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Heuristic scheduling of resource-constrained, multiple-mode and repetitive projects

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  • Hong Zhang
  • Heng Li
  • C. M. Tam

Abstract

An alternative heuristic method for scheduling repetitive projects in which resources are limited and activities may be executed with multiple modes of resource demands associated with different durations is proposed. Unlike general heuristic methods that separately analyze each competing activity and schedule only one at a time, the proposed heuristic algorithm ranks possible combinations of activities every time and simultaneously schedules all activities in the selected combination leading to minimal project duration. All alternative combinations of activities in consideration of resource constraints, multiple modes and characteristics of the repetitive projects are determined through a permutation tree-based procedure. The heuristic method is implemented based on the corresponding framework. An example is presented to demonstrate the efficiency of the proposed heuristic method. The study is expected to provide an efficient heuristic methodology for solving the project scheduling problem.

Suggested Citation

  • Hong Zhang & Heng Li & C. M. Tam, 2006. "Heuristic scheduling of resource-constrained, multiple-mode and repetitive projects," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 159-169.
    • Handle: RePEc:taf:conmgt:v:24:y:2006:i:2:p:159-169
    DOI: 10.1080/01446190500184311
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    References listed on IDEAS

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    1. Sönke Hartmann, 2001. "Project Scheduling with Multiple Modes: A Genetic Algorithm," Annals of Operations Research, Springer, vol. 102(1), pages 111-135, February.
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    Cited by:

    1. Pamela C. Nolz, 2021. "Optimizing construction schedules and material deliveries in city logistics: a case study from the building industry," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 846-878, September.
    2. 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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