Computational Optimization of Preventive Maintenance Schedules in Repairable Mechanical Systems Using NSGA-II
- سال انتشار: 1404
- محل انتشار: مجله مکانیک کاربردی محاسباتی، دوره: 56، شماره: 4
- کد COI اختصاصی: JR_JCAM-56-4_010
- زبان مقاله: انگلیسی
- تعداد مشاهده: 51
نویسندگان
Department of Industrial Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
Department of Industrial Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
چکیده
In this study, a computational framework is proposed for optimizing preventive maintenance scheduling in complex mechanical systems, with a focus on minimizing total maintenance costs while preserving system availability and mechanical reliability. The model incorporates multi-level maintenance actions—including inspection, repair, and component replacement—over a defined planning horizon. A nonlinear integer programming formulation is developed to capture cost elements such as random failure, repair, replacement, and planned downtime. To address the combinatorial complexity of the problem, a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is employed to generate near-optimal solutions. The proposed method is applied to a real-world Cathodic Protection System used in steel gas distribution networks, which are critical mechanical infrastructures subject to electrochemical degradation. Results demonstrate a ۳۶% reduction in total maintenance costs, highlighting the effectiveness of the model in improving asset performance and extending system life through optimized maintenance strategies.کلیدواژه ها
Preventive Maintenance Optimization, Computational Mechanics, Mechanical Asset Management, Multi-Objective Evolutionary Algorithm (NSGA-II), Nonlinear Integer Programmingاطلاعات بیشتر در مورد COI
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