A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem

We consider the dynamic and stochastic resource-constrained multi-project scheduling problem which allows for the random arrival of projects and stochastic task durations. Completing projects generates rewards, which are reduced by a tardiness cost in the case of late completion. Multiple types of r...

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Veröffentlicht in:	European journal of operational research Jg. 315; H. 2; S. 454 - 469
Hauptverfasser:	Satic, U., Jacko, P., Kirkbride, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2024
Schlagworte:	Approximate dynamic programming Dynamic programming Dynamic resource allocation Markov decision processes Project scheduling Project scheduling Approximate dynamic programming Dynamic resource allocation Dynamic programming Markov decision processes
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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