• DocumentCode
    537181
  • Title

    The Study of a Quantification Prediction Method of Production Development Schedule Risk

  • Author

    Guo, Shuhang ; Hai, Mo ; Wang, Min

  • Author_Institution
    Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the probability distribution of project duration, a method to recognize the critical path to a project dynamically is proposed under the random change in the activity duration. Finally, examples will show that Monte Carlo simulation methods under resource constraints can assess the progress risk of Production Development effectively and support the project decision-making.
  • Keywords
    Monte Carlo methods; decision making; project management; resource allocation; sampling methods; scheduling; statistical distributions; Monte Carlo simulation; activity duration sampling method; probability distribution; production development schedule risk; project decision making; project duration; quantification prediction method; resource constraints; Computational modeling; Correlation; Monte Carlo methods; Production; Project management; Risk management; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661117
  • Filename
    5661117