Int. J. of Industrial and Systems Engineering   »   2010 Vol.6, No.1

 

 

Title: Metamodel analysis on multi-echelon supply chain simulation experiments

 

Author: Laigang Song, Xueping Li, Alberto Garcia-Diaz

 

Addresses:
Department of Industrial and Information Engineering, 416 East Stadium Hall, Knoxville, TN 37919, USA.
Department of Industrial and Information Engineering, 416 East Stadium Hall, Knoxville, TN 37919, USA.
Department of Industrial and Information Engineering, 416 East Stadium Hall, Knoxville, TN 37919, USA

 

Abstract: Metamodels are abstractions of a simulation model to reveal the system's input-output relationship through simple mathematical expression. It provides an analytical way to study the behaviour of complex systems. A multi-echelon supply chain is one of such systems, which is usually extremely difficult, if not impossible, to obtain closed-form analytical solutions due to the intrinsic complexity of the inventory system and its underlying uncertainty. In this paper, we apply the methodology of simulation metamodel to a multi-echelon supply chain problem and conduct statistical analysis of the parameters. The metamodel is validated using training experiment conditions.

 

Keywords: metamodels; supply chain management; inventory policies; experiment design; simulation; multi-echelon SCM; input-output relationships; abstractions; complex systems; closed-form analytical solutions; intrinsic complexity; underlying uncertainty; statistical analysis; parameters; training conditions; industrial engineering; systems engineering.

 

DOI: 10.1504/IJISE.2010.033995

 

Int. J. of Industrial and Systems Engineering, 2010 Vol.6, No.1, pp.24 - 44

 

Available online: 06 Jul 2010

 

 

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