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Developing a multi-mode doubly resource constrained project scheduling problem using meta-heuristic approaches

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  • Sina Shokoohyar
  • Jahangir Amiri

Abstract

In real-life projects, a multi-mode resource-constrained project scheduling problem (MRCPSP) is one of the most crucial problems. Multi-mode resource requirements significantly increase the difficulty and increase the solution spaces. The purpose of this paper is to maximise the project profit by considering the real situation of a project in which the constraint of the predecessor relationships between the activities and doubly-resources in the multi-mode state is implemented. In this study, a problem with 16 activities is solved which includes two renewables, two non-renewable resources, a doubly-resource, and three performance modes for each activity. To evaluate the designed algorithms problem samples of different sizes are considered. Both doubly-constraint and the profit of activities are defined in this study. Since the type of the model is complicated, mega-heuristic approaches including the genetic algorithm (GA) and simulated-annealing (SA) are proposed as the research methods and their results are compared.

Suggested Citation

  • Sina Shokoohyar & Jahangir Amiri, 2021. "Developing a multi-mode doubly resource constrained project scheduling problem using meta-heuristic approaches," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 13(1), pages 31-59.
    • Handle: RePEc:ids:ijpoma:v:13:y:2021:i:1:p:31-59
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