Business process comparison: a methodology and case study

A. Syamsiyah; A.J. Bolt Irondo; L. Cheng; B.F.A. Hompes; R.P. Jagadeesh Chandra Bose; B.F. van Dongen; W.M.P. van der Aalst

doi:10.1007/978-3-319-59336-4_18

Business process comparison: a methodology and case study

A. Syamsiyah, A.J. Bolt Irondo, L. Cheng, B.F.A. Hompes, R.P. Jagadeesh Chandra Bose, B.F. van Dongen, W.M.P. van der Aalst

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

13 Citations (Scopus)

3 Downloads (Pure)

Abstract

Business processes often exhibit a high degree of variability. Process variants may manifest due to the differences in the nature of clients, heterogeneity in the type of cases, etc. Through the use of process mining techniques, one can benefit from historical event data to extract non-trivial knowledge for improving business process performance. Although some research has been performed on supporting process comparison within the process mining context, applying process comparison in practice is far from trivial. Considering all comparable attributes, for example, leads to an exponential number of possible comparisons. In this paper we introduce a novel methodology for applying process comparison in practice. We successfully applied the methodology in a case study within Xerox Services, where a forms handling process was analyzed and actionable insights were obtained by comparing different process variants using event data.

Original language	English
Title of host publication	Business Information Systems
Subtitle of host publication	20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings
Editors	W. Abramowicz
Place of Publication	Dordrecht
Publisher	Springer
Pages	253-267
Number of pages	15
ISBN (Electronic)	978-3-319-59336-4
ISBN (Print)	978-3-319-59335-7
DOIs	https://doi.org/10.1007/978-3-319-59336-4_18
Publication status	Published - 2017
Event	20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland - Poznan, Poland Duration: 28 Jun 2017 → 30 Jun 2017 http://bis.ue.poznan.pl/bis2017/ http://bis.kie.ue.poznan.pl/bis2017/

Publication series

Name	Lecture Notes in Business Information Processing
Volume	288
ISSN (Print)	1865-1348

Conference

Conference	20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland
Abbreviated title	BIS 2017
Country/Territory	Poland
City	Poznan
Period	28/06/17 → 30/06/17
Internet address	http://bis.ue.poznan.pl/bis2017/ http://bis.kie.ue.poznan.pl/bis2017/

Keywords

Business analytics
Process comparison
Process mining

Access to Document

10.1007/978-3-319-59336-4_18

Cite this

Syamsiyah, A., Bolt Irondo, A. J., Cheng, L., Hompes, B. F. A., Jagadeesh Chandra Bose, R. P., van Dongen, B. F., & van der Aalst, W. M. P. (2017). Business process comparison: a methodology and case study. In W. Abramowicz (Ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings (pp. 253-267). (Lecture Notes in Business Information Processing; Vol. 288). Springer. https://doi.org/10.1007/978-3-319-59336-4_18

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Syamsiyah, A, Bolt Irondo, AJ, Cheng, L, Hompes, BFA, Jagadeesh Chandra Bose, RP, van Dongen, BF & van der Aalst, WMP 2017, Business process comparison: a methodology and case study. in W Abramowicz (ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. Lecture Notes in Business Information Processing, vol. 288, Springer, Dordrecht, pp. 253-267, 20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland, Poznan, Poland, 28/06/17. https://doi.org/10.1007/978-3-319-59336-4_18

Business process comparison: a methodology and case study. / Syamsiyah, A.; Bolt Irondo, A.J.; Cheng, L. et al.
Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. ed. / W. Abramowicz. Dordrecht: Springer, 2017. p. 253-267 (Lecture Notes in Business Information Processing; Vol. 288).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Syamsiyah, A.

AU - Bolt Irondo, A.J.

AU - Cheng, L.

AU - Hompes, B.F.A.

AU - Jagadeesh Chandra Bose, R.P.

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AU - van der Aalst, W.M.P.

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AB - Business processes often exhibit a high degree of variability. Process variants may manifest due to the differences in the nature of clients, heterogeneity in the type of cases, etc. Through the use of process mining techniques, one can benefit from historical event data to extract non-trivial knowledge for improving business process performance. Although some research has been performed on supporting process comparison within the process mining context, applying process comparison in practice is far from trivial. Considering all comparable attributes, for example, leads to an exponential number of possible comparisons. In this paper we introduce a novel methodology for applying process comparison in practice. We successfully applied the methodology in a case study within Xerox Services, where a forms handling process was analyzed and actionable insights were obtained by comparing different process variants using event data.

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Syamsiyah A, Bolt Irondo AJ, Cheng L, Hompes BFA, Jagadeesh Chandra Bose RP, van Dongen BF et al. Business process comparison: a methodology and case study. In Abramowicz W, editor, Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. Dordrecht: Springer. 2017. p. 253-267. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-59336-4_18

Business process comparison: a methodology and case study

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Keywords

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