• DocumentCode
    3382343
  • Title

    The project schedule management model based on the program evaluation and review technique and Bayesian networks

  • Author

    Jin Yong ; Zhao Zhigang

  • Author_Institution
    Sch. of Mech. Eng., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2011
  • fDate
    15-16 Aug. 2011
  • Firstpage
    379
  • Lastpage
    383
  • Abstract
    Based on the analysis of program evaluation and review technique (PERT) and bayesian network, a PERT bayesian network (PERTBN) is built according to the basic requirement of project schedule management. Fistly, a basic model of PERTBN is established, and the node types and the simplifying method of the model are detailed. Secondly, based on the three process arrangement modes of single-chain, centralized and distributed types, the corresponding PERTBN modeling methodology is put forward respectively. Subject to the time sequence dependence of the immediate predecessor nodes and the immediate successor nodes, the calculation methods of the conditional probability distribution of each node are determined. At last, with the analysis of the basic attribute and features of PERTBN, the applicable future in the combination of PERT and bayesian network in the project schedule management is shown.
  • Keywords
    Bayes methods; PERT; probability; scheduling; Bayesian network; PERTBN; conditional probability distribution; program evaluation and review technique; project schedule management; Analytical models; Bayesian methods; Computational modeling; Gaussian distribution; Probability distribution; Schedules; Uncertainty; Bayesian network; Conditional probability distribution; Process; Program evaluation and review technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2011 IEEE International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4577-0301-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2011.6024747
  • Filename
    6024747