Integrated production/inventory and condition-based maintenance control of a multi-item production system under stochastic demand
- Author
- Alp Darendeliler, Dieter Claeys (UGent) and El-Houssaine Aghezzaf (UGent)
- Organization
- Abstract
- This paper studies the joint production/inventory and condition-based maintenance control for a multi-product manufacturing system with setup and maintenance times under stochastic product demands. The problem is modelled as a semi-Markov decision process (SMDP). The objective is to find a joint production and maintenance policy that minimizes the long run expected discounted cost including setup, holding, lost sales, preventive and corrective maintenance costs. A Q-learning method with state aggregation (QLA) is proposed to find near-optimal policies for large-scale problems that cannot be solved to optimality due to the curse of dimensionality. The numerical results show that QLA provides well-performing policies in a reasonable computational time.
- Keywords
- condition-based maintenance, lot-sizing, scheduling, multi-product, inventory, reinforcement learning
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HBB8YH3YPVGA8P33AMF82Q61
- MLA
- Darendeliler, Alp, et al. “Integrated Production/Inventory and Condition-Based Maintenance Control of a Multi-Item Production System under Stochastic Demand.” Proceedings of the 10th International Conference on Industrial Engineering and Applications, vol. 35, 2023, pp. 72–83, doi:10.3233/ATDE230032.
- APA
- Darendeliler, A., Claeys, D., & Aghezzaf, E.-H. (2023). Integrated production/inventory and condition-based maintenance control of a multi-item production system under stochastic demand. Proceedings of the 10th International Conference on Industrial Engineering and Applications, 35, 72–83. https://doi.org/10.3233/ATDE230032
- Chicago author-date
- Darendeliler, Alp, Dieter Claeys, and El-Houssaine Aghezzaf. 2023. “Integrated Production/Inventory and Condition-Based Maintenance Control of a Multi-Item Production System under Stochastic Demand.” In Proceedings of the 10th International Conference on Industrial Engineering and Applications, 35:72–83. https://doi.org/10.3233/ATDE230032.
- Chicago author-date (all authors)
- Darendeliler, Alp, Dieter Claeys, and El-Houssaine Aghezzaf. 2023. “Integrated Production/Inventory and Condition-Based Maintenance Control of a Multi-Item Production System under Stochastic Demand.” In Proceedings of the 10th International Conference on Industrial Engineering and Applications, 35:72–83. doi:10.3233/ATDE230032.
- Vancouver
- 1.Darendeliler A, Claeys D, Aghezzaf E-H. Integrated production/inventory and condition-based maintenance control of a multi-item production system under stochastic demand. In: Proceedings of the 10th International Conference on Industrial Engineering and Applications. 2023. p. 72–83.
- IEEE
- [1]A. Darendeliler, D. Claeys, and E.-H. Aghezzaf, “Integrated production/inventory and condition-based maintenance control of a multi-item production system under stochastic demand,” in Proceedings of the 10th International Conference on Industrial Engineering and Applications, Phuket, Thailand, 2023, vol. 35, pp. 72–83.
@inproceedings{01HBB8YH3YPVGA8P33AMF82Q61,
abstract = {{This paper studies the joint production/inventory and condition-based maintenance control for a multi-product manufacturing system with setup and maintenance times under stochastic product demands. The problem is modelled as a semi-Markov decision process (SMDP). The objective is to find a joint production and maintenance policy that minimizes the long run expected discounted cost including setup, holding, lost sales, preventive and corrective maintenance costs. A Q-learning method with state aggregation (QLA) is proposed to find near-optimal policies for large-scale problems that cannot be solved to optimality due to the curse of dimensionality. The numerical results show that QLA provides well-performing policies in a reasonable computational time.}},
author = {{Darendeliler, Alp and Claeys, Dieter and Aghezzaf, El-Houssaine}},
booktitle = {{Proceedings of the 10th International Conference on Industrial Engineering and Applications}},
isbn = {{9781643684086}},
issn = {{2352-751X}},
keywords = {{condition-based maintenance,lot-sizing,scheduling,multi-product,inventory,reinforcement learning}},
language = {{eng}},
location = {{Phuket, Thailand}},
pages = {{72--83}},
title = {{Integrated production/inventory and condition-based maintenance control of a multi-item production system under stochastic demand}},
url = {{http://doi.org/10.3233/ATDE230032}},
volume = {{35}},
year = {{2023}},
}
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