Dynamic maintenance scheduling approach under uncertainty: Comparison between reinforcement learning, genetic algorithm simheuristic, dispatching rules
Author:
Funder
Fonds National de la Recherche
Publisher
Elsevier BV
Reference45 articles.
1. Hybrid proactive approach for solving maintenance and planning problems in the scenario of Industry 4.0;Alves;IFAC-PapersOnLine,2020
2. A maintenance driven scheduling cockpit for integrated production and maintenance operation schedule;Arena;Advances in Manufacturing,2022
3. Post prognostic decision for predictive maintenance planning with remaining useful life uncertainty;Benaggoune,2020
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