Statistical Practice in Business and Industry. Statistics in Practice
- ID: 2170244
- March 2008
- 450 Pages
- John Wiley and Sons Ltd
Statistical methods are applied widely in industry, particularly in manufacturing processes, to provide authoritative methods for quality control and thus improve productivity and efficiency. The various methods range from graphical approaches to generalised modelling, and from designed experiments to process control. Statistical Practice in Business and Industry presents the latest advances in the application of statistical and optimisation methods within modern industry, alongside more established methods. Methods are demonstrated across a wide range of real–life applications from fields including finance, e–commerce, micro–electronics, chemical and automotive engineering, component assembly, household goods and plastics manufacturing. Each topic is investigated by an expert in that field, facilitating a comprehensive understanding of how statistical methods benefit business and industry.
Provides comprehensive coverage of the essential statistical methods applied in industry.
Presents user–friendly practical guidance on the applications of the methods.
Adopts a graphical approach, helping the non–statistician to fully understand the methods.
Features problem solving strategies for all aspects of business, from product and process design, through to packaging and delivery, dealing with single and multivariate problems.
Includes a review of available software and references to further reading.
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
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
3.III Statistical Consulstancy Units at Universities
Ronald J.M.M. Does and András Zempléni
3.IV Consultancy? . . . What's in It for Me?
4 The Statistical Efficiency Conjecture
Ron S. Kenett, Anne De Frenne, Xavier Tort–Martorell and Chris McCollin
5 Management Statistics
Irena Ograjen ek and Ron S. Kenett
6 Service Quality
Irena Ograjen ek
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
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´ os Insua, Jorge Muruzabal, Jes´us Palomo, Fabrizio Ruggeri, Julio Holgado and Ra´ul Moreno
Tony Greenfield and John Logsdon Index