• DocumentCode
    1820139
  • Title

    An iterative backward/Forward Technique for the scheduling of resource-constrained projects within Microsoft Project

  • Author

    Trautmann, Norbert ; Baumann, Philipp

  • Author_Institution
    Dept. of Bus. Adm., Univ. of Bern, Bern, Switzerland
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    1558
  • Lastpage
    1562
  • Abstract
    Microsoft Project is one of the most-widely used software packages for project management. For the scheduling of resource-constrained projects, the package applies a priority-based procedure using a specific schedule-generation scheme. This procedure performs relatively poor when compared against other software packages or state-of-the-art methods for resource-constrained project scheduling. In this paper, we present a scheduling heuristic for Microsoft Project which generates some initial schedules by sampling various priority rules, and improves each of these schedules by iterative backward-forward passes. In order to account for all types of temporal or calendar constraints available in Microsoft Project, the heuristic employs only Microsoft Project´s specific schedule-generation scheme. Computational results for a set of 1320 projects from the standard test set PSPLIB indicate that the presented heuristic renders the resource-allocation capabilities of Microsoft Project comparable to those of the best-performing software packages.
  • Keywords
    iterative methods; project management; scheduling; software management; software packages; Microsoft project; iterative backward/forward technique; project management; project scheduling; resource-constrained projects; software packages; Europe; Job shop scheduling; Processor scheduling; Project management; Resource management; Schedules; Software packages; Microsoft Project; Project management; RCPSP; experimental analysis; local search; operations research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674171
  • Filename
    5674171