Advanced queueing models for quantitative business process analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Quantitative analysis of business processes facilitates the computation of quantitative properties of a business process, such as the average sojourn time and cost of cases of the process. Moreover, it allows for what-if analysis, by enabling the computation of such properties for alternative business process designs, without requiring those designs to be implemented in practice. This paper presents a novel technique for quantitative analysis that is both fast and generally applicable. The technique is developed as an extension of the state-of-the-art in queueing network analysis, by lifting some of the restrictions that are imposed by existing techniques. In particular, it enables precise quantitative analysis of business process models that contain many-to-many relations between tasks and resources (via roles). As a consequence, the technique presented in this paper allows for quantitative analysis that is more generally applicable than existing queueing network analysis techniques and only takes a fraction of the execution time required by existing simulation techniques. In doing so, it paves the way to advanced analysis techniques, such as prescriptive analytics.

LanguageEnglish
Title of host publicationProceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018
EditorsTomas Bures, Lefteris Angelis
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages260-267
Number of pages8
ISBN (Electronic)9781538673829
ISBN (Print)978-1-5386-7383-6
DOIs
StatePublished - 18 Oct 2018
Event44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018) - Prague, Czech Republic
Duration: 29 Aug 201831 Aug 2018
Conference number: 44

Conference

Conference44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018)
Abbreviated titleSEAA 2018
CountryCzech Republic
CityPrague
Period29/08/1831/08/18

Fingerprint

Queueing networks
Electric network analysis
Chemical analysis
Industry
Process design
Costs

Keywords

  • Business process
  • Quantitative analysis
  • Queueing theory

Cite this

Dijkman, R. M., Adan, I. J. B. F., & Peters, S. P. F. (2018). Advanced queueing models for quantitative business process analysis. In T. Bures, & L. Angelis (Eds.), Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018 (pp. 260-267). [8498217] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/SEAA.2018.00050
Dijkman, R.M. ; Adan, I.J.B.F. ; Peters, S.P.F./ Advanced queueing models for quantitative business process analysis. Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. editor / Tomas Bures ; Lefteris Angelis. Piscataway : Institute of Electrical and Electronics Engineers, 2018. pp. 260-267
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Dijkman, RM, Adan, IJBF & Peters, SPF 2018, Advanced queueing models for quantitative business process analysis. in T Bures & L Angelis (eds), Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018., 8498217, Institute of Electrical and Electronics Engineers, Piscataway, pp. 260-267, 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018), Prague, Czech Republic, 29/08/18. DOI: 10.1109/SEAA.2018.00050

Advanced queueing models for quantitative business process analysis. / Dijkman, R.M.; Adan, I.J.B.F.; Peters, S.P.F.

Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. ed. / Tomas Bures; Lefteris Angelis. Piscataway : Institute of Electrical and Electronics Engineers, 2018. p. 260-267 8498217.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Dijkman RM, Adan IJBF, Peters SPF. Advanced queueing models for quantitative business process analysis. In Bures T, Angelis L, editors, Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2018. p. 260-267. 8498217. Available from, DOI: 10.1109/SEAA.2018.00050