Metamodel analysis on multi-echelon supply chain simulation experiments. (7th July 2010)

• Record Type: Journal Article
• Authors: Song, Laigang; Li, Xueping; Garcia-Diaz, Alberto
• Is Part Of: International journal of industrial and systems engineering. Volume 6:Number 1(2010)
• Page Start: 24
• Page End: 44
• Publication Date: 2010-07-07
• Subjects: 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; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

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.