Advanced queueing models for quantitative business process analysis

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

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.

TaalEngels
TitelProceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018
RedacteurenTomas Bures, Lefteris Angelis
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's260-267
Aantal pagina's8
ISBN van elektronische versie9781538673829
ISBN van geprinte versie978-1-5386-7383-6
DOI's
StatusGepubliceerd - 18 okt 2018
Evenement44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018) - Prague, Tsjechië
Duur: 29 aug 201831 aug 2018
Congresnummer: 44

Congres

Congres44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018)
Verkorte titelSEAA 2018
LandTsjechië
StadPrague
Periode29/08/1831/08/18

Vingerafdruk

Queueing networks
Electric network analysis
Chemical analysis
Industry
Process design
Costs

Trefwoorden

    Citeer dit

    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 (editors), Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018 (blz. 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. redacteur / Tomas Bures ; Lefteris Angelis. Piscataway : Institute of Electrical and Electronics Engineers, 2018. blz. 260-267
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    title = "Advanced queueing models for quantitative business process analysis",
    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.",
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    Dijkman, RM, Adan, IJBF & Peters, SPF 2018, Advanced queueing models for quantitative business process analysis. in T Bures & L Angelis (redactie), Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018., 8498217, Institute of Electrical and Electronics Engineers, Piscataway, blz. 260-267, Prague, Tsjechië, 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. redactie / Tomas Bures; Lefteris Angelis. Piscataway : Institute of Electrical and Electronics Engineers, 2018. blz. 260-267 8498217.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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