Description
Book SynopsisThis 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.
Trade Review"The book can be recommended to any interested in the application of statistical methods in business." (Statistical Papers, 6 July 2011)
Table of ContentsContents Contributors
Preface
1 Introduction
Shirley Coleman, Tony Fouweather and Dave Stewardson
2 A History of Industrial Statistics
Jeroen de Mast
3 Statistical Consultancy
3.I A Statistician in Industry
Ronald J.M.M. Does and Albert Trip
3.II Black Belt Types
Roland Caulcutt
3.III Statistical Consulstancy Units at Universities
Ronald J.M.M. Does and András Zempléni
3.IV Consultancy? . . . What's in It for Me?
Roland Caulcutt
4 The Statistical Efficiency Conjecture
Ron S. Kenett, Anne De Frenne, Xavier Tort-Martorell and Chris McCollin
5 Management Statistics
Irena Ograjenšek and Ron S. Kenett
6 Service Quality
Irena Ograjenšek
7 Design and Analysis of Industrial Experiments
Timothy J. Robinson
8 Data Mining
Paola Cerchiello, Silvia Figini and Paolo Giudici
9 Using Statistical Process Control for Continual Improvement
Donald J. Wheeler and Øystein Evandt
10 Advanced Statistical Process Control
Murat Kulahci and Connie Borror
11 Measurement System Analysis
Giulio Barbato, Grazia Vicario and Raffaello Levi
12 Safety and Reliability
12.I Reliability Engineering: The State of the Art
Chris McCollin
12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety
M. F. Ramalhoto
13 Multivariate and Multiscale Data Analysis
Marco P. Seabra dos Reis and Pedro M. Saraiva
14 Simulation in Industrial Statistics
David R´ıos Insua, Jorge Muruzabal, Jes´us Palomo, Fabrizio Ruggeri, Julio Holgado and Ra´ul Moreno
15 Communication
Tony Greenfield and John Logsdon Index
