Quantitative effects of advanced resource constructs in business process simulation

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

Simulation is often used to provide quantitative predictions on the performance of business processes. However, the current available business process simulation engines only support basic resource constructs and even these are sometimes lacking. This leads to simulated performance metrics that can deviate significantly from the real process performance. This paper provides an overview of the quantitative effects of incorporating these advanced resource constructs in business process simulation. Experiments are conducted to assess whether there are significant differences between the effects of using basic resource constructs and using their advanced counterparts. The main conclusions are: That the allocation strategy deployed by the resources is of significant influence on the performance of the process; that the ability to assign resources to multiple roles has a significant influence; and that simulation replications are absolutely necessary to produce reliable simulation results. These insights can be used by researchers and practitioners to understand the validity of the results of their simulation studies and as a direction for future research.

TaalEngels
Titel2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's115-122
Aantal pagina's8
ISBN van elektronische versie9781538641392
DOI's
StatusGepubliceerd - 14 nov 2018
Evenement22nd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2018 - Stockholm, Zweden
Duur: 16 okt 201819 okt 2018

Congres

Congres22nd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2018
Verkorte titelIEEE EDOC 2018
LandZweden
StadStockholm
Periode16/10/1819/10/18

Vingerafdruk

Industry
Engines
Resources
Business process simulation
Experiments
Simulation
Business process
Simulation study
Process performance
Prediction
Replication
Performance metrics
Experiment
Multiple roles

Trefwoorden

    Citeer dit

    Peters, S. P. F., Dijkman, R. M., & Grefen, P. W. P. J. (2018). Quantitative effects of advanced resource constructs in business process simulation. In 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018 (blz. 115-122). [8536155] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/EDOC.2018.00024
    Peters, S.P.F. ; Dijkman, R.M. ; Grefen, P.W.P.J./ Quantitative effects of advanced resource constructs in business process simulation. 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2018. blz. 115-122
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    Peters, SPF, Dijkman, RM & Grefen, PWPJ 2018, Quantitative effects of advanced resource constructs in business process simulation. in 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018., 8536155, Institute of Electrical and Electronics Engineers, Piscataway, blz. 115-122, Stockholm, Zweden, 16/10/18. DOI: 10.1109/EDOC.2018.00024

    Quantitative effects of advanced resource constructs in business process simulation. / Peters, S.P.F.; Dijkman, R.M.; Grefen, P.W.P.J.

    2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2018. blz. 115-122 8536155.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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    Peters SPF, Dijkman RM, Grefen PWPJ. Quantitative effects of advanced resource constructs in business process simulation. In 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2018. blz. 115-122. 8536155. Beschikbaar vanaf, DOI: 10.1109/EDOC.2018.00024