Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
RoHOI: Robustness Benchmark for Human-Object Interaction Detection
Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
Refine Any Object in Any Scene
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
토론
이 논문과 연결된 포럼 글이 아직 없습니다.