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Use of business process simulation: A survey of practitioners

Author

Listed:
  • N Melão

    (Universidade Catolica Portuguesa, Escola Superior de Ciencias e Tecnologia)

  • M Pidd

    (The Management School, Lancaster University)

Abstract

In order to understand the requirements of people engaged in business process simulation (BPS), a survey was conducted among potential business process simulation users. The survey had a 37% response rate and revealed a low usage of simulation in the design, modification and improvement of business processes. It confirms that BPS projects are typically short, relatively non-technical, and rely on good project management for their success. Most BPS users employ general-purpose simulation software rather than purpose-designed business process simulators. There is no evidence of a skills gap, rather a feeling that there is no net gain from employing simulation methods when simpler methods will suffice. These findings are discussed and conclusions drawn.

Suggested Citation

  • N Melão & M Pidd, 2003. "Use of business process simulation: A survey of practitioners," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 2-10, January.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:1:d:10.1057_palgrave.jors.2601477
    DOI: 10.1057/palgrave.jors.2601477
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    References listed on IDEAS

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    1. Jeffery K. Cochran & Gerald T. Mackulak & Paul A. Savory, 1995. "Simulation Project Characteristics in Industrial Settings," Interfaces, INFORMS, vol. 25(4), pages 104-113, August.
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    Cited by:

    1. Kristina Rosenthal & Benjamin Ternes & Stefan Strecker, 2021. "Business Process Simulation on Procedural Graphical Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 569-602, October.
    2. Mohsen Jahangirian & Simon J E Taylor & Terry Young & Stewart Robinson, 2017. "Key performance indicators for successful simulation projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 747-765, July.
    3. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    4. Staff, Marta & Mustafee, Navonil & Shenker, Natalie & Weaver, Gillian, 2024. "Ensuring neonatal human milk provision: A framework for estimating potential demand for donor human milk," European Journal of Operational Research, Elsevier, vol. 318(2), pages 642-655.
    5. Melao, Nuno & Pidd, Michael, 2006. "Using component technology to develop a simulation library for business process modelling," European Journal of Operational Research, Elsevier, vol. 172(1), pages 163-178, July.
    6. K Cooper & S C Brailsford & R Davies, 2007. "Choice of modelling technique for evaluating health care interventions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 168-176, February.
    7. S Robinson, 2005. "Discrete-event simulation: from the pioneers to the present, what next?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 619-629, June.
    8. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    9. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.

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