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Key performance indicators for successful simulation projects

Author

Listed:
  • Mohsen Jahangirian

    (Brunel University)

  • Simon J E Taylor

    (Brunel University)

  • Terry Young

    (Brunel University)

  • Stewart Robinson

    (Loughborough University)

Abstract

There are many factors that may contribute to the successful delivery of a simulation project. To provide a structured approach to assessing the impact various factors have on project success, we propose a top-down framework whereby 15 Key Performance Indicators (KPI) are developed that represent the level of successfulness of simulation projects from various perspectives. They are linked to a set of Critical Success Factors (CSF) as reported in the simulation literature. A single measure called Project’s Success Measure (PSM), which represents the project’s total success level, is proposed. The framework is tested against 9 simulation exemplar cases in healthcare and this provides support for its reliability. The results suggest that responsiveness to the customer’s needs and expectations, when compared with other factors, holds the strongest association with the overall success of simulation projects. The findings highlight some patterns about the significance of individual CSFs, and how the KPIs are used to identify problem areas in simulation projects.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:7:d:10.1057_jors.2016.1
    DOI: 10.1057/jors.2016.1
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    References listed on IDEAS

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    1. P R Harper & M A Pitt, 2004. "On the challenges of healthcare modelling and a proposed project life cycle for successful implementation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 657-661, June.
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    4. S J E Taylor & T Eldabi & G Riley & R J Paul & M Pidd, 2009. "Simulation modelling is 50! Do we need a reality check?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 69-82, May.
    5. 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.
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    Cited by:

    1. Harper, Alison & Mustafee, Navonil & Yearworth, Mike, 2021. "Facets of trust in simulation studies," European Journal of Operational Research, Elsevier, vol. 289(1), pages 197-213.
    2. Kizielewicz Joanna & Winiarska Magdalena & Skrzeszewska Katarzyna & Szelągowska-Rudzka Katarzyna, 2022. "Efficiency of project management in higher education establishments on the example of Gdynia Maritime University," Management, Sciendo, vol. 26(1), pages 164-188, January.
    3. Ivo Hristov & Antonio Chirico & Riccardo Camilli, 2022. "The role of Key Performance Indicators as a performance management tool in implementing corporate strategies: A critical review of the literature," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(1), pages 117-151.

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