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Analysis of the Effects of Uncertainty, Risk-Pooling, and Subcontracting Mechanisms on Project Performance

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  • Genaro Gutierrez

    (The University of Texas at Austin, Austin, Texas 78712)

  • Anand Paul

    (The University of Florida, Gainesville, Florida 32611)

Abstract

The problem of designing a contract mechanism to allocate the component subprojects of a large project to a pool of contractors has important implications for project success. Our research analytically addresses issues involved in diversifying risk for the project owner by partitioning the project and assigning the subprojects to multiple contractors whose performance characteristics are imperfectly known. We begin by giving a precise analytical treatment of the effect of activity variance on expected project duration, characterizing the cases when an increase in activity variance pushes up the expected project duration. In the case of a homogeneous project consisting of serial subprojects, we show that disaggregating the project and assigning the subprojects to the contractors on a piecemeal basis reduces variance of project duration while leaving the mean unchanged. On the other hand, in the case of a homogeneous project consisting of parallel subprojects, aggregating the subprojects and assigning the aggregated project to one of the contractors reduces mean project duration.

Suggested Citation

  • Genaro Gutierrez & Anand Paul, 2000. "Analysis of the Effects of Uncertainty, Risk-Pooling, and Subcontracting Mechanisms on Project Performance," Operations Research, INFORMS, vol. 48(6), pages 927-938, December.
  • Handle: RePEc:inm:oropre:v:48:y:2000:i:6:p:927-938
    DOI: 10.1287/opre.48.6.927.12398
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    References listed on IDEAS

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    Cited by:

    1. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2022. "Using Earned Value Management and Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 297(2), pages 451-466.
    2. Jürgen Mihm, 2010. "Incentives in New Product Development Projects and the Role of Target Costing," Management Science, INFORMS, vol. 56(8), pages 1324-1344, August.
    3. Jiao Wang & Kai Yang & Ruiqing Zhao, 2017. "The impact of decision criteria on deadline-based incentive contracts in project management," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 643-655, March.
    4. Dharma Kwon, H. & Lippman, Steven A. & Tang, Christopher S., 2011. "Sourcing decisions of project tasks with exponential completion times: Impact on operating profits," International Journal of Production Economics, Elsevier, vol. 134(1), pages 138-150, November.
    5. Fernando Acebes & Javier Pajares & José M. González-Varona & Adolfo López-Paredes, 2021. "Project risk management from the bottom-up: Activity Risk Index," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1375-1396, December.
    6. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
    7. Banerjee, Arunava & Paul, Anand, 2008. "On path correlation and PERT bias," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1208-1216, September.
    8. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    9. Shi Chen & Ted Klastorin & Michael R. Wagner, 2021. "Designing practical coordinating contracts in decentralized projects," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 183-198, March.
    10. Vanhoucke, Mario, 2011. "On the dynamic use of project performance and schedule risk information during projecttracking," Omega, Elsevier, vol. 39(4), pages 416-426, August.
    11. Tony Chen & Ted Klastorin & Michael R. Wagner, 2015. "Incentive Contracts in Serial Stochastic Projects," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 290-301, July.
    12. Junguang Zhang & Dan Wan, 2021. "Determination of early warning time window for bottleneck resource buffer," Annals of Operations Research, Springer, vol. 300(1), pages 289-305, May.
    13. 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.
    14. Martens, Annelies & Vanhoucke, Mario, 2019. "The impact of applying effort to reduce activity variability on the project time and cost performance," European Journal of Operational Research, Elsevier, vol. 277(2), pages 442-453.

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