TY - GEN
T1 - A structural model comparison for finding the best performing models in a collection
AU - Schunselaar, D.M.M.
AU - Verbeek, H.M.W.
AU - Reijers, H.A.
AU - Aalst, van der, W.M.P.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-319-23063-4_12
DO - 10.1007/978-3-319-23063-4_12
M3 - Conference contribution
SN - 978-3-319-23062-7
T3 - Lecture Notes in Computer Science
SP - 180
EP - 188
BT - Business Process Management (13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015)
A2 - Motahari-Nezhad, H.R.
A2 - Recker, J.
A2 - Weidlich, M.
PB - Springer
CY - Berlin
ER -