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Tactical project planning under uncertainty: fuzzy approach

Malek Masmoudi, Erwin W. Hans and Alain Haït

European Journal of Industrial Engineering, 2016, vol. 10, issue 3, 301-322

Abstract: At the tactical planning level in a multi-project environment, uncertainties are inherent to the workloads, and costs may be involved for using non-regular capacity and violating project due dates. We propose an approach to identify whether non-regular capacities might be needed to meet the projects' due dates. This problem is known as rough-cut capacity planning (RCCP) problem under uncertainty. We propose a possibilistic approach, which is based on modelling uncertain workloads with fuzzy sets. We present the resulting fuzzy rough-cut capacity planning (FRCCP), and show that we can use the possibilistic approach to provide a robust solution with a fuzzy resource loading profile that supports managers in decision making. We provide a simulated annealing approach to solve the FRCCP, and test it against several existing RCCP approaches. For the experiments we use real life instances from a shipyard maintenance centre. [Received 23 February 2015; Revised 27 May 2015; Revised 20 August 2015; Revised 12 October 2015; Accepted 17 November 2015]

Keywords: project planning; rough-cut capacity planning; RCCP; uncertainty; workload; fuzzy sets; possibilistic approach; simulated annealing; fuzzy logic; modelling; uncertain workloads; shipyard maintenance centres. (search for similar items in EconPapers)
Date: 2016
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