Proportional Hazards Model-Based Global Dynamic Maintenance Optimization for Multi-Component Degradation System  
Author Yi Chen

 
Co-Author(s) Zijian Kang; Yu Zhao

 
Abstract This paper proposes a global dynamic maintenance‐optimization framework for multi‐component systems based on a Proportional Hazards Model (PHM) that integrates real‐time condition monitoring to update component hazard rates and remaining useful life. Maintenance decision‐making is formulated as a global optimization problem where updated PHM parameters determine optimal preventive maintenance (PM) intervals and group scheduling captures economic dependencies and shared setup costs. The total expected cost rate, comprising preventive, corrective, and group‐setup costs, is analytically expressed and minimized via a simulation‐based algorithm combining grid search and stochastic degradation sampling. A numerical case study of a four‐component pumping station demonstrates that the proposed method reduces long‐run maintenance costs compared with static, component‐by‐component policies by coordinating PM actions, adapting to evolving degradation states, and exploiting economic coupling. The results confirm that PHM‐driven group maintenance scheduling enhances cost efficiency. Future work can extend this framework by incorporating multi‐state degradation models, stochastic inspection effects, and real‐world field validation in industrial settings.

 
Keywords Maintenance grouping, Dynamic maintenance, Degradation system, Proportional hazards model
   
    Article #:  RQD2025-418
 

Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design
August 6-8, 2025