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

Andreas Drexl and Alf Kimms

No 475, Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel from Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre

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.

Keywords: Total weighted completion time objective; precedence constraints; dynamic programming (search for similar items in EconPapers)
Date: 1998
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Citations: View citations in EconPapers (1)

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