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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20099

Title: Batch processing: definition and event log identification
Authors: Martin, Niels
Swennen, Marijke
Depaire, Benoit
Jans, Mieke
Caris, An
Vanhoof, Koen
Issue Date: 2015
Publisher: RWTH Aachen University
Citation: Ceravolo, Paolo; Rinderle-Ma, Stefanie (Ed.). Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis, p. 137-140
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 1527
Abstract: A resource typically executes a particular activity on a series of cases. When a resource performs an activity on several cases simultaneously, (quasi-) sequentially or concurrently, this is referred to as batch processing. Given its influence on process performance, batch processing needs to be taken into account when modeling business processes for performance evaluation purposes. This paper suggests event logs as an information source to gain insight in batching behavior. It marks a first step towards a more thorough support for the retrieval of batch processing knowledge from an event log by (i) identifying different types of batch processing and (ii) briefly outlining a method to generate event log insights.
URI: http://hdl.handle.net/1942/20099
Link to publication: http://ceur-ws.org/Vol-1527/paper11.pdf
ISSN: 1613-0073
Category: C1
Type: Proceedings Paper
Validation: vabb, 2017
Appears in Collections: Research publications

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