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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24049

Title: Retrieving batch organisation of work insights from event logs
Authors: Martin, Niels
Swennen, Marijke
Depaire, Benoît
Jans, Mieke
Caris, An
Vanhoof, Koen
Issue Date: 2017
Citation: DECISION SUPPORT SYSTEMS, 100, p. 119-128
Abstract: Resources can organise their work in batches, i.e. perform activities on multiple cases simultaneously, concurrently or intentionally defer activity execution to handle multiple cases (quasi-) sequentially. As batching behaviour influences process performance, efforts to gain insight on this matter are valuable. In this respect, this paper uses event logs, data files containing process execution information, as an information source. More specifically, this work (i) identifies and formalises three batch processing types, (ii) presents a resource-activity centered approach to identify batching behaviour in an event log and (iii) introduces batch processing metrics to acquire knowledge on batch characteristics and its influence on process execution. These contributions are integrated in the Batch Organisation of Work Identification algorithm (BOWI), which is evaluated on both artificial and real-life data.
Notes: [Martin, Niels; Depaire, Benoit] Hasselt Univ, Fac Business Econ, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. [Swennen, Marijke; Jans, Mieke; Vanhoof, Koen] Hasselt Univ, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. [Caris, An] Hasselt Univ, Operat Management & Logist, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/24049
DOI: 10.1016/j.dss.2017.02.012
ISI #: 000407658900010
ISSN: 0167-9236
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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