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Implementing a discrete-event simulation software selection methodology for supporting decision making at Accenture

Author

Listed:
  • T W Tewoldeberhan

    (Oracle Corporation)

  • A Verbraeck

    (Delft University of Technology)

  • V Hlupic

    (University of Westminster)

Abstract

For large international companies with their own simulation team, it is often hard to make a decision related to selection of new discrete-event simulation software. This paper presents a comprehensive discrete-event simulation software selection methodology that has been successfully used for decision making at Accenture consulting company. Accenture already used a simulation tool at the start of the project, but wanted to find out whether the current tool used still was the most appropriate one for its needs, and to evaluate the latest discrete-event simulation tools. The developed methodology consists of two phases: phase 1 quickly reduces the long list to a short list of packages, and phase 2 matches the requirements of the company with the features of the simulation package in detail. Successful application of the proposed methodology indicates its possible application for decision making in other large organisations, provided that the study is performed by a third party to avoid risks of influencing the outcome of the selection process.

Suggested Citation

  • T W Tewoldeberhan & A Verbraeck & V Hlupic, 2010. "Implementing a discrete-event simulation software selection methodology for supporting decision making at Accenture," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1446-1458, October.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:10:d:10.1057_jors.2009.119
    DOI: 10.1057/jors.2009.119
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    References listed on IDEAS

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    1. David P. Christy & Hugh J. Watson, 1983. "The Application of Simulation: A Survey of Industry Practice," Interfaces, INFORMS, vol. 13(5), pages 47-52, October.
    2. Robert Tobias & Carole Hofmann, 2004. "Evaluation of free Java-libraries for social-scientific agent based simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(1), pages 1-6.
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