An approximate dynamic programming approach to project scheduling with uncertain resource availabilities

We study the stochastic resource-constrained project scheduling problem with uncertain resource availability, called SRCPSP-URA, and model it as a sequential decision problem. A new Markov decision process (MDP) model is developed for the SRCPSP-URA. It dynamically and adaptively determines not only...

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Bibliographic Details

Published in:	Applied Mathematical Modelling Vol. 97; p. 226
Main Authors:	Xie, Fang, Li, Haitao, Xu, Zhe
Format:	Journal Article
Language:	English
Published:	New York Elsevier BV 01.09.2021
Subjects:	Algorithms Computing time Dynamic programming Exact solutions Markov processes Project management Resource scheduling
ISSN:	1088-8691, 0307-904X
Online Access:	Get full text
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