• DocumentCode
    1636222
  • Title

    Application of Time-Dependent Fault Tree Models for the Analysis of Project Schedule Failure Conditions

  • Author

    Krysinski, M. ; Anders, G.

  • Author_Institution
    Alfa-Zeta Co., Lodz
  • fYear
    2008
  • Firstpage
    5532
  • Lastpage
    5537
  • Abstract
    This paper examines calculations of the earliest and the latest possible starting times for various tasks in a project. It considers classical precedence relationships with additional complications involving lead and lag times between tasks. Since the problem of analyzing large network diagrams with complicated relationships can become computationally intractable, there is a need for a mathematical formulation for the solution of this problem that would be transparent and easy to implement. Such a solution is proposed in this paper. It involves an introduction of the fault tree models with time dependencies. Such models were recently introduced in the context of equipment safety analysis and this paper adapts these concepts in the project management field of interest. With this approach it is possible to model by means of special gates not only logical dependencies (e.g. event A and event B must happen so that failure occurs) but also to answer a question ´when A and B should happen for the failure to occur´. Introduction of each new gate is accompanied by a numerical example from a sample project.
  • Keywords
    fault trees; project management; fault tree models; project management; project schedule failure conditions; Communications Society; Computer networks; Context modeling; Failure analysis; Fault trees; Ground penetrating radar; Hazards; Mathematical model; Project management; Safety devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.1037
  • Filename
    4534073