Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study

被引：0

作者：

Park, Gyunam ^{[1
]}

Aydin, Sevde ^{[2
]}

Ugur, Cuneyt ^{[3
]}

van der Aalst, Wil M. P. ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Proc & Data Sci Grp PADS, Aachen, Germany

[2] Gebze Tech Univ, Darica, Turkiye

[3] Borusan Cat R&D Digital & Technol, AI & Proc Automat Dept, Darica, Turkiye

来源：

PROCESS MINING WORKSHOPS, ICPM 2023 | 2024年 / 503卷

关键词：

Object-Centric Process Mining; Case Study; After-Sales Service Process;

D O I：

10.1007/978-3-031-56107-8_31

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：406 / 418

页数：13

共 12 条

[1] ocpa: A Python']Python library for object-centric process analysis [J].

Adams, Jan Niklas ;

Park, Gyunam ;

van der Aalst, Wil M. P. .

SOFTWARE IMPACTS, 2022, 14

[2]

Fahland Dirk, 2022, Process Mining Handbook. Lecture Notes in Business Information Processing (448), P274, DOI 10.1007/978-3-031-08848-3_9

[3] Petri net-based object-centric processes with read-only data [J].

Ghilardi, Silvio ;

Gianola, Alessandro ;

Montali, Marco ;

Rivkin, Andrey .

INFORMATION SYSTEMS, 2022, 107

[4] Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs [J].

Park, Gyunam ;

van der Aalst, Wil M. P. .

PROCESS MINING WORKSHOPS, ICPM 2022, 2023, 468 :479-492

[5] OPerA: Object-Centric Performance Analysis [J].

Park, Gyunam ;

Adams, Jan Niklas ;

van der Aalst, Wil M. P. .

CONCEPTUAL MODELING (ER 2022), 2022, 13607 :281-292

[6] Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL [J].

Rebmann, Adrian ;

Rehse, Jana-Rebecca ;

van der Aa, Han .

BUSINESS PROCESS MANAGEMENT (BPM 2022), 2022, 13420 :379-396

[7]

Reinkemeyer L., 2020, Process mining in action: principles, use cases and outlook, DOI DOI 10.1007/978-3-030-40172-6

[8]

Van Der Aalst W., 2016, PROCESS MINING DATA

[9]

van der Aalst W.M.P., 2023, White paper

[10] Object-Centric Process Mining: Unraveling the Fabric of Real Processes [J].

van der Aalst, Wil M. P. .

MATHEMATICS, 2023, 11 (12)

← 1 2 →