Statistical Practice in Business And Industry

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Edition: 1st
Format: Hardcover
Pub. Date: 2008-04-21
Publisher(s): WILEY
List Price: $157.81

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Summary

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. 

Author Biography

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.

Table of Contents

Contributorsp. vii
Prefacep. xi
Introductionp. 1
A History of Industrial Statisticsp. 15
Statistical Consultancyp. 29
A Statistician in Industryp. 29
Black Belt Typesp. 34
Statistical Consultancy Units at Universitiesp. 41
Consultancy? ... What's in It for Me?p. 53
The Statistical Efficiency Conjecturep. 61
Management Statisticsp. 97
Service Qualityp. 117
Design and Analysis of Industrial Experimentsp. 137
Data Miningp. 163
Using Statistical Process Control for Continual Improvementp. 185
Advanced Statistical Process Controlp. 211
Measurement System Analysisp. 239
Safety and Reliabilityp. 307
Reliability Engineering: The State of the Artp. 307
Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safetyp. 317
Multivariate and Multiscale Data Analysisp. 337
Simulation in Industrial Statisticsp. 371
Communicationp. 401
Indexp. 429
Table of Contents provided by Ingram. All Rights Reserved.

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