Effective lubrication management is critical for reducing friction-induced wear and extending the lifespan of mechanical components. This paper examines the "Mazacom" (lubrication plan) methodology, evaluating its efficacy in high-uptime industrial environments. By analyzing data from automotive manufacturing hubs, this study proposes a digitized Mazacom model that integrates real-time sensor data to move from scheduled to predictive maintenance. Key Sections:
Effective lubrication management is critical for reducing friction-induced wear and extending the lifespan of mechanical components. This paper examines the "Mazacom" (lubrication plan) methodology, evaluating its efficacy in high-uptime industrial environments. By analyzing data from automotive manufacturing hubs, this study proposes a digitized Mazacom model that integrates real-time sensor data to move from scheduled to predictive maintenance. Key Sections: