System Engineering and Productivity

System Engineering and Productivity

Design of a Preventive Maintenance Mathematical Model for High-speed Press Machines

Document Type : Research Paper

Authors
1 Ph.D. Student, Department of Industrial Management, Ro. C., Islamic Azad University, Rudehen, Iran
2 Corresponding author: Assistant Professor, Department of Industrial Management, WT.C., Islamic Azad University, Tehran, Iran
3 Assistant Professor, Department of Industrial Management, Nos.C., Islamic Azad University, Nowshahr, Iran
4 Associate Professor, Department of Industrial Management, SR. C., Islamic Azad University, Tehran, Iran.
Abstract
In modern manufacturing systems, preventive maintenance is recognized as a key strategy for optimizing performance and reducing costs. This research aims to develop a novel preventive maintenance model for high-speed press machines. The proposed model, considering operational constraints and targeting the minimization of time and cost while maximizing reliability, is formulated as a multi-objective optimization problem. To solve this problem, the metaheuristic algorithms NSGA-II and Grey Wolf Optimizer have been employed, and the model’s effectiveness has been evaluated through solving small-scale examples. The results indicate that the proposed model can significantly reduce maintenance costs and simultaneously minimize machine downtime by determining optimal times for preventive maintenance activities. Furthermore, the suggested preventive maintenance model improves system reliability, leading to increased productivity and reduced costs associated with sudden failures. This model can serve as an effective decision-making tool for managers and engineers in various industries.

Highlights

  • Presenting a novel preventive maintenance model for a high-speed press machine
  • Modeling the multi-objective optimization problem using metaheuristic algorithms
  • Reducing maintenance costs and downtime

Keywords
Subjects

Copyright © Kazem Ramezani, Mohammad Hossein Darvish Motevalli, Majid Motamedi, Mohammad Mehdi Movahedi

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

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Articles in Press, Accepted Manuscript
Available Online from 14 September 2025

  • Receive Date 04 August 2025
  • Revise Date 27 August 2025
  • Accept Date 13 September 2025
  • First Publish Date 14 September 2025
  • Publish Date 14 September 2025