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Two empirical uncertain models for project scheduling problem

Author

Listed:
  • Chunxiao Ding

    (Nanjing University of Science and Technology, Nanjing, China)

  • Yuanguo Zhu

    (Nanjing University of Science and Technology, Nanjing, China)

Abstract

The project scheduling problem with uncertain activity durations is considered, and two types of models for uncertain project scheduling problems are established according to different management requirements. These models are transformed to their crisp forms, which may be solved by classical optimization methods. For the models that could not be transformed to their crisp forms, an uncertain simulation is employed to approximate uncertain functions. Finally, two numerical examples are given to illustrate the usefulness of proposed models.

Suggested Citation

  • Chunxiao Ding & Yuanguo Zhu, 2015. "Two empirical uncertain models for project scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(9), pages 1471-1480, September.
  • Handle: RePEc:pal:jorsoc:v:66:y:2015:i:9:p:1471-1480
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    Cited by:

    1. Xiaoxia Huang & Liying Song, 2018. "An emergency logistics distribution routing model for unexpected events," Annals of Operations Research, Springer, vol. 269(1), pages 223-239, October.
    2. Bordley, Robert F. & Keisler, Jeffrey M. & Logan, Tom M., 2019. "Managing projects with uncertain deadlines," European Journal of Operational Research, Elsevier, vol. 274(1), pages 291-302.
    3. Zixuan Zhang & Michail Chronopoulos & Dimitrina S. Dimitrova & Ioannis Kyriakou, 2024. "Risk assessment and optimal scheduling of serial projects," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 709-736, September.
    4. Jian Zhou & Yujiao Jiang & Athanasios A. Pantelous & Weiwen Dai, 2023. "A systematic review of uncertainty theory with the use of scientometrical method," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 463-518, September.

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