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The current state of network simulation in project management theory and practice

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  • Ragsdale, C

Abstract

Schonberger [Interfaces 11(5), 66-70 (1981)] has demonstrated the advantages of Monte-Carlo simulation of activity networks over the more traditional PERT/CPM techniques. He concluded however, that simulations were too expensive and required too extensive a background in probability for most project managers. This paper highlights the problems with PERT/CPM and reviews the approaches researchers and practitioners have taken to network simulation since Schonberger's article. It then offers suggestions for future work and reevaluates Schonberger's conclusions in light of current technology.

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  • Ragsdale, C, 1989. "The current state of network simulation in project management theory and practice," Omega, Elsevier, vol. 17(1), pages 21-25.
    • Handle: RePEc:eee:jomega:v:17:y:1989:i:1:p:21-25
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    Cited by:

    1. Williams, Terry, 1995. "A classified bibliography of recent research relating to project risk management," European Journal of Operational Research, Elsevier, vol. 85(1), pages 18-38, August.
    2. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
    3. N-H Shih, 2005. "Estimating completion-time distribution in stochastic activity networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 744-749, June.
    4. Bregman, Robert L., 2009. "A heuristic procedure for solving the dynamic probabilistic project expediting problem," European Journal of Operational Research, Elsevier, vol. 192(1), pages 125-137, January.
    5. Cohen, Izack & Iluz, Michal, 2015. "When cost–effective design strategies are not enough: Evidence from an experimental study on the role of redundant goals," Omega, Elsevier, vol. 56(C), pages 99-111.
    6. Williams, Terry, 1999. "Towards realism in network simulation," Omega, Elsevier, vol. 27(3), pages 305-314, June.
    7. Yakhchali, Siamak Haji & Ghodsypour, Seyed Hassan, 2010. "Computing latest starting times of activities in interval-valued networks with minimal time lags," European Journal of Operational Research, Elsevier, vol. 200(3), pages 874-880, February.
    8. Tavares, L. V., 2002. "A review of the contribution of Operational Research to Project Management," European Journal of Operational Research, Elsevier, vol. 136(1), pages 1-18, January.
    9. Dawson, C. W., 1995. "A dynamic sampling technique for the simulation of probabilistic and generalized activity networks," Omega, Elsevier, vol. 23(5), pages 557-566, October.
    10. Badinelli, Ralph D., 1996. "Approximating probability density functions and their convolutions using orthogonal polynomials," European Journal of Operational Research, Elsevier, vol. 95(1), pages 211-230, November.
    11. Chen, Shih-Pin, 2007. "Analysis of critical paths in a project network with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 183(1), pages 442-459, November.

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