Abstract
Bottlenecks arise in many processes, often negatively impacting performance. Process mining can facilitate bottleneck analysis, but research has primarily focused on bottleneck detection and resolution, with limited attention given to the prediction of bottlenecks and recommendations for improving process performance. As a result, operational support for bottleneck resolution is often partially or not realized. The aim of this paper is to propose a method for Bottleneck Detection, Prediction, and Recommendation (BDPR) using process mining techniques to achieve operational support. A design science research methodology is adopted to design, develop, and demonstrate the BDPR method. A systematic literature review and a developed classification model provide theoretical support for the BDPR method and offer scholarly in the field of process mining a starting point for research. The BDPR method extends the utility of the classification model and aims to provide guidance to scholars and practitioners for assessing, selecting, evaluating, and implementing process mining techniques to realize operational support. A case study at a logistics service provider demonstrates the use of the proposed BDPR method.
Original language | English |
---|---|
Title of host publication | E-Business and Telecommunications |
Subtitle of host publication | 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers |
Editors | Pierangela Samarati, Sabrina De Capitani di Vimercati, Marten van Sinderen, Fons Wijnhoven |
Publisher | Springer Nature |
Chapter | 7 |
Pages | 118-136 |
Number of pages | 19 |
ISBN (Electronic) | 978-3-031-36840-0 |
ISBN (Print) | 9783031368394 |
DOIs | |
Publication status | Published - 22 Jul 2023 |
Event | 18th International Joint Conference on e-Business and Telecommunications, ICETE 2021 - Virtual Event Duration: 6 Jul 2021 → 9 Jul 2021 Conference number: 18 |
Publication series
Name | Communications in Computer and Information Science (CCIS) |
---|---|
Publisher | Springer |
Volume | 1795 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 18th International Joint Conference on e-Business and Telecommunications, ICETE 2021 |
---|---|
Abbreviated title | ICETE 2021 |
City | Virtual Event |
Period | 6/07/21 → 9/07/21 |
Keywords
- bottlenecks
- detection
- prediction
- recommendation
- process mining
- logistics
- 2023 OA procedure