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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 | Source: | 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. | Keywords: | batch processing; process mining; event log knowledge | Document URI: | http://hdl.handle.net/1942/20099 | Link to publication/dataset: | http://ceur-ws.org/Vol-1527/paper11.pdf | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2017 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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paper11.pdf | 919.11 kB | Adobe PDF | View/Open |
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