• DocumentCode
    2121398
  • Title

    Adaptive Project Risk Management

  • Author

    Deleris, Léa A. ; Katircioglu, Kaan ; Kapoor, Shubir ; Lam, Richard ; Bagchi, Sugato

  • Author_Institution
    Department of Mathematics, IBM Research, Yorktown Heights, NY 10598. phone: 914 945 1798, e-mail: lea.deleris@us.ibm.com
  • fYear
    2007
  • fDate
    27-29 Aug. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    IT projects tend to be associated with over-budget and late deliveries. In this paper, we describe a method for improving project management based on (a) a thorough analysis of risks affecting activities in a project plan, i.e., the root factors leading to cost and time overruns, and (b) an optimization of the resources allocated to each activity in the project plan in order to maximize the probability of completing on time and within-budget. One key feature of our method is its capability to adapt and learn the risk factors affecting activities during the course of the project, which enables project managers to dynamically reallocate resources to ensure a better outcome given the updated risk profile.
  • Keywords
    Analytical models; Bayesian methods; Costs; Delay; Mathematics; Project management; Resource management; Risk analysis; Risk management; Uncertainty; Project management; Resource management; Risk analysis; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on
  • Conference_Location
    Philadelphia, PA, USA
  • Print_ISBN
    978-1-4244-1118-4
  • Electronic_ISBN
    978-1-4244-1118-4
  • Type

    conf

  • DOI
    10.1109/SOLI.2007.4383874
  • Filename
    4383874