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Decision CPM: A Method for Simultaneous Planning, Scheduling, and Control of Projects

Author

Listed:
  • W. Crowston

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

  • G. L. Thompson

    (Carnegie Institute of Technology, Pittsburgh, Pennsylvania)

Abstract

DCPM is a method for formally considering the interaction between the scheduling and the planning phases of a project. Thus, if there are a number of competing methods of performing some of the jobs, each method having a different cost, a different time duration, and different technological dependencies, these possibilities are included in the project graph. Then in the scheduling phase, consideration is made of the effects of the alternate methods of performing tasks on the total cost of completing the project. The alternatives that minimize this cost are then selected. The same method can also be applied to the control of the project during its completion, to revise previous decisions in light of actual performance observed.

Suggested Citation

  • W. Crowston & G. L. Thompson, 1967. "Decision CPM: A Method for Simultaneous Planning, Scheduling, and Control of Projects," Operations Research, INFORMS, vol. 15(3), pages 407-426, June.
    • Handle: RePEc:inm:oropre:v:15:y:1967:i:3:p:407-426
    DOI: 10.1287/opre.15.3.407
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    Cited by:

    1. Marcin Anholcer & Helena Gaspars-Wieloch, 2011. "Efficiency analysis of the Kaufmann and Dezbazeille algorithm for the deadline problem," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(1), pages 5-18.
    2. Vanhoucke, Mario, 2005. "New computational results for the discrete time/cost trade-off problem with time-switch constraints," European Journal of Operational Research, Elsevier, vol. 165(2), pages 359-374, September.
    3. Roman Barták & Ondřej Čepek & Pavel Surynek, 2010. "Discovering implied constraints in precedence graphs with alternatives," Annals of Operations Research, Springer, vol. 180(1), pages 233-263, November.
    4. R L Bregman, 2009. "Preemptive expediting to improve project due date performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 120-129, January.
    5. Eleni Hadjiconstantinou & Evelina Klerides, 2010. "A new path-based cutting plane approach for the discrete time-cost tradeoff problem," Computational Management Science, Springer, vol. 7(3), pages 313-336, July.
    6. Singhal, Jaya & Singhal, Kalyan, 1996. "The number of feasible designs in a compatibility matrix," European Journal of Operational Research, Elsevier, vol. 94(1), pages 186-193, October.
    7. De, Prabuddha & James Dunne, E. & Ghosh, Jay B. & Wells, Charles E., 1995. "The discrete time-cost tradeoff problem revisited," European Journal of Operational Research, Elsevier, vol. 81(2), pages 225-238, March.
    8. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.
    9. Gerald G. Brown & W. Matthew Carlyle & Robert C. Harney & Eric M. Skroch & R. Kevin Wood, 2009. "Interdicting a Nuclear-Weapons Project," Operations Research, INFORMS, vol. 57(4), pages 866-877, August.
    10. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.

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