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Project's duration prediction: traditional tools or simulation?

Author

Listed:
  • Viktor K. Diamantas
  • Konstantinos A. Kirytopoulos
  • Vrassidas N. Leopoulos

Abstract

Project schedule development with CPM cannot handle uncertainty, thus PERT and Monte Carlo Simulation (MCS) are the most frequently used methods from best-in-class companies. This study compares the results of the standard MCS with those of PERT and addresses the incorporation of project risk management into the two approaches. It defines the related advantages and disadvantages, found in the literature and is illustrated through a case study. The findings reveal that the modelling of risk is more robust when the MCS is used, leading to the conclusion that simulation is a more efficient tool than the other stochastic methods.

Suggested Citation

  • Viktor K. Diamantas & Konstantinos A. Kirytopoulos & Vrassidas N. Leopoulos, 2007. "Project's duration prediction: traditional tools or simulation?," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 3(3/4), pages 317-333.
    • Handle: RePEc:ids:wremsd:v:3:y:2007:i:3/4:p:317-333
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    Cited by:

    1. Georgios Tziralis & Konstantinos Kirytopoulos & Athanasios Rentizelas & Ilias Tatsiopoulos, 2009. "Holistic investment assessment: optimization, risk appraisal and decision making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 393-403.

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