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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Bibliographic Details
Published in:	European journal of operational research Vol. 315; no. 2; pp. 454 - 469
Main Authors:	Satic, U., Jacko, P., Kirkbride, C.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2024
Subjects:	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 Access:	Get full text
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