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

Sina Shokoohyar and Jahangir Amiri

International Journal of Project Organisation and Management, 2021, vol. 13, issue 1, 31-59

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.

Keywords: resource-constrained project scheduling problem; multi-mode state; genetic algorithm; simulated-annealing algorithm; doubly-resources. (search for similar items in EconPapers)
Date: 2021
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