Mémoires INGENIEUR (GI)

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PREVENTIVE MAINTENANCE STRATEGY FOR PRODUCTION PROCESSES AT CP1Z ARZEW PLANT (ORAN) BASED ON DATA ANALYSIS: OPTIMIZING MAINTENANCE PLANNING AND COST ESTIMATION.
(NATIONAL HIGHER SCHOOL OF TECHNOLOGY AND ENGINEERING - ANNABA, 2025) ABLA Ikram; DJEMANA Mohamed (Encadrant)
This final year project focuses on the optimization of preventive maintenance planning and cost reduction for industrial equipment. By analyzing key reliability performance indicators such as failure rates, availability, and maintenance costs, the study identifies inefficiencies in the current maintenance strategy. A Particle Swarm Optimization (PSO) algorithm is then applied to generate an optimal maintenance schedule that balances minimizing costs and maximizing equipment reliability and availability. The results demonstrate significant improvements in operational performance and cost efficiency, validating the effectiveness of combining data-driven analysis with advanced optimization techniques. This approach offers a practical framework for sustainable and cost-effective maintenance management in industrial settings.