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

Johannes Karder; Andreas Scheibenpflug; Andreas Beham; Stefan Wagner; Michael Affenzeller

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

Johannes Karder, Andreas Scheibenpflug, Andreas Beham, Stefan Wagner, Michael Affenzeller

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

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.

Originalsprache	Englisch
Titel	27th European Modeling and Simulation Symposium, EMSS 2015
Redakteure/-innen	Michael Affenzeller, Francesco Longo, Lin Zhang, Agostino G. Bruzzone, Yuri Merkuryev, Emilio Jimenez
Herausgeber (Verlag)	DIPTEM University of Genova
Seiten	289-294
Seitenumfang	6
ISBN (elektronisch)	9788897999485
Publikationsstatus	Veröffentlicht - 2015
Veranstaltung	The 27th European Modeling & Simulation Symposium EMSS 2015 - Bergeggi, Italien Dauer: 21 Sep. 2015 → 23 Sep. 2015 http://www.msc-les.org/conf/emss2015/

Publikationsreihe

Name	27th European Modeling and Simulation Symposium, EMSS 2015

Konferenz

Konferenz	The 27th European Modeling & Simulation Symposium EMSS 2015
Land/Gebiet	Italien
Ort	Bergeggi
Zeitraum	21.09.2015 → 23.09.2015
Internetadresse	http://www.msc-les.org/conf/emss2015/

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Karder, J., Scheibenpflug, A., Beham, A., Wagner, S., & Affenzeller, M. (2015). Simulation-based Set-up Time Optimization using Sim# and HeuristicLab. in M. Affenzeller, F. Longo, L. Zhang, A. G. Bruzzone, Y. Merkuryev, & E. Jimenez (Hrsg.), 27th European Modeling and Simulation Symposium, EMSS 2015 (S. 289-294). (27th European Modeling and Simulation Symposium, EMSS 2015). DIPTEM University of Genova.

Karder, Johannes ; Scheibenpflug, Andreas ; Beham, Andreas et al. / Simulation-based Set-up Time Optimization using Sim# and HeuristicLab. 27th European Modeling and Simulation Symposium, EMSS 2015. Hrsg. / Michael Affenzeller ; Francesco Longo ; Lin Zhang ; Agostino G. Bruzzone ; Yuri Merkuryev ; Emilio Jimenez. DIPTEM University of Genova, 2015. S. 289-294 (27th European Modeling and Simulation Symposium, EMSS 2015).

@inproceedings{48f46efe706e45b2ba53f254f6db1850,

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.",

keywords = "Heuristiclab, Set-up time optimization, Sim#, Simulation-based optimization",

author = "Johannes Karder and Andreas Scheibenpflug and Andreas Beham and Stefan Wagner and Michael Affenzeller",

year = "2015",

language = "English",

series = "27th European Modeling and Simulation Symposium, EMSS 2015",

publisher = "DIPTEM University of Genova",

pages = "289--294",

editor = "Michael Affenzeller and Francesco Longo and Lin Zhang and Bruzzone, {Agostino G.} and Yuri Merkuryev and Emilio Jimenez",

booktitle = "27th European Modeling and Simulation Symposium, EMSS 2015",

note = "The 27th European Modeling & Simulation Symposium EMSS 2015 ; Conference date: 21-09-2015 Through 23-09-2015",

url = "http://www.msc-les.org/conf/emss2015/",

}

Karder, J, Scheibenpflug, A, Beham, A, Wagner, S & Affenzeller, M 2015, Simulation-based Set-up Time Optimization using Sim# and HeuristicLab. in M Affenzeller, F Longo, L Zhang, AG Bruzzone, Y Merkuryev & E Jimenez (Hrsg.), 27th European Modeling and Simulation Symposium, EMSS 2015. 27th European Modeling and Simulation Symposium, EMSS 2015, DIPTEM University of Genova, S. 289-294, The 27th European Modeling & Simulation Symposium EMSS 2015, Bergeggi, Italien, 21.09.2015.

Simulation-based Set-up Time Optimization using Sim# and HeuristicLab. / Karder, Johannes; Scheibenpflug, Andreas; Beham, Andreas et al.
27th European Modeling and Simulation Symposium, EMSS 2015. Hrsg. / Michael Affenzeller; Francesco Longo; Lin Zhang; Agostino G. Bruzzone; Yuri Merkuryev; Emilio Jimenez. DIPTEM University of Genova, 2015. S. 289-294 (27th European Modeling and Simulation Symposium, EMSS 2015).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Simulation-based Set-up Time Optimization using Sim# and HeuristicLab

AU - Karder, Johannes

AU - Scheibenpflug, Andreas

AU - Beham, Andreas

AU - Wagner, Stefan

AU - Affenzeller, Michael

PY - 2015

Y1 - 2015

N2 - 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.

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.

KW - Heuristiclab

KW - Set-up time optimization

KW - Sim#

KW - Simulation-based optimization

UR - http://www.scopus.com/inward/record.url?scp=84949526000&partnerID=8YFLogxK

M3 - Conference contribution

T3 - 27th European Modeling and Simulation Symposium, EMSS 2015

SP - 289

EP - 294

BT - 27th European Modeling and Simulation Symposium, EMSS 2015

A2 - Affenzeller, Michael

A2 - Longo, Francesco

A2 - Zhang, Lin

A2 - Bruzzone, Agostino G.

A2 - Merkuryev, Yuri

A2 - Jimenez, Emilio

PB - DIPTEM University of Genova

T2 - The 27th European Modeling & Simulation Symposium EMSS 2015

Y2 - 21 September 2015 through 23 September 2015

ER -

Karder J, Scheibenpflug A, Beham A, Wagner S , Affenzeller M. Simulation-based Set-up Time Optimization using Sim# and HeuristicLab. in Affenzeller M, Longo F, Zhang L, Bruzzone AG, Merkuryev Y, Jimenez E, Hrsg., 27th European Modeling and Simulation Symposium, EMSS 2015. DIPTEM University of Genova. 2015. S. 289-294. (27th European Modeling and Simulation Symposium, EMSS 2015).

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

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