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Cycle Time

The actual time required to complete one unit of production — a fundamental measure of process efficiency.

Formula

Time Period ÷ Units Produced

Benchmarks

World-class: Consistently at ideal cycle time Good: Within 10% of ideal Typical: 10–25% above ideal Poor: >25% above ideal or highly variable

What Is Cycle Time?

Cycle Time measures the actual time required to produce one unit, from start to finish. It is the inverse of Production Rate — instead of “how many per hour,” it answers “how long per unit.”

The Formula

Cycle Time = Time Period ÷ Units Produced

Or measured directly as the time from start to completion of one unit.

Example: 300 units produced in 150 minutes. Cycle Time = 150 ÷ 300 = 0.5 minutes (30 seconds) per unit.

Data Requirements

SourceRequiredWhat You Need
Machine DataYesProduction counter, timestamps (or direct cycle time measurement)

Cycle Time is a Phase 2 metric — it requires reliable production counting and ideally a defined ideal cycle time for comparison.

Why It Matters

  • Process efficiency indicator — the most direct measure of “how fast are we actually producing?”
  • Variation reveals problems — inconsistent cycle times point to process instability, tooling issues, or operator variability
  • Capacity planning input — realistic production planning depends on actual cycle times, not theoretical ones
  • Improvement targeting — the gap between actual and ideal cycle time represents concrete opportunity

Important Distinction

Cycle Time is not the same as Lead Time. Cycle time measures production time per unit. Lead time measures the total time from order to delivery, including waiting, queuing, and transport — which is always much longer.

Common Pitfalls

  • Including downtime in the calculation — cycle time should be based on running time only
  • Not accounting for product mix — different products have different ideal cycle times
  • Confusing cycle time with lead time — these measure fundamentally different things

Best Practices

  • Exclude downtime from the calculation — use running time only
  • Track by product type for accurate comparison
  • Monitor variation as well as the average — a consistent 32-second cycle time is better than an average of 30 seconds that swings between 20 and 45
  • Compare actual to ideal cycle time to identify speed losses
  • Production Rate — the inverse (units per time rather than time per unit)
  • Takt Time — cycle time should be less than takt time to meet demand
  • OEE — cycle time feeds into the Performance component
  • Throughput — cycle time at the bottleneck determines system throughput