Simulation optimization through direct search for multi-objective manufacturing systems

1996 ◽  
Vol 7 (6) ◽  
pp. 554-565 ◽  
Author(s):  
MU-CHEN CHEN ◽  
DU-MING TSAI
Author(s):  
Raed Kontar ◽  
Shiyu Zhou ◽  
John Horst

This paper explores the potential of Gaussian process based Metamodels for simulation optimization with multivariate outputs. Specifically we focus on Multivariate Gaussian process models established through separable and non-separable covariance structures. We discuss the advantages and drawbacks of each approach and their potential applicability in manufacturing systems. The advantageous features of the Multivariate Gaussian process models are then demonstrated in a case study for the optimization of manufacturing performance metrics.


2020 ◽  
Vol 57 ◽  
pp. 469-483
Author(s):  
Gürsel Süer ◽  
Najat Almasarwah ◽  
Omar Alhawari ◽  
Casey Davis

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