Advanced simulation of resource constructs in business process models

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

Abstract

Simulation is often used as a tool to assess the performance of business processes. However, current business process simulation engines do not support advanced resource constructs, such as work allocation strategies and case attributes. Using only basic resource constructs leads to performance metrics that deviate significantly from the real process performance. Therefore, a clear need arises for simulation engines that incorporates advanced resource constructs. Addressing this need, we present the resource patterns that should be supported by simulation engines, a conceptual model to support them, and a prototype implementation of this conceptual model. The model and engine are evaluated in a simulation experiment that highlights utilization rates under different conditions. This experiment shows that the advanced resource constructs significantly outperform the basic resource constructs. From this we can also conclude that existing simulation engines must be extended with advanced resource constructs to properly simulate processes from practice that use these constructs.

LanguageEnglish
Title of host publicationBusiness Process Management Forum - BPM Forum 2018, Proceedings
EditorsMarco Montali, Mathias Weske, Jan vom Brocke, Ingo Weber
Place of PublicationCham
PublisherSpringer
Pages159-175
Number of pages17
ISBN (Print)978-3-319-98650-0
DOIs
StatePublished - 12 Aug 2018
Event16th International Conference on Business Process Management, BPM 2018 - Sydney, Australia
Duration: 9 Sep 201814 Sep 2018

Publication series

NameLecture Notes in Business Information Processing
Volume329
ISSN (Print)1865-1348

Conference

Conference16th International Conference on Business Process Management, BPM 2018
CountryAustralia
CitySydney
Period9/09/1814/09/18

Fingerprint

Business Model
Business Process
Process Model
Engines
Resources
Engine
Industry
Simulation
Conceptual Model
Process Simulation
Experiments
Performance Metrics
Business process model
Simulation Experiment
Attribute
Prototype
Experiment

Cite this

Peters, S. P. F., Dijkman, R. M., & Grefen, P. W. P. J. (2018). Advanced simulation of resource constructs in business process models. In M. Montali, M. Weske, J. vom Brocke, & I. Weber (Eds.), Business Process Management Forum - BPM Forum 2018, Proceedings (pp. 159-175). (Lecture Notes in Business Information Processing; Vol. 329). Cham: Springer. DOI: 10.1007/978-3-319-98651-7_10
Peters, Sander P.F. ; Dijkman, Remco M. ; Grefen, Paul W.P.J./ Advanced simulation of resource constructs in business process models. Business Process Management Forum - BPM Forum 2018, Proceedings. editor / Marco Montali ; Mathias Weske ; Jan vom Brocke ; Ingo Weber. Cham : Springer, 2018. pp. 159-175 (Lecture Notes in Business Information Processing).
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Peters, SPF, Dijkman, RM & Grefen, PWPJ 2018, Advanced simulation of resource constructs in business process models. in M Montali, M Weske, J vom Brocke & I Weber (eds), Business Process Management Forum - BPM Forum 2018, Proceedings. Lecture Notes in Business Information Processing, vol. 329, Springer, Cham, pp. 159-175, 16th International Conference on Business Process Management, BPM 2018, Sydney, Australia, 9/09/18. DOI: 10.1007/978-3-319-98651-7_10

Advanced simulation of resource constructs in business process models. / Peters, Sander P.F.; Dijkman, Remco M.; Grefen, Paul W.P.J.

Business Process Management Forum - BPM Forum 2018, Proceedings. ed. / Marco Montali; Mathias Weske; Jan vom Brocke; Ingo Weber. Cham : Springer, 2018. p. 159-175 (Lecture Notes in Business Information Processing; Vol. 329).

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

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Peters SPF, Dijkman RM, Grefen PWPJ. Advanced simulation of resource constructs in business process models. In Montali M, Weske M, vom Brocke J, Weber I, editors, Business Process Management Forum - BPM Forum 2018, Proceedings. Cham: Springer. 2018. p. 159-175. (Lecture Notes in Business Information Processing). Available from, DOI: 10.1007/978-3-319-98651-7_10