A structural model comparison for finding the best performing models in a collection

D.M.M. Schunselaar; H.M.W. Verbeek; H.A. Reijers; W.M.P. van der Aalst

doi:10.1007/978-3-319-23063-4_12

A structural model comparison for finding the best performing models in a collection

D.M.M. Schunselaar, H.M.W. Verbeek, H.A. Reijers, W.M.P. van der Aalst

Software and Sustainability (S2)

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

An improvement or redesign of a process often starts by modifying the model supporting the process. Analysis techniques, like simulation, can be used to evaluate alternatives. However, even a small number of design choices may lead to an explosion of models that need to be explored to find the optimal models for said process. If the exploration depends on simulation, it often becomes infeasible to simulate every model. Therefore, for throughput time, we define a notion of monotonicity to reduce the number of models required to be simulated whilst the optimal models are still found.

Original language	English
Pages (from-to)	180-188
Journal	Lecture Notes in Computer Science
Volume	2015
Issue number	9253
DOIs	https://doi.org/10.1007/978-3-319-23063-4_12
Publication status	Published - 2015
Event	Business Process Management - Berlin Duration: 1 Jan 2015 → 1 Jan 2015

Bibliographical note

Proceedings title: Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015)
Publisher: Springer
Place of publication: Berlin
Editors: H.R. Motahari-Nezhad, M. Weidlich, J. Recker

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ER -

A structural model comparison for finding the best performing models in a collection

Abstract

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