Cycle Time

Last updated 2026.02.13
사이클타임CycleTime생산성Productivity공정최적화ProcessOptimization제조AIManufacturingAI실시간모니터링RealTimeMonitoring

Definition

Cycle Time refers to the total time required to complete one product or part in a manufacturing process. It is typically measured as the time interval from when work begins until the same work starts again for the next product, serving as one of the most critical indicators of production efficiency.

Application in Manufacturing

Productivity Measurement and Improvement

Cycle time is essential for identifying production line bottlenecks and calculating overall production capacity. By analyzing cycle time for each process, manufacturers can improve the slowest operations to enhance overall productivity.

Production Planning and Scheduling

  • Capacity Calculation: Computing daily/monthly production quantities based on cycle time
  • Delivery Forecasting: Establishing customer delivery commitments with accurate cycle time data
  • Resource Allocation: Balancing cycle times across processes for optimal resource distribution

Manufacturing AI Application

AI-based cycle time optimization significantly enhances manufacturing competitiveness:

  • Real-time Monitoring: Tracking each equipment's cycle time in real-time using IoT sensors and AI algorithms
  • Predictive Analytics: Forecasting cycle time using machine learning models that consider equipment condition, operator skill level, and material properties
  • Anomaly Detection: Automatically detecting cycle times outside normal ranges to identify quality issues or equipment failures early
  • Optimization Recommendations: AI analyzing process parameter combinations to suggest cycle time reduction strategies

Key Points

Understanding the difference in measurement methods is crucial:

  • Actual Cycle Time: The real time taken to complete one product
  • Standard Cycle Time: The ideal time set as design or target

Example: In an automotive parts pressing process with a 45-second cycle time, approximately 80 parts can be produced per hour. An AI system monitoring this can alert operators to die wear or hydraulic issues when cycle time increases to 50 seconds.