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Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity

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  • Servranckx, Tom
  • Vanhoucke, Mario
  • Aouam, Tarik
Abstract
Many project managers underestimate that todays projects are subject to various risks, which might lead to enormous cost overruns and project delays. In the domain of project forecasting, Reference Class Forecasting has been introduced as a method to bypass human judgement by applying an uplift that is based on the forecast errors of similar historical projects. In this research study, we aim to identify the possible drivers of project similarity based on interviews with 76 project managers. Also, we evaluate the performance of Reference Class Forecasting as a project forecasting technique from both a cost and time perspective. Based on an empirical study of 52 real projects, the accuracy of Reference Class Forecasting is successfully demonstrated by implementing a method that considers both the intra- and inter-accuracy of reference classes. The accuracy increases when more project properties are considered, however, a higher number of project properties decreases the size of the reference classes and thus reduces the reliability of the results.

Suggested Citation

  • Servranckx, Tom & Vanhoucke, Mario & Aouam, Tarik, 2021. "Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1161-1179.
    • Handle: RePEc:eee:ejores:v:295:y:2021:i:3:p:1161-1179
    DOI: 10.1016/j.ejor.2021.03.063
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    References listed on IDEAS

    as
    1. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    2. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    3. Cantarelli, C.C. & Molin, E.J.E. & van Wee, B. & Flyvbjerg, B., 2012. "Characteristics of cost overruns for Dutch transport infrastructure projects and the importance of the decision to build and project phases," Transport Policy, Elsevier, vol. 22(C), pages 49-56.
    4. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    5. Cantarelli, C.C. & Flyvbjerg, B. & Buhl, S.L., 2012. "Geographical variation in project cost performance: the Netherlands versus worldwide," Journal of Transport Geography, Elsevier, vol. 24(C), pages 324-331.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Renata Walczak & Tomasz Majchrzak, 2018. "Implementation Of The Reference Class Forecasting Method For Projects Implemented In A Chemical Industry Company," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2018(1), pages 25-33.
    8. Bent Flyvbjerg, 2007. "Policy and Planning for Large-Infrastructure Projects: Problems, Causes, Cures," Environment and Planning B, , vol. 34(4), pages 578-597, August.
    9. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.
    10. Cantarelli, C.C. & van Wee, B. & Molin, E.J.E. & Flyvbjerg, B., 2012. "Different cost performance: different determinants?," Transport Policy, Elsevier, vol. 22(C), pages 88-95.
    11. Wauters, Mathieu & Vanhoucke, Mario, 2017. "A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1097-1111.
    12. Odeck, James, 2004. "Cost overruns in road construction--what are their sizes and determinants?," Transport Policy, Elsevier, vol. 11(1), pages 43-53, January.
    13. Nikolopoulos, K. & Goodwin, P. & Patelis, A. & Assimakopoulos, V., 2007. "Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches," European Journal of Operational Research, Elsevier, vol. 180(1), pages 354-368, July.
    14. Noreen, Eric, 1988. "The economics of ethics: A new perspective on agency theory," Accounting, Organizations and Society, Elsevier, vol. 13(4), pages 359-369, June.
    15. Valadares Tavares, L. & Antunes Ferreira, J. & Silva Coelho, J., 1999. "The risk of delay of a project in terms of the morphology of its network," European Journal of Operational Research, Elsevier, vol. 119(2), pages 510-537, December.
    16. Madadi, M. & Iranmanesh, H., 2012. "A management oriented approach to reduce a project duration and its risk (variability)," European Journal of Operational Research, Elsevier, vol. 219(3), pages 751-761.
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    3. Ünsal-Altuncan, Izel & Vanhoucke, Mario, 2024. "A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks," European Journal of Operational Research, Elsevier, vol. 315(2), pages 511-527.

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