Maintenance Scheduling

Last updated 2026.02.13
보전관리스케줄링예지보전설비관리maintenanceschedulingpredictive-maintenanceasset-management

Definition

Maintenance Scheduling is the process of planning and assigning maintenance tasks for manufacturing equipment at optimal times and sequences. It comprehensively considers production schedules, equipment conditions, and availability of personnel and materials to efficiently coordinate Preventive Maintenance (PM) and Breakdown Maintenance (BM) activities.

Applications in Manufacturing

Scheduling Types

  • Time-Based Maintenance (TBM): Planned maintenance at regular intervals
  • Condition-Based Maintenance (CBM): Scheduling based on equipment condition from sensor data
  • Predictive Maintenance (PdM): AI models predict failure timing for optimal scheduling

Key Considerations

  • Minimizing Production Impact: Utilizing downtime periods or planned shutdown windows
  • Resource Optimization: Efficient allocation of maintenance personnel, spare parts, and tools
  • Priority Management: Prioritization based on critical asset importance and failure risk

AI Implementation

Modern manufacturing facilities employ machine learning-based predictive models to forecast equipment failures, while optimization algorithms simultaneously coordinate production and maintenance schedules. For instance, in semiconductor manufacturing lines, AI analyzes equipment degradation patterns to automatically suggest maintenance windows that minimize production impact. This approach achieves 5-15% improvement in equipment availability and 20-30% reduction in maintenance costs.