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Project scheduling with resource capacities and requests varying with time

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  • Hartmann, Sönke

Abstract

This paper discusses an extension of the classical resource-constrained project scheduling problem (RCPSP) in which the resource availability as well as the resource request of the activities may change from period to period. While the applicability of this extension should be obvious, we provide a case study in order to emphasize the need for the extension. A realworld medical research project is presented which has a structure that is typical for many other medical and pharmacological research projects that consist of experiments. Subsequently, we provide a mathematical model and analyze some properties of the extended problem setting. We also discuss how priority rule based heuristics for the RCPSP can be applied to the extended problem. In addition to the priority rules themeselves, we outline a framework for randomized priority rule methods. In order to provide a basis for experiments, we propose an adaptation of standard RCPSP test instances to the extended version of the problem. Finally we report the computational results of the priority rule methods.

Suggested Citation

  • Hartmann, Sönke, 2011. "Project scheduling with resource capacities and requests varying with time," Working Paper Series 01/2011, Hamburg School of Business Administration (HSBA).
  • Handle: RePEc:zbw:hsbawp:012011
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    References listed on IDEAS

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    1. Klein, Robert & Scholl, Armin, 1998. "Scattered branch and bound: an adaptive search strategy applied to resource-constrained project scheduling," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 14076, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. D. Debels & M. Vanhoucke, 2006. "The impact of various activity assumptions on the lead-time and resource utilization of resource-constrained projects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/385, Ghent University, Faculty of Economics and Business Administration.
    3. Rodica Brânzei & Giulio Ferrari & Vito Fragnelli & Stef Tijs, 2002. "Two Approaches to the Problem of Sharing Delay Costs in Joint Projects," Annals of Operations Research, Springer, vol. 109(1), pages 359-374, January.
    4. Vanhoucke, Mario & Demeulemeester, Erik & Herroelen, Willy, 2003. "Progress payments in project scheduling problems," European Journal of Operational Research, Elsevier, vol. 148(3), pages 604-620, August.
    5. Doreen Krüger & Armin Scholl, 2007. "Managing and modelling general resource transfers in (multi-)project scheduling," Jena Research Papers in Business and Economics - Working and Discussion Papers (Expired!) 28/2007, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
    6. Doerner, K.F. & Gutjahr, W.J. & Hartl, R.F. & Strauss, C. & Stummer, C., 2008. "Nature-inspired metaheuristics for multiobjective activity crashing," Omega, Elsevier, vol. 36(6), pages 1019-1037, December.
    7. M. Vanhoucke, 2004. "Work Continuity Constraints In Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/265, Ghent University, Faculty of Economics and Business Administration.
    8. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.
    9. Klein, Robert & Scholl, Armin, 1998. "PROGRESS: Optimally solving the generalized resource-constrained project scheduling problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 14077, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Kobylanski, Przemyslaw & Kuchta, Dorota, 2007. "A note on the paper by M. A. Al-Fawzan and M. Haouari about a bi-objective problem for robust resource-constrained project scheduling," International Journal of Production Economics, Elsevier, vol. 107(2), pages 496-501, June.
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    Keywords

    Project Management and Scheduling; Temporal Constraints; Resource Constraints; Priority Rules; Computational Results; Case Study;

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