Simulation-based Set-up Time Optimization using Sim# and HeuristicLab

Johannes Karder; Andreas Scheibenpflug; Andreas Beham; Stefan Wagner

Simulation-based Set-up Time Optimization using Sim# and HeuristicLab

Johannes Karder, Andreas Scheibenpflug, Andreas Beham, Stefan Wagner

Institute of Formal Models and Verification

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Model building is a fundamental task in simulation-based optimization. In this paper we demonstrate the application of Sim# in combination with HeuristicLab to optimize set-up times of arbitrary machinery. On top of Sim#, custom simulation extensions have been implemented and are used to create a simulation model of real world machinery. These extensions enable the design of simulation components that can be reused within different simulation models. This allows to easily create multiple model implementations that reflect different designs of a machine by using a combination of already existing and adapted components. The resulting model is used as evaluation function for the optimization inside HeuristicLab.

Original language	English
Title of host publication	Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015
Number of pages	8
Publication status	Published - 2015

Fields of science

102 Computer Sciences
603109 Logic
202006 Computer hardware

JKU Focus areas

Computation in Informatics and Mathematics

Cite this

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title = "Simulation-based Set-up Time Optimization using Sim\# and HeuristicLab",

abstract = "Model building is a fundamental task in simulation-based optimization. In this paper we demonstrate the application of Sim\# in combination with HeuristicLab to optimize set-up times of arbitrary machinery. On top of Sim\#, custom simulation extensions have been implemented and are used to create a simulation model of real world machinery. These extensions enable the design of simulation components that can be reused within different simulation models. This allows to easily create multiple model implementations that reflect different designs of a machine by using a combination of already existing and adapted components. The resulting model is used as evaluation function for the optimization inside HeuristicLab.",

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AB - Model building is a fundamental task in simulation-based optimization. In this paper we demonstrate the application of Sim# in combination with HeuristicLab to optimize set-up times of arbitrary machinery. On top of Sim#, custom simulation extensions have been implemented and are used to create a simulation model of real world machinery. These extensions enable the design of simulation components that can be reused within different simulation models. This allows to easily create multiple model implementations that reflect different designs of a machine by using a combination of already existing and adapted components. The resulting model is used as evaluation function for the optimization inside HeuristicLab.

M3 - Conference proceedings

BT - Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015

ER -