Optimizing Maintenance Cost in A Multi Component Environment

Fahim Ul Haque1, Aizizul Haque Raza2*, & Dr. Md. Mosharraf Hossain3
1,2,3 Department of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.
*Corresponding author(s).
DOI – http://doi.org/10.37502/IJSMR.2025.8105

Abstract

This research presents a cost-centric approach to maintenance scheduling in multi-component systems, aimed at minimizing expenses while optimizing operational efficiency. By integrating predictive analytics and optimization techniques, we conduct a comprehensive analysis of production loss costs for diverse maintenance sequences, employing genetic algorithms to identify the most cost-effective strategy. Through rigorous exploratory data analysis, we refine our model and demonstrate its efficacy in achieving significant cost savings. A comparative case study showcases substantial reductions in maintenance expenses compared to traditional methods like RUL based scheduling, underscoring the potential of our approach in enhancing cost management and operational performance in industrial contexts. This study contributes valuable insights to the field of maintenance optimization and offers practical implications for industry practitioners seeking to improve cost-effectiveness and operational efficiency in multi-component systems.

Keywords: Maintenance scheduling, Cost optimization, multi-component systems, Predictive analytics, Optimization techniques, Genetic algorithms, Exploratory data analysis.

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