Akademik Veri Yönetim Sistemi
11th International Conference on Industrial Engineering and Applications-Europe, ICIEA-EU 2024, Nice, Fransa, 10 - 12 Ocak 2024, cilt.507 LNBIP, ss.12-22
Maintenance within the mining industry is a global challenge, demanding innovative solutions due to its multifaceted nature. The complexity, size, competition, escalating costs, and the need for a proficient workforce present formidable obstacles. This study focuses on optimizing technically skilled worker allocation in the mining industry’s maintenance department, developing a continuous-event simulation model. The ever-increasing intricacy of mining equipment necessitates heightened reliability to ensure efficient, continuous production. Adequate maintenance is crucial in this context. The research problem revolves around the critical role of technically skilled workers during maintenance operations, where their absence can lead to delays and operational inefficiencies. Skilled maintenance technicians are indispensable, capable of accurately diagnosing equipment issues, reducing costly breakdowns, and minimizing downtime through preventive maintenance. They also expedite the repair process when required. To address these challenges, our study introduces a continuous event simulation algorithm designed to minimize costs. This algorithm takes into account factors such as production losses and maintenance workforce expenses while maximizing equipment utilization. By doing so, the research contributes to the field by emphasizing the importance of a skilled workforce in mining maintenance, ensuring equipment longevity, performance, and safety. The contribution of this study lies in its practical application of advanced algorithms to optimize technically skilled worker allocation, mitigating operational challenges and highlighting the crucial role of skilled maintenance management in the evolving landscape of mining equipment.