• DocumentCode
    2230091
  • Title

    Robust design for optimal project management with reliability and cost

  • Author

    Jeang, A.

  • Author_Institution
    Dept. of Ind. Eng. & Syst. Manage., Feng Chia Univ., Taichung
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1809
  • Lastpage
    1813
  • Abstract
    An approach which combines PERT and CPM in one model to solve project scheduling problems, is introduced. Due to the stochastic nature of activity time and cost for PERT and CPM networks, robust design for project scheduling via statistical method is introduced in the presented approach. The statistical method, such as response surface methodology (RSM), is used to develop a rationale of the time-cost tradeoff problem. Since the character of stochastic networks is considered in this study, other than the deterministic values of completion time and total cost, the probabilistic values of completion time reliability and total cost reliability are also considered as response values for statistical optimization. The results indicate that the presented approach provides an efficient and practical means in finding the robust and optimal scheduling for project management problem.
  • Keywords
    PERT; costing; critical path analysis; optimisation; probability; project management; response surface methodology; scheduling; statistical analysis; stochastic processes; CPM; PERT; completion time reliability; optimal project management; probability; project scheduling; response surface methodology; robust design; statistical optimization; stochastic network; time-cost tradeoff problem; total cost reliability; Cost function; Design for experiments; Job shop scheduling; Optimal scheduling; Optimization methods; Project management; Robustness; Statistical analysis; Stochastic processes; Uncertainty; Mathematical Programming; Project scheduling; Reliability; Response Surface Methodology; Robust; Time; cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738184
  • Filename
    4738184