Discovering causal factors explaining business process performance variation

B.F.A. Hompes, Abderrahmane Maaradji, M. La Rosa, M. Dumas, J.C.A.M. Buijs, W.M.P. van der Aalst

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)
90 Downloads (Pure)

Samenvatting

Business process performance may be affected by a range of factors, such as the volume and characteristics of ongoing cases or the performance and availability of individual resources. Event logs collected by modern information systems provide a wealth of data about the execution of business processes. However, extracting root causes for performance issues from these event logs is a major challenge. Processes may change continuously due to internal and external factors. Moreover, there may be many resources and case attributes influencing performance. This paper introduces a novel approach based on time series analysis to detect cause-effect relations between a range of business process characteristics and process performance indicators. The scalability and practical relevance of the approach has been validated by a case study involving a real-life insurance claims handling process.
Originele taal-2Engels
TitelAdvanced Information Systems Engineering - 29th International Conference, CAiSE 2017
RedacteurenEric Dubois, Klaus Pohl
Plaats van productieEssen
UitgeverijSpringer
Pagina's177-191
Aantal pagina's15
Volume10253
ISBN van geprinte versie9783319595351
DOI's
StatusGepubliceerd - 12 jun 2017
Evenement29th International Conference on Advanced Information Systems Engineering (CAiSE 2017) - Essen, Duitsland
Duur: 12 jun 201716 jun 2017
Congresnummer: 29
http://caise2017.paluno.de/welcome/

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10253 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres29th International Conference on Advanced Information Systems Engineering (CAiSE 2017)
Verkorte titelCAiSE'17
LandDuitsland
StadEssen
Periode12/06/1716/06/17
Internet adres

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Citeer dit

Hompes, B. F. A., Maaradji, A., La Rosa, M., Dumas, M., Buijs, J. C. A. M., & van der Aalst, W. M. P. (2017). Discovering causal factors explaining business process performance variation. In E. Dubois, & K. Pohl (editors), Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017 (Vol. 10253, blz. 177-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10253 LNCS). Essen: Springer. https://doi.org/10.1007/978-3-319-59536-8_12