Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

A Multi-Objective Optimization Approach for Smart Preventive Maintenance in High-Speed Presses Using MOPSO and Real-Time Reliability Analysis

Document Type : Research Paper

Authors
Kazem Ramezani 1
Majid Motamedi 2
Mohammad Hosein Darvish Motevali 3
Mohammad MehdiMovahedi 4
1 Phd student in Industrial Management, Rudehen Branch, Islamic Azad University, Rudehen, Iran
2 Department of Industrial Management, Nowshahr Branch, Islamic Azad University, Nowshahr, Iran
3 Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran
4 Department of Industrial Management, Firozkoh Branch, Islamic Azad University, Firozkoh, Iran
Abstract
High-speed presses are critical in modern manufacturing but face challenges due to wear and unplanned downtime. This study introduces an innovative multi-objective framework integrating Multi-Objective Particle Swarm Optimization (MOPSO) with real-time reliability monitoring for preventive maintenance and repair scheduling. The model increases system reliability and minimizes total system costsover a defined operational horizon. It leverages Weibull reliability modeling to predict degradation and incorporates IoT-enabled data for dynamic updates. Decision variables, including preventive maintenance intervals and actions, are optimized while adhering to reliability thresholds. The proposed approach balances the trade-offs between frequent, costly preventive actions and higher risks of failure. A practical case study on a high-speed press demonstrates the framework's effectiveness, yielding a Pareto-optimal set of solutions that guide maintenance strategies. This research provides manufacturers with a flexible, data-driven tool to enhance uptime, reduce costs, and maintain operational excellence in competitive industrial environments.
Keywords
Smart Preventive Maintenance
High-Speed Presses
Real-Time Reliability Analysis
MOPSO
Subjects
Ali, A., & Abdelhadi, A. (2022). Condition-based monitoring and maintenance: State of the art review. Applied Sciences, 12(2), 688.
Deb, K., Pratap, A., Agarwal, S., &Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197.
Goyal, D., Sharma, R., & Verma, A. (2019). Condition-based maintenance of critical systems: A review. Journal of Manufacturing Processes, 42, 284–295.
Liu, X., Wang, Y., & Zhang, H. (2020). AI-based predictive maintenance in manufacturing: A review. Computers in Industry, 122, 103300.
Ma. Y., Wang. D., Shen. Y., (2024). Modeling and Multi-ObjectiveOptimization Design of High-Speedon/off Valve System. Appl. Sci. 2024,14, 7879.
Mishra, A., Kachhwaha, S. S., & Sharma, P. (2021). A review on advancements in maintenance strategies for manufacturing systems. International Journal of Advanced Manufacturing Technology, 115(3), 897–916.
Movahed, A. B., Movahed, A. B., & Nozari, H. (2024). Smart Life and Sustainability. ISciHub.
Mrozek, D., et al. (2023). From corrective to predictive maintenance: A review of maintenance approaches for the power industry. Sensors, 23(13), 5970.
Nozari, H. (Ed.). (2023). Building Smart and Sustainable Businesses with Transformative Technologies. IGI Global.
Nozari, H., & Aliahmadi, A. (2022). Lean supply chain based on IoT and blockchain: Quantitative analysis of critical success factors (CSF). Journal of Industrial and Systems Engineering, 14(3), 149-167.
Nozari, H., & Szmelter-Jarosz, A. (2022). IoT-based supply chain for smart business. ISNet.
Nozari, H., Fallah, M., &Szmelter-Jarosz, A. (2021). A conceptual framework of green smart IoT-based supply chain management. International journal of research in industrial engineering, 10(1), 22-34.
Nozari, H., Ghahremani-Nahr, J., Fallah, M., &Szmelter-Jarosz, A. (2022). Assessment of cyber risks in an IoT-based supply chain using a fuzzy decision-making method. International Journal of Innovation in Management, Economics and Social Sciences, 2(1).
Nozari, H., Szmelter-Jarosz, A., & Rahmaty, M. (2024). Smart Marketing Based on Artificial Intelligence of Things (AIoT) and Blockchain and Evaluating Critical Success Factors. In Smart and Sustainable Interactive Marketing (pp. 68-82). IGI Global.
Qi ZHONG, Junxian WANG, Enguang XU, Cheng YU, Yanbiao LI, (2024). Multi-objective optimization of a high speed on/off valve for dynamic performance improvement and volume minimization,Chinese Journal of Aeronautics,37 (10), 435-444.
Rahmaty, M., &Nozari, H. (2023). Optimization of the hierarchical supply chain in the pharmaceutical industry. Edelweiss Applied Science and Technology, 7(2), 104-123.
Singh, M., et al. (2016). Preventive maintenance scheduling for mechanical systems: A systematic review. Maintenance and Reliability, 18(4), 567–582.
Journal of Industrial and Systems Engineering
Volume 16, Issue 3 - Serial Number 3
Summer 2024
Pages 118-130

  • Receive Date 08 January 2024
  • Revise Date 18 February 2024
  • Accept Date 23 June 2024