Downtime

Last updated 2026.02.13
다운타임DowntimeOEE예지정비Predictive Maintenance설비관리생산성AI이상탐지

Definition

Downtime refers to the period when manufacturing equipment or production lines are stopped due to unplanned failures or planned maintenance. In manufacturing, it is a critical loss factor directly linked to productivity and a key metric that undermines equipment availability.

Application in Manufacturing

Types of Downtime

  • Planned Downtime: Pre-scheduled interruptions for regular inspections, preventive maintenance, and training
  • Unplanned Downtime: Unexpected interruptions due to sudden breakdowns, quality issues, or material shortages

Relationship with OEE

Downtime directly impacts the Availability component of OEE (Overall Equipment Effectiveness) calculation. Availability = (Planned Production Time - Downtime) / Planned Production Time. Reducing downtime is essential for improving production efficiency.

AI-Based Downtime Management

Predictive Maintenance

AI models analyze sensor data (vibration, temperature, current, etc.) in real-time to predict equipment failures in advance. This enables converting unplanned downtime into planned downtime, minimizing production losses.

Real-Time Monitoring

  • Anomaly detection algorithms continuously monitor equipment conditions
  • Digital twins for virtual simulation to determine optimal maintenance timing
  • Machine learning-based Root Cause Analysis (RCA) to identify downtime occurrence patterns

Key Points

In manufacturing facilities, one minute of downtime can result in losses of millions of won. For automotive assembly lines, one hour of downtime can cause production losses of hundreds of millions of won. Companies implementing AI-based predictive maintenance have achieved 30-50% reduction in unplanned downtime.