About

Miscalculating cycle time leads to missed delivery targets, excess WIP inventory, and distorted capacity planning. This calculator computes actual CT from net available production time divided by total units produced, then derives Takt Time, Throughput Rate, and all three OEE factors (Availability, Performance, Quality). Inputs follow standard definitions from the Society of Manufacturing Engineers: net available time excludes planned downtime and scheduled breaks, while total units include both conforming and non-conforming output. The tool assumes a single-product, single-station model. For multi-station lines, apply the result to each bottleneck independently.

Note: the OEE calculation requires an ideal (theoretical minimum) cycle time. If unknown, use the fastest observed time from time-study data. Results degrade in accuracy when batch sizes fall below 30 units due to setup-time amortization effects. Pro Tip: always subtract changeover time from available time when running mixed-model production.

Formulas

The primary metric. Divide net production time by total output volume:

CT = T_netN_total

where T_net = T_avail − T_down − T_breaks

Takt Time matches production pace to customer demand:

TT = T_netD

Throughput Rate is the reciprocal of cycle time:

R = 1CT

Overall Equipment Effectiveness decomposes into three factors:

OEE = A × P × Q

where:

A = T_netT_avail P = CT_ideal × N_totalT_net Q = N_total − N_defectN_total

T_avail = Total available time per shift. T_down = Planned downtime (maintenance, changeovers). T_breaks = Scheduled breaks. N_total = Total units produced. N_defect = Defective (non-conforming) units. D = Customer demand in same period. CT_ideal = Theoretical minimum cycle time. A = Availability. P = Performance. Q = Quality.

Reference Data

Industry / Process	Typical Cycle Time	World-Class OEE	Common Bottleneck
Automotive Assembly	55 - 65 sec/unit	85%	Welding / Paint Booth
Electronics (SMT)	3 - 10 sec/board	80%	Reflow Oven
Pharmaceutical Packaging	0.5 - 2 sec/unit	75%	Blister Sealing
CNC Machining (Small Parts)	30 - 180 sec/part	70%	Tool Changes
Injection Molding	15 - 60 sec/shot	82%	Cooling Phase
Food & Beverage Filling	0.2 - 1 sec/unit	78%	CIP (Clean-in-Place)
Textile Weaving	0.5 - 3 sec/pick	72%	Warp Breaks
PCB Assembly (Through-Hole)	8 - 25 sec/component	68%	Manual Insertion
Steel Rolling Mill	40 - 120 sec/slab	74%	Reheat Furnace
Semiconductor Fab (Wafer)	45 - 90 days/lot	65%	Lithography
Paper Mill (Continuous)	0.8 - 1.5 sec/m	80%	Drying Section
Battery Cell Assembly	5 - 20 sec/cell	76%	Electrolyte Filling
Glass Bottle Forming	4 - 8 sec/bottle	79%	IS Machine Timing
3D Printing (FDM per layer)	30 - 300 sec/layer	55%	Nozzle Retraction
Warehouse Pick & Pack	20 - 90 sec/order	70%	Travel Distance

Frequently Asked Questions

Cycle Time measures how long your process actually takes to produce one unit. Takt Time is the pace at which you must produce to meet customer demand. When CT exceeds TT, you cannot fulfill orders on schedule without overtime, additional shifts, or parallel stations. When CT is well below TT, you have excess capacity that may indicate over-investment.

Planned downtime (preventive maintenance, scheduled changeovers) is subtracted from total available time to yield net available time. This means Availability reflects only unplanned losses. If you include changeover time in planned downtime, your Availability will appear higher but your net available time shrinks, keeping the OEE honest. The key: be consistent in classification.

Performance above 100% means the actual cycle time is faster than the stated ideal cycle time. This usually signals that the ideal CT value is outdated or was set conservatively. Recalibrate your ideal CT using recent time-study data. True performance cannot physically exceed the theoretical machine speed.

Subtract changeover time from available time before dividing by units produced. This gives you a pure run-rate cycle time. If you include changeover time in the numerator, the resulting CT will be inflated and not comparable across different batch sizes. For SMED analysis, track changeover separately.

Below 30 units, setup-time amortization and random variation distort the average significantly. For time studies, the Maytag-Barnes method recommends a minimum of 10 observed cycles with a coefficient of variation check. If CV exceeds 10%, increase the sample. For statistical confidence (95%, ±5% error), use N = (40 × s / x̄)² where s is the standard deviation and x̄ is the mean observed time.

This tool models a single-station scenario. For a multi-station line, apply the calculation independently to each station. The station with the longest cycle time is your bottleneck and determines the effective line cycle time. Line CT equals the maximum station CT, not the sum or the average.