Structural equation modeling for simulation metamodeling

Publikationstyp
Journal Article
Date Issued
2016-02-18
Sprache
English
Author(s)
Mertens, Kai Gustav  
Lorscheid, Iris  
Meyer, Matthias  
Institut
Controlling und Simulation W-1  
TORE-URI
http://hdl.handle.net/11420/6307
Volume
2016-February
Start Page
701
End Page
712
Article Number
7408208
Citation
Proceedings - Winter Simulation Conference (2016-February): 7408208, 701-712 (2016)
Contribution to Conference
Winter Simulation Conference, WSC 2015  
Publisher DOI
10.1109/WSC.2015.7408208
Scopus ID
2-s2.0-84962852771
Publisher
IEEE
ISBN
978-1-4673-9743-8
978-1-4673-9973-9
978-1-4673-9741-4
978-1-4673-9742-1
The analysis of the behavior of simulation models and the subsequent communication of their results are critical but often neglected activities in simulation modeling. To overcome this issue, this paper proposes an integrated metamodeling approach based on structural equation modeling using the partial least squares algorithm. The suggested method integrates both a priori information from the conceptual model and the simulation data output. Based on this, we estimate and evaluate the core relationships and their predictive capabilities. The resulting structural equation metamodel exposes structures in the behavior of simulation models and allows for their better communication. The link to theory via the conceptual model considerably increases understanding compared with other metamodeling approaches.
DDC Class
330: Wirtschaft