• DocumentCode
    239581
  • Title

    Project planning and predictive Earned Value analysis via simulation

  • Author

    Kuhl, Michael E. ; Perez Graciano, Maribel K.

  • Author_Institution
    Ind. & Syst. Eng. Dept., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    3377
  • Lastpage
    3387
  • Abstract
    A simulation-based Earned Value Management methodology is introduced for modeling and analyzing project networks with stochastic activity times and activity costs. The methodology uses simulation to establish a project plan and estimate the planned value over the life of the project. During project execution, these reference measures can be used to determine if the project is on track to completion. The simulation tool can be used to evaluate potential alternatives and predict their impact on the project.
  • Keywords
    planning; project management; stochastic processes; earned value management methodology; predictive earned value analysis; project networks; project planning; stochastic activity costs; stochastic activity times; Analytical models; Forecasting; Performance analysis; Predictive models; Schedules; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7020171
  • Filename
    7020171