• DocumentCode
    3576590
  • Title

    The resource-constrained project scheduling problem with stochastic activity durations

  • Author

    Creemers, S.

  • Author_Institution
    Sch. of Manage., IESEG, Lille, France
  • fYear
    2014
  • Firstpage
    453
  • Lastpage
    457
  • Abstract
    The Resource-Constrained Project Scheduling Problem (RCPSP) has been widely studied. A fundamental assumption of the RCPSP is that the activity durations are known before their execution. In reality, however, this is almost never the case. In this article, we illustrate why it is important to incorporate activity duration variability and develop an exact model to solve the Stochastic Resource-Constrained Scheduling Problem (SRCPSP). The performance of the model is assessed using a computational experiment. The model is intended for small-to medium sized projects where activities have a moderate-to large level of duration variability.
  • Keywords
    project management; scheduling; small-to-medium enterprises; RCPSP; activity duration variability; resource-constrained project scheduling problem; small-to-medium sized projects; stochastic activity durations; stochastic resource-constrained scheduling problem; Central Processing Unit; Computational modeling; Job shop scheduling; Optimal scheduling; Processor scheduling; Schedules; Stochastic processes; RCPSP; project management; resource constraints; scheduling; stochastic activity durations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058679
  • Filename
    7058679