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Minimizing total weighted completion times subject to precedence constraints by dynamic programming

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  • Drexl, Andreas
  • Kimms, Alf

Abstract

In this paper we present a polynomial time dynamic programming algorithm for solving a scheduling problem with a (total) weighted completion time objective function where the weights are activity- and time-dependent. We highlight application areas for this type of problem to underscore the relevance of it. A computational study proves that large instances with up to 120 activities can be solved.

Suggested Citation

  • Drexl, Andreas & Kimms, Alf, 1998. "Minimizing total weighted completion times subject to precedence constraints by dynamic programming," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 475, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:475
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    References listed on IDEAS

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    1. Christofides, Nicos & Alvarez-Valdes, R. & Tamarit, J. M., 1987. "Project scheduling with resource constraints: A branch and bound approach," European Journal of Operational Research, Elsevier, vol. 29(3), pages 262-273, June.
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    3. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    4. Elmaghraby, Salah E. & Herroelen, Willy S., 1990. "The scheduling of activities to maximize the net present value of projects," European Journal of Operational Research, Elsevier, vol. 49(1), pages 35-49, November.
    5. Elmaghraby, Salah E., 1995. "Activity nets: A guided tour through some recent developments," European Journal of Operational Research, Elsevier, vol. 82(3), pages 383-408, May.
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    1. Drexl, Andreas & Kimms, Alf, 1998. "Optimization guided lower and upper bounds for the resource investment problem," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 481, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

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