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Drexl, Andreas
Grünewald, Jürgen
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Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 236
This paper addresses methods for formulating and solving a general class of nonpreemptive resource-constrained project scheduling problems in which job durations are discrete functions of committed renewable, nonrenewable and doubly-constrained resources (multi-mode time resource tradeoff). We present a stochastic scheduling method with which these problems may be solved to suboptimality in an efficient way. Cumputational results demonstrate that this method is highly superior to other well-known existing deterministic scheduling rules. Extensions to problems in which job-specific (demand) resource profiles are varying with time, in addition to time-varying supply resource profiles, are discussed as well.
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Working Paper
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