Reinforcement learning and stochastic dynamic programming for jointly scheduling jobs and preventive maintenance on a single machine to minimise earliness-tardiness

This paper addresses the problem of stochastic jointly scheduling of resumable jobs and preventive maintenance on a single machine, subject to random breakdowns, to minimise the earliness-tardiness cost. The main objective is to investigate using trending machine learning-based methods compared to s...

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Vydáno v:	International journal of production research Ročník 62; číslo 3; s. 705 - 719
Hlavní autoři:	Sabri, Abderrazzak, Allaoui, Hamid, Souissi, Omar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 01.02.2024 Taylor & Francis LLC
Témata:	Advanced planning and scheduling systems Algorithms Computer Science Computing time Deep learning Dynamic programming Lateness Machine learning Preventive maintenance Run time (computers) Scheduling Stochastic programming
ISSN:	0020-7543, 1366-588X
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