Joint scheduling of permutation flow shop production and preventive maintenance using a reinforcement learning algorithm

Zhenpeng Ge; Jianyou Xu; Hongfeng Wang

doi:10.1117/12.3004188

11 October 2023 Joint scheduling of permutation flow shop production and preventive maintenance using a reinforcement learning algorithm

Zhenpeng Ge, Jianyou Xu, Hongfeng Wang

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128001I (2023) https://doi.org/10.1117/12.3004188
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

This paper studies a Permutation Flow Shop Scheduling Problem (PFSSP) considering maintenance activities and energy consumption, in which machine failures obey Weibull distribution. In case of an unexpected failure, a Corrective Maintenance (CM) policy is triggered automatically. Moreover, Preventive Maintenance (PM) as a proactive maintenance strategy is introduced to improve deteriorating effects and reduce the probability of failures. Then, a multi-objective production-maintenance joint optimization model is proposed. Compared to the traditional PFSSP, this joint model is more complex. To solve it, a Reinforcement Learning (RL)-based solution approach is designed with specific state sets, action sets and reward functions. Numerical studies show that the application of RL in integrated scheduling has high solution performance by comparing with seven heuristic rules.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenpeng Ge, Jianyou Xu, and Hongfeng Wang "Joint scheduling of permutation flow shop production and preventive maintenance using a reinforcement learning algorithm", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128001I (11 October 2023); https://doi.org/10.1117/12.3004188

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