Maintenance Management in Industries: Strategies and Best Practices

Effective Maintenance Management (MM) plays a pivotal role in ensuring the operational efficiency and reliability of Industrial Systems (IS). This paper explores advanced strategies and best practices in MM, emphasizing preventive, and condition-based approaches. A comprehensive review of existing methodologies highlights the critical factors influencing maintenance outcomes, including cost efficiency, system uptime, and safety. Additionally, a novel framework is proposed to enhance maintenance operations through the integration of data analytics and smart technologies. Simulation results demonstrate the effectiveness of the proposed approach in optimizing maintenance schedules, reducing downtime, and improving overall productivity. The findings of this paper provide actionable insights for industrial practitioners and pave the way for future research in smart MM.

کلیدواژه ها:

Maintenance Management ، Predictive Maintenance ، Decision Support System ، Industrial Maintenance Optimization ، Cost-Benefit Analysis