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 | |
| 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
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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