1.Prioritize Critical Equipment: Focus on preventive maintenance for high-priority, mission-critical equipment to minimize downtime and avoid costly repairs. 2.Leverage Predictive Maintenance: Use AI and data analytics to predict failures before they occur, reducing unplanned downtime and optimizing schedules. 3. Asset Optimization: Regularly assess equipment performance and extend its lifecycle by recalibrating or upgrading machinery rather than replacing it. 4. Collaborate and Communicate: Work with your team and other departments to identify cost-saving opportunities and ensure alignment on goals. 5. Outsource When Needed: Outsource non-core maintenance to reduce costs or access specialized expertise without increasing overhead.

Tight budget constraints have become normal operating procedures in many companies in recent years, while some operate under these restrictions as SOP. Ensuring peak performance with limited funds for parts and outside repairs is incredibly challenging. This requires an incredible amount of pre planning, it requires a lot of data and data collection on machines, parts and shutdown frequency. A realistic look at the lifecycle of critical parts and what may add to failure of these parts. A regimented program of upkeep, and maintenance, in attempt to extend the life of critical parts and components. Sourcing of parts may also need to be adjusted and fine tuned as well on hand inventory items.