Metamodel analysis on multi-echelon supply chain simulation experiments

Laigang Song, Xueping Li and Alberto Garcia-Diaz

International Journal of Industrial and Systems Engineering, 2010, vol. 6, issue 1, 24-44

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. (search for similar items in EconPapers)
Date: 2010
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