Optimising resource-constrained project probabilistic scheduling problem through a combination of simulation and meta-heuristic algorithm (case study: Govah Sanat Company)

Maryam Ghasemifard and Sayed Shahab Amelian

International Journal of Project Organisation and Management, 2022, vol. 14, issue 2, 126-143

Abstract: A project scheduling problem can be identified as scheduling a set of activities and allocating different resources to these activities in a way that optimises the problem criteria. The objective in resource-constrained project scheduling problem is the allocation of resources or a set of resources with limited capacity to project activities considering prerequisite relations in order to optimise predetermined goals. In this study, a resource-constrained project scheduling problem has been investigated in the case where times of the activities are probabilistic and a combination of Monte Carlo simulation method and meta-heuristic algorithms has been used to analyse this problem. Finally, an optimal scheduling has been presented to minimise project completion time. In this study, a real sample consisting of 17 activities has been used considering prerequisite relations, with manpower and machinery as its resources. This problem has been explored through Montecarlo-PSO and Montecarlo-SA methods, and the results have shown that the Montecarlo-PSO method converges faster to the optimal solution.

Keywords: project management; optimisation; meta-heuristic algorithms; probabilistic scheduling; Monte Carlo simulation. (search for similar items in EconPapers)
Date: 2022
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