Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2012, Article ID 463873, 17 pages
Research Article

Monte Carlo Simulation Models Evolving in Replicated Runs: A Methodology to Choose the Optimal Experimental Sample Size

DIPTEM, University of Genoa, 16145 Genova, Italy

Received 1 October 2011; Revised 29 February 2012; Accepted 17 March 2012

Academic Editor: Kwok W. Wong

Copyright © 2012 Lucia Cassettari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. E. P. Box and N. R. Draper, Empirical Model-Building and Response Surfaces, John Wiley & Sons, New York, NY, USA, 1987. View at Zentralblatt MATH
  2. R. H. Myers and D. C. Montgomery, Response Surface Methodology, John Wiley and Sons, 1995.
  3. D. C. Montgomery, Design and Analysis of Experiments, John Wiley and Sons, 1997.
  4. R. Mosca and P. Giribone, “Optimal length in O.R. simulation experiments of large scale production system,” in Proceedings of the IASTED International Symposium on Applied Modelling and Simulation (AMS ’82), pp. 78–82, Paris, France, 1982.
  5. L. Cassettari, R. Mosca, and R. Revetria, “Experimental error measurement in Monte Carlo simulation,” in Handbook of Research on Discrete Event Simulation Environments, E. M. O. Abu-Taieh and A. A. R. El Sheikh, Eds., chapter 6, pp. 92–141, Information Science, 2010. View at Google Scholar
  6. R. Mosca, P. Giribone, M. Scotti, and M. Mondani, “Dynamic management of a DSS applied to a factual company economy,” in Proceedings of the 7th IASTED International Symposium on Modelling, Identification and Control (MIC '88), pp. 16–20, Grindelwald, Switzerland, 1988.
  7. R. Mosca, A. G. Bruzzone, L. Cassettari, and M. Mosca, “Risk analysis for industrial plants projects: an innovative approach based on simulation techniques with experimental error control,” in Proceedings of the European Modelling and Simulation Symposium (EMSS ’09), Tenerife, Spain, September 2009.
  8. R. Mosca, P. Giribone, S. Casciani, and G. Ghislanzoni, “A concrete application of a modular decision support system,” in Proceedings of the 6th IASTED International Symposium on Modelling, Identification and Control (MIC '87), pp. 320–328, Grindelwald, Switzerland, 1987.
  9. M. Schenone, A. Frigato, and M. Mosca, “Risk analysis applied to project management and project control,” in Proceedings of the 19th IASTED International Symposium on Modelling, Identification and Control (MIC '99), Innsbruck, Austria, 1999.
  10. L. Cassettari, P. G. Giribone, M. Mosca, and R. Mosca, “The stochastic analysis of investments in industrial plants by simulation models with control of experimental error: Theory and application to a real business case,” Applied Mathematical Sciences, vol. 4, no. 73–76, pp. 3823–3840, 2010. View at Google Scholar · View at Scopus