Lean production planner

Takt Time & Line Balancing Calculator

Inputs

min
units

Task Times

Results

Takt time 0.00 min/unit
Work content 0.00 min
Min stations 0 theoretical
Actual stations 0 greedy balance
Line efficiency 0.0% work / station capacity
Balance loss 0.0% unused capacity

Station Assignment

Bottleneck 0.00 min
Station Tasks Load Idle Utilization Status

Self-Tests

Not run

About the Takt Time & Line Balancing Calculator

Synchronizing factory production speed with customer demand is essential for lean manufacturing. Using a Takt time calculator allows industrial engineers to determine the exact pace at which products must be finished to avoid overproduction or stockouts. By balancing workstation times against this target rhythm, facilities can eliminate bottlenecks, optimize labor allocation, and maximize overall line efficiency.

How it works

  1. Enter your total available production time per shift, minus planned breaks.
  2. Input the customer demand or required units per shift.
  3. List the measured cycle times for each individual workstation on the assembly line.
  4. Review the calculated target pace, identified bottlenecks, and the theoretical minimum number of operators required.

Frequently asked questions

How is takt time different from cycle time?

Takt time is the target pace determined by customer demand, whereas cycle time is the actual time it takes your equipment or operators to complete one unit.

What happens if a workstation's cycle time exceeds the target pace?

If a station takes longer than the target pace, it becomes a bottleneck, causing upstream inventory buildup and downstream starvation, requiring process improvements or added resources.

How is line efficiency calculated?

Line efficiency is determined by dividing the total manual working time of all stations by the product of the longest station cycle time and the number of stations.

Should I plan my cycle time to match the target pace exactly?

Lean practitioners usually aim for a planned cycle time that is 5% to 10% faster than the target to account for normal process variation and minor disruptions.

References