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/leanmanufacturingjustintime/leanmanufacturingjustintimefulldetails/processcycletimeanalysis/calculatecycletime/#:~: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