Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study
It addresses the problem of analyzing entangled real-world processes for businesses, but it is incremental as it applies an emerging technique to a specific case study.
This paper tackled the challenge of analyzing complex business processes with multiple interacting objects by applying object-centric process mining to Borusan Cat's after-sales service process, using an event log of 65,000 events to demonstrate richer insights and operational improvements.
Process mining, a technique turning event data into business process insights, has traditionally operated on the assumption that each event corresponds to a singular case or object. However, many real-world processes are intertwined with multiple objects, making them object-centric. This paper focuses on the emerging domain of object-centric process mining, highlighting its potential yet underexplored benefits in actual operational scenarios. Through an in-depth case study of Borusan Cat's after-sales service process, this study emphasizes the capability of object-centric process mining to capture entangled business process details. Utilizing an event log of approximately 65,000 events, our analysis underscores the importance of embracing this paradigm for richer business insights and enhanced operational improvements.