1 Master of Engineering Science in Industrial Engineering, Lamar University, Beaumont, Texas, USA.
2 Master of Industrial Engineering, Lamar University, Beaumont, Texas, USA.
3 Master of Science in Engineering Management, Westcliff University, California, USA.
4 Master of Engineering, Industrial Systems Engineering, Lamar University, Beaumont, TX.
* Corresponding Author
ORCID Details
Mohammad Mostafijur Rahman: https://orcid.org/0009-0007-6919-5773
Safaul Islam Rohan: https://orcid.org/0009-0003-0726-8958
MD Monasur Rahman: https://orcid.org/0009-0009-0452-143X
Md Jahedul Islam Arif: https://orcid.org/0009-0009-0104-6565
International Journal of Science and Research Archive, 2026, 20(03), 569–583
Article DOI: 10.30574/ijsra.2026.20.3.1763
Received on 04 August 2026; revised on 13 September 2026; accepted on 15 September 2026
Smart industrial systems must balance equipment reliability, energy use, maintenance cost, production continuity, and technical resources. This study proposes a multi-objective predictive maintenance and energy-aware resource optimization framework for industrial decision-making. The framework combines equipment health assessment, Remaining Useful Life (RUL) estimation, anomaly detection, failure probability, and maintenance prioritization. K-means clustering determines the Anomaly Level (AL), while Weibull survival analysis estimates Failure Probability (FP). These measures form a Hybrid Risk Index (HRI) for determining the Optimal Maintenance Point (OMP). NSGA-II evaluates maintenance timing, asset selection, and technician allocation under maintenance cost, energy, quality, and production objectives. Performance is compared with preventive maintenance, condition based maintenance, and reliability only optimization under changing industrial conditions.
Predictive Maintenance, Energy-Aware Optimization, Smart Industrial Systems, Equipment Health Assessment, Remaining Useful Life, Hybrid Risk Index, Optimal Maintenance Point, Multi-Objective Optimization, NSGA-II, Resource Allocation
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Mohammad Mostafijur Rahman, Safaul Islam Rohan, Monasur Rahman and Jahedul Islam Arif. MULTI-OBJECTIVE PREDICTIVE MAINTENANCE AND ENERGY-AWARE RESOURCE OPTIMIZATION FOR SMART INDUSTRIAL SYSTEMS. International Journal of Science and Research Archive, 2026, 20(03), 569–583. Article DOI: https://doi.org/10.30574/ijsra.2026.20.3.1763.
