Prioritization Recommendations: Implement ML algorithms to analyze historical maintenance data, including mission-critical equipment, material availability, and personnel availability. Leverage these algorithms to learn patterns and generate prioritization recommendations for work orders. Consider factors such as equipment criticality, mission requirements, and resource constraints to dynamically adjust the priority of work orders and optimize maintenance scheduling.
