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A heuristic solution framework for the resource constrained (multi-)project scheduling problem with sequence-dependent transfer times

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Author Info
Krüger, Doreen
Scholl, Armin

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Abstract

We consider the problem of scheduling multiple projects subject to joint resource constraints. Most approaches proposed in the literature so far are based on the unrealistic assumption that resources can be transferred from one project to the other without any expense in time or cost. In order to contribute to closing this gap to reality, we generalise the multi-project scheduling problem by additionally including sequence- and resource-dependent transfer times, which represent setup activities necessary when a resource is removed from one project and reassigned to another (or from one job to another within the same project). In this paper, we define the modified resource constrained multi-project scheduling problem with transfer times (called RCMPSPTT), which aims at minimising the multi-project duration for the single-project approach or the mean project duration for the multi-project approach. We formulate both perspectives as an integer linear program, propose priority rule based solution procedures and present results of comprehensive computational experiments. Provided that the combination of scheduling scheme and priority rules is chosen appropriately, the procedures obtain good results. In particular, resource oriented priority rules are identified to be successful.

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Publisher Info
Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 197 (2009)
Issue (Month): 2 (September)
Pages: 492-508
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Handle: RePEc:eee:ejores:v:197:y:2009:i:2:p:492-508

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Related research
Keywords: Project scheduling Combinatorial optimisation Mathematical model Transfer times Setup;

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References listed on IDEAS
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  1. D. Debels & M. Vanhoucke, 2006. "Pre-emptive resource-constrained project scheduling with setup times," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/391, Ghent University, Faculty of Economics and Business Administration. [Downloadable!]
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  2. Kolisch, Rainer & Hartmann, Sonke, 2006. "Experimental investigation of heuristics for resource-constrained project scheduling: An update," European Journal of Operational Research, Elsevier, vol. 174(1), pages 23-37, October. [Downloadable!] (restricted)
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