pm4py.statistics.traces.cycle_time.util package

Submodules

pm4py.statistics.traces.cycle_time.util.compute module

pm4py.statistics.traces.cycle_time.util.compute.cycle_time(events: List[Tuple[float, float]], num_instances: int) → float[source]

Computes the cycle time given a list of events (having a start and a complete timestamp) and the number of instances of the log

The definition that has been followed is the one proposed in: https://www.presentationeze.com/presentations/lean-manufacturing-just-in-time/lean-manufacturing-just-in-time-full-details/process-cycle-time-analysis/calculate-cycle-time/#:~:text=Cycle%20time%20%3D%20Average%20time%20between,is%2024%20minutes%20on%20average.

So: Cycle time = Average time between completion of units.

Example taken from the website: Consider a manufacturing facility, which is producing 100 units of product per 40 hour week. The average throughput rate is 1 unit per 0.4 hours, which is one unit every 24 minutes. Therefore the cycle time is 24 minutes on average.

Parameters
  • events – List of events (each event is a tuple having the start and the complete timestamp)

  • num_instances – Number of instances of the log

Returns

Cycle time

Return type

cycle_time

Module contents