Chapter 14. Simulation in Industrial Statistics

  1. Shirley Coleman Technical Director7,
  2. Tony Greenfield8,
  3. Dave Stewardson7 and
  4. Douglas C. Montgomery9
  1. David Ríos Insua1,
  2. Jorge Muruzábal2,†,
  3. Jesus Palomo1,3,
  4. Fabrizio Ruggeri4,
  5. Julio Holgado5 and
  6. Raúl Moreno6

Published Online: 3 MAR 2008

DOI: 10.1002/9780470997482.ch14

Statistical Practice in Business and Industry

Statistical Practice in Business and Industry

How to Cite

Ríos Insua, D., Muruzábal, J., Palomo, J., Ruggeri, F., Holgado, J. and Moreno, R. (2008) Simulation in Industrial Statistics, in Statistical Practice in Business and Industry (eds S. Coleman, T. Greenfield, D. Stewardson and D. C. Montgomery), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470997482.ch14

Editor Information

  1. 7

    Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

  2. 8

    Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK

  3. 9

    Regents' Professor of Industrial Engineering & Statistics, ASU Foundation Professor of Engineering, Department of Industrial Engineering Arizona State University Tempe, AZ 85287-5906, USA

Author Information

  1. 1

    Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Spain

  2. 2

    Formerly of Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Spain

  3. 3

    SAMSI-Duke University, Research Triangle Park, NC, USA

  4. 4

    CNR-IMATI, Via Bassini 15, I-20133 Milano, Italy

  5. 5

    Computing Services, Universidad Rey Juan Carlos, Spain

  6. 6

    Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Madrid, Spain

  1. Jorge Muruzábal passed away on 5 August 2006, this being one of his last contributions in a life devoted to the search for truth.

Publication History

  1. Published Online: 3 MAR 2008
  2. Published Print: 7 MAR 2008

ISBN Information

Print ISBN: 9780470014974

Online ISBN: 9780470997482

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Keywords:

  • simulation in industrial statistics;
  • optical recognition (OCR);
  • random number generation;
  • random variate generation;
  • Monte Carlo simulation and discrete event simulation;
  • synchronous and asynchronous simulation;
  • standard estimation methods;
  • point estimation - unbiasedness and consistency;
  • combining simulation with optimisation;
  • input uncertainty influencing model uncertainty

Summary

This chapter contains sections titled:

  • Introduction

  • Random number generation

  • Random variate generation

  • Obtaining model outputs

  • Output analysis

  • Tactical questions in simulation

  • Discussion and conclusions

  • Acknowledgments

  • References