apply(df: pandas.core.frame.DataFrame, parameters: Optional[Dict[str, Any]] = None) → float¶
Computes the cycle time starting from a Pandas dataframe
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.
df – Dataframe
parameters – Parameters of the algorithm, including: - Parameters.START_TIMESTAMP_KEY => the attribute acting as start timestamp - Parameters.TIMESTAMP_KEY => the attribute acting as timestamp - Parameters.CASE_ID_KEY => the attribute acting as case identifier
- Return type