Quotation Waibel, Philipp, Novak, Christian, Bala, Saimir, Cerqueira Revoredo, Kate, Mendling, Jan. 2020. Analysis of Business Process Batching Using Causal Event Models. In Analysis of Business Process Batching Using Causal Event Models, Hrsg. Sander J. J. Leemans and Henrik Leopold, 17-29. Padua, Italy: None.


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Abstract

Process mining supports business process management with operational insights extracted from event logs. A key challenge for process mining is that operational processes in production and logistics often include batching and unbatching, e.g., to delivery several packages using one truck tour. Such n:m relations blur the notion of a process instance and make the causality between events difficult to trace. In this paper, we address this research problem by introducing causal event models that capture batching behavior accurately. To this end, we construct conflict-free prime event structures for event instances of the event log, and devise various analysis techniques on top of them. We implemented the techniques in a tool and run in real data of a manufacturing company with various 1:n and n:1 relations in their production process showing the potential of our approach.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Analysis of Business Process Batching Using Causal Event Models
Title of whole publication Analysis of Business Process Batching Using Causal Event Models
Editor Sander J. J. Leemans and Henrik Leopold
Page from 17
Page to 29
Location Padua, Italy
Year 2020
URL https://link.springer.com/chapter/10.1007/978-3-030-72693-5_2
Open Access N

Associations

People
Waibel, Philipp (Details)
Bala, Saimir (Details)
Cerqueira Revoredo, Kate (Details)
Mendling, Jan (Details)
External
Novak, Christian (WU Wien, Austria)
Organization
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1140 Software engineering (Details)
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