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Two-phase heuristics for scheduling of multiple projects

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Listed:
  • M.L. Mittal
  • Arun Kanda

Abstract

This paper deals with the problem of scheduling of multiple projects sharing a common pool of resources. New two-phase heuristics are proposed and compared with the existing single and two-phase heuristics. These two-phase heuristics are based on a two-stage prioritisation process of activities for resource allocation in which, at any decision point, the projects are first prioritised as per project selection rule and eligible activities in the projects are then prioritised as per activity selection rule. The two-phase heuristics are categorized into look-ahead and non-look-ahead type based on the project selection rules used. Performance of the heuristics is evaluated in two stages for two performance measures – minimising mean project delay and minimising increase over critical project duration. The results show that the some look-ahead heuristics produces better schedules when used with appropriate minimum/maximum criterion. The results also show that the heuristics which are superior in minimising mean project delay generally perform poorly in minimising increase over critical project duration.

Suggested Citation

  • M.L. Mittal & Arun Kanda, 2009. "Two-phase heuristics for scheduling of multiple projects," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 4(2), pages 159-177.
    • Handle: RePEc:ids:ijores:v:4:y:2009:i:2:p:159-177
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    Citations

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    Cited by:

    1. Bredael, Dries & Vanhoucke, Mario, 2024. "A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 315(1), pages 19-34.
    2. Ben Issa, Samer & Patterson, Raymond A. & Tu, Yiliu, 2021. "Solving resource-constrained multi-project environment under different activity assumptions," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Feifei Li & Zhe Xu, 2018. "A multi-agent system for distributed multi-project scheduling with two-stage decomposition," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.
    4. Anıl Can & Gündüz Ulusoy, 2014. "Multi-project scheduling with two-stage decomposition," Annals of Operations Research, Springer, vol. 217(1), pages 95-116, June.
    5. Bredael, Dries & Vanhoucke, Mario, 2023. "Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates," European Journal of Operational Research, Elsevier, vol. 308(1), pages 54-75.
    6. Rob Eynde & Mario Vanhoucke, 2020. "Resource-constrained multi-project scheduling: benchmark datasets and decoupled scheduling," Journal of Scheduling, Springer, vol. 23(3), pages 301-325, June.
    7. Yuvraj Gajpal & Ashraf Elazouni, 2015. "Enhanced heuristic for finance-based scheduling of construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 33(7), pages 531-553, July.

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