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<p>The overall performance of an industrial repairable system can be greatly enhanced through the implementation of effective maintenance strategies. This study presents a novel methodology that integrates simulation modelling with a Maintenance Priority Matrix (MPM) to improve system performability, utilizing Petri Nets software. The proposed approach is further strengthened through the application of a Hybrid Optimization Technique (HOT), which combines Particle Swarm Optimization (PSO) with the Gravitational Search Algorithm (GSA). The system under investigation comprises four critical subsystems: Computer Numerical Control (CNC) machine, Electric Discharge Machine (EDM), Wire Cut Machine (WCM), and Die Spotting Press. Modelling was performed using a licensed version of Petri GRIF-predicates software. Performability analysis, with a focus on system availability, was carried out by varying the Repair and Failure Rates (RFR) of each subsystem. Results reveal that the WCM subsystem demands the highest maintenance priority, while the EDM subsystem requires the least attention in terms of maintenance. The finding of this study can be useful for maintenance management in developing the maintenance plans and procedures that would achieve the ultimate goal of economical maintenance and higher level of performability of the industrial systems.</p>

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Simulation-based modeling and hybrid optimization for evaluating the performability of an industrial repairable system

  • 期刊论文

  • 发表日期：

    2025年6月20日

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  • Shanti Parkash,
  • P. C. Tewari

摘要

The overall performance of an industrial repairable system can be greatly enhanced through the implementation of effective maintenance strategies. This study presents a novel methodology that integrates simulation modelling with a Maintenance Priority Matrix (MPM) to improve system performability, utilizing Petri Nets software. The proposed approach is further strengthened through the application of a Hybrid Optimization Technique (HOT), which combines Particle Swarm Optimization (PSO) with the Gravitational Search Algorithm (GSA). The system under investigation comprises four critical subsystems: Computer Numerical Control (CNC) machine, Electric Discharge Machine (EDM), Wire Cut Machine (WCM), and Die Spotting Press. Modelling was performed using a licensed version of Petri GRIF-predicates software. Performability analysis, with a focus on system availability, was carried out by varying the Repair and Failure Rates (RFR) of each subsystem. Results reveal that the WCM subsystem demands the highest maintenance priority, while the EDM subsystem requires the least attention in terms of maintenance. The finding of this study can be useful for maintenance management in developing the maintenance plans and procedures that would achieve the ultimate goal of economical maintenance and higher level of performability of the industrial systems.