Availability (System)

Last updated 2026.02.13
가동률AvailabilityOEE설비관리예지보전제조AI생산성KPI

Definition

Availability is the probability that equipment or a system will function as required when needed during a specified period. In manufacturing, it represents the ratio of time that production equipment is available for operation, calculated as the percentage of planned time that can actually be used for production. It is a comprehensive performance indicator that encompasses reliability, maintainability, and supportability.

Application in Manufacturing

Core KPI for Equipment Management

In manufacturing facilities, availability serves as the first component of OEE (Overall Equipment Effectiveness) calculation. It is typically calculated as:

  • Availability = (Operating Time / Planned Time) × 100%
  • Operating Time = Planned Time - Downtime - Setup/Changeover Time

Starting Point for Productivity Improvement

Low availability indicates issues such as equipment failures, unplanned stops, and setup delays. Manufacturers monitor availability to:

  • Establish preventive maintenance plans: Proactive maintenance based on failure pattern analysis
  • Identify bottleneck processes: Locate equipment with low availability in production lines
  • Determine investment priorities: Plan for aging equipment replacement and improvement

Manufacturing AI Application

Availability Improvement through Predictive Maintenance

AI technology provides innovative methods for improving availability:

  • Real-time monitoring: 24/7 equipment condition surveillance via sensor data
  • Failure prediction: Machine learning models provide 3-7 day advance warning of failures
  • Optimal maintenance scheduling: Suggests best maintenance timing by integrating production plans and equipment status
  • Root cause analysis: Automated data-driven analysis of availability degradation factors

Key Points

  • Availability above 85% is a typical target, with world-class manufacturers achieving 90%+
  • The essence is not just running equipment frequently, but ensuring it operates reliably when needed
  • AI-based predictive maintenance typically improves availability by 10-20%
  • OEE, calculated as Availability × Performance × Quality, represents the ultimate productivity metric