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Uncertain project scheduling problem with resource constraints

Author

Listed:
  • Xiaoyu Ji

    (Renmin University of China)

  • Kai Yao

    (University of Chinese Academy of Sciences)

Abstract

Project scheduling problem is to make a schedule for allocating the loans to a project such that the total cost and the completion time of the project are balanced under some constraints. This paper presents an uncertain project scheduling problem, of which both the duration times and the resources allocation times are uncertain variables. An uncertain programming model with multiple objectives is obtained, whose first objective is to minimize the total cost, and second objective is to minimize the overtime. Genetic algorithm is employed to solve the proposed uncertain project scheduling model, and its efficiency is illustrated by a numerical experiment.

Suggested Citation

  • Xiaoyu Ji & Kai Yao, 2017. "Uncertain project scheduling problem with resource constraints," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 575-580, March.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:3:d:10.1007_s10845-014-0980-x
    DOI: 10.1007/s10845-014-0980-x
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    References listed on IDEAS

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    1. Salah E. Elmaghraby, 1967. "On the Expected Duration of PERT Type Networks," Management Science, INFORMS, vol. 13(5), pages 299-306, January.
    2. Erik Demeulemeester, 1995. "Minimizing Resource Availability Costs in Time-Limited Project Networks," Management Science, INFORMS, vol. 41(10), pages 1590-1598, October.
    3. Raoul J. Freeman, 1960. "Letter to the Editor---A Generalized PERT," Operations Research, INFORMS, vol. 8(2), pages 281-281, April.
    4. James E. Kelley, 1961. "Critical-Path Planning and Scheduling: Mathematical Basis," Operations Research, INFORMS, vol. 9(3), pages 296-320, June.
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    Cited by:

    1. Qian Li & Sha Tao & Heap-Yih Chong & Zhijie Sasha Dong, 2018. "Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation," Complexity, Hindawi, vol. 2018, pages 1-17, July.

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