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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
Doreen Krüger () (Friedrich-Schiller-Universität Jena Fakultät für Wirtschaftswissenschaften Lehrstuhl für Betriebswirtschaftliche Entscheidungsanalyse)
Armin Scholl () (Friedrich-Schiller-Universität Jena Fakultät für Wirtschaftswissenschaften Lehrstuhl für Betriebswirtschaftliche Entscheidungsanalyse)

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Abstract

We consider the problem of scheduling multiple projects subject to joint resource constraints. All approaches proposed in the literature so far are based on the assumption that resources can be transferred from one project to the other without any expense in time or cost. In many realworld settings this assumption is not realistic. For example, cranes have to be transported to another location and reinstalled there. In order to consider this additional aspect, we generalise the multi-project scheduling problem by additionally including transfer times which represent transportation, installation, adjustment, (re-) learning and other 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 multi-project scheduling problem with transfer times (called RCMPSPTT), formulate it as an integer linear programme, propose heuristic solution procedures and present results of comprehensive computational experiments.

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Paper provided by Friedrich-Schiller-University Jena, School of Economics and Business Administration in its series Jena Research Papers in Business and Economics - Working and Discussion Papers with number 16/2007.

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Date of creation: 10 Sep 2007
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Handle: RePEc:jen:jenjbe:2007-16

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Related research
Keywords: project scheduling; combinatorial optimisation; mathematical model; transfer times;

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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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