents

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