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

DOI10.1016/j.ejor.2023.10.046MaRDI QIDQ6554641

Ugur Satic, Christopher Kirkbride, Peter Jacko

Publication date: 13 June 2024

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

project schedulingdynamic programmingMarkov decision processesdynamic resource allocationapproximate dynamic programming

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

This page was built for publication: A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem