نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسنده English
With the increasing complexity of manufacturing systems and the growing emphasis on sustainable development, optimizing production and maintenance policies has become essential for improving equipment reliability, reducing operational costs, and enhancing resource efficiency. This study develops an optimal control model based on a Semi-Markov Decision Process (SMDP) to jointly determine production, maintenance, repair, overhaul, preventive maintenance, and production outsourcing policies in a deteriorating manufacturing system. The proposed model explicitly incorporates the effects of equipment deterioration on production quality, system reliability, defective products, inventory level, and operational costs. An instantaneous cost function and a value function are formulated to derive optimal control policies that minimize the expected long-term discounted cost of the system. A simulation framework is also implemented to evaluate the model under different operational conditions and maintenance scenarios. The findings indicate that integrating production and maintenance decisions improves system reliability, reduces defective production, minimizes resource waste, and enhances lifecycle cost efficiency. Furthermore, the coordinated use of preventive maintenance, overhaul, and production outsourcing helps maintain production capacity while ensuring an efficient response to demand under equipment deterioration. From a human ecology perspective, the proposed framework promotes sustainable manufacturing through more efficient resource utilization, extended equipment service life, reduced industrial waste, and improved operational resilience. Consequently, the proposed model provides an effective decision-support tool for managers seeking to balance economic performance with the long-term sustainability of manufacturing systems.
کلیدواژهها English
6. Bousdekis, A., Lepenioti, K., Apostolou, D., & Mentzas, G. (2021). A review of data-driven decision-making methods for Industry 4.0 maintenance applications. Electronics, 10(7), 828. https://doi.org/10.3390/electronics10070828
7. Bousdekis, A., Magoutas, B., Apostolou, D., & Mentzas, G. (2015). A proactive decision making framework for condition-based maintenance. Industrial Management & Data Systems, 115(7), 1225–1250. https://doi.org/10.1108/IMDS-03-2015-0101
10. Liu, Y., Yang, M., & Guo, Z. (2022). Reinforcement learning based optimal decision making towards product lifecycle sustainability. International Journal of Computer Integrated Manufacturing, 35(10–11), 1269–1296. https://doi.org/10.1080/0951192X.2022.2123836
11. Lounis, Z., & McAllister, T. P. (2016). Risk-based decision making for sustainable and resilient infrastructure systems. Journal of Structural Engineering, 142(9), F4016005. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001543
13. Raeiszadeh, M., Gerami, J., Mozaffari, M. R., & Shirouyehzad, H. (2025). Dual DEA model for resilience and sustainability assessment in maintenance systems: A multi-objective genetic approach with dairy plant case study. International Journal of Operations Research and Artificial Intelligence, 1(3), 148–165.
14. Razavi Al-e-hashem, S. A., Papi, A., Pishvaee, M. S., & Rasouli, M. (2022). Robust maintenance planning and scheduling for multi-factory production networks considering disruption cost: A bi-objective optimization model and a metaheuristic solution method. Operational Research, 22(5), 4999–5034. https://doi.org/10.1007/s12351-021-00678-4
15. Setyadi, A., Pawirosumarto, S., & Damaris, A. (2025). Rethinking sustainable operations: A multi-level integration of circularity, localization, and digital resilience in manufacturing systems. Sustainability, 17(15), 6929. https://doi.org/10.3390/su17156929
16. Vrignat, P., Kratz, F., & Avila, M. (2022). Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review. Reliability Engineering & System Safety, 218, 108140. https://doi.org/10.1016/j.ress.2021.108140
17. Wu, S. and Clements-Croome, D., 2006, A novel repair model for imperfect maintenance. IMA Journal of Management Mathematics, 17, pp. 235-243. https://doi.org/10.1093/imaman/dpi036
اکولوژی انسانی
