Challenges and Objectives
In a recent project with an international airport, the CPI performed an in-depth analysis of the turnaround process (i.e., process discovery, conformance checking, and performance analysis). The goal was to generate valuable insights into the as-is process including potential avenues for performance improvement as well as to establish a blueprint for future process analyses.
The CPI Solution
Using CPI’s inhouse tools PMtk and PM4Py, the team worked closely with the airport’s IT and business experts. An essential aspect of this collaboration was to create an understanding of the capabilities of Process Mining and to illustrate its integration with data science in an abstract way.
Afterwards, the blueprint focused on the causes of poor performance and on examination of deviations in the process schedule.
Insights and Benefits
During the analysis, the CPI experts identified several areas for Performance improvement and found that they depended significantly on a small number of stakeholders involved in the process and a small number of places of process execution.
While the Quick Scan provided an easy entry point for future analyzes and improvement of the turnaround process, it also outlined the path for scaling and institutionalizing Process Mining in a general manner.