IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v68y2017i7d10.1057_jors.2016.1.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jors.2016.1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/jors.2016.1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    3. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.
    2. Keshtkaran, Mahsa & Churilov, Leonid & Hearne, John & Abbasi, Babak & Meretoja, Atte, 2016. "Validation of a decision support model for investigation and improvement in stroke thrombolysis," European Journal of Operational Research, Elsevier, vol. 253(1), pages 154-169.
    3. Pessôa, Leonardo Antonio Monteiro & Lins, Marcos Pereira Estellita & da Silva, Angela Cristina Moreira & Fiszman, Roberto, 2015. "Integrating soft and hard operational research to improve surgical centre management at a university hospital," European Journal of Operational Research, Elsevier, vol. 245(3), pages 851-861.
    4. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    5. 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.
    6. Lami, Isabella M. & Tavella, Elena, 2019. "On the usefulness of soft OR models in decision making: A comparison of Problem Structuring Methods supported and self-organized workshops," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1020-1036.
    7. Gréanne Leeftink & Erwin W. Hans, 2018. "Case mix classification and a benchmark set for surgery scheduling," Journal of Scheduling, Springer, vol. 21(1), pages 17-33, February.
    8. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    9. Guido, Rosita & Groccia, Maria Carmela & Conforti, Domenico, 2018. "An efficient matheuristic for offline patient-to-bed assignment problems," European Journal of Operational Research, Elsevier, vol. 268(2), pages 486-503.
    10. Ricciardi, Francesca & De Bernardi, Paola & Cantino, Valter, 2020. "System dynamics modeling as a circular process: The smart commons approach to impact management," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    11. Debora Sarno & Maria Elena Nenni, 2016. "Daily nurse requirements planning based on simulation of patient flows," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 526-549, September.
    12. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    13. Gogi, Anastasia & Tako, Antuela A. & Robinson, Stewart, 2016. "An experimental investigation into the role of simulation models in generating insights," European Journal of Operational Research, Elsevier, vol. 249(3), pages 931-944.
    14. Ni, Ji & Chen, Bowei & Allinson, Nigel M. & Ye, Xujiong, 2020. "A hybrid model for predicting human physical activity status from lifelogging data," European Journal of Operational Research, Elsevier, vol. 281(3), pages 532-542.
    15. P R Harper & N H Powell & J E Williams, 2010. "Modelling the size and skill-mix of hospital nursing teams," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 768-779, May.
    16. Small, Adrian & Wainwright, David, 2018. "Privacy and security of electronic patient records – Tailoring multimethodology to explore the socio-political problems associated with Role Based Access Control systems," European Journal of Operational Research, Elsevier, vol. 265(1), pages 344-360.
    17. 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.
    18. Hesaraki, Alireza F. & Dellaert, Nico P. & de Kok, Ton, 2019. "Generating outpatient chemotherapy appointment templates with balanced flowtime and makespan," European Journal of Operational Research, Elsevier, vol. 275(1), pages 304-318.
    19. Bornmann, Lutz & Ganser, Christian & Tekles, Alexander, 2022. "Simulation of the h index use at university departments within the bibliometrics-based heuristics framework: Can the indicator be used to compare individual researchers?," Journal of Informetrics, Elsevier, vol. 16(1).
    20. Ippoliti, Roberto & Falavigna, Greta, 2012. "Efficiency of the medical care industry: Evidence from the Italian regional system," European Journal of Operational Research, Elsevier, vol. 217(3), pages 643-652.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:68:y:2017:i:7:d:10.1057_jors.2016.1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.