- Schedule regular maintenance checks: Develop a routine for preventive maintenance to address potential issues before they turn into costly breakdowns. This reduces the need for frequent reactive service calls. - Implement a dynamic dispatch system: Use a flexible scheduling system that can adapt to emergencies while ensuring routine maintenance tasks are still completed. Prioritize urgent service calls without neglecting preventive maintenance. - Leverage data analysis: Analyze historical service data to predict when equipment is likely to fail. By understanding patterns, you can plan proactive maintenance more strategically, minimizing unexpected breakdowns.

In my honest opinion, this is always a catch situation, which is difficult to balance unless you invest in technology, like including iot to stream in data from the assets and deep analysis of the existing service data to spot trends and scope of improvements. Strengthening preventive or predictive maintenance will only improve the reactive maintenance journey.