Name
Abstract | ||
|---|---|---|
Metamodels are abstractions of the simulation model that expose the system's input-output relationship through simple mathematical expression (Santos and Santos 2007). It provides an analytical way to study the behavior of a complex system. Multi-echelon supply chain are one of the complex systems. It is hard if not impossible to draw close-form analytical solutions due to the complexities of inventory system and the underlying uncertainty. In this paper, we will apply the methodology of simulation metamodel to a multi-echelon supply chain problem and make statistically analysis of the parameters. The model is validated using training experiment conditions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WSC.2008.4736386 | Winter Simulation Conference |
Keywords | Field | DocType |
training experiment condition,simulation model,complex system,input-output relationship,simulation metamodel,multi-echelon supply chain,inventory system,multi-echelon supply chain problem,close-form analytical solution,simple mathematical expression,multi-echelon supply chain simulation,mathematical expression,supply chains,supply chain,simulation,statistical analysis,input output,analytic solution,mean squared error | Complex system,Systems engineering,Expression (mathematics),Computer science,Simulation,Supply chain simulation,Mean squared error,Supply chain,Inventory system,Metamodeling | Conference |
ISBN | Citations | PageRank |
978-1-4244-2708-6 | 1 | 0.36 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laigang Song | 1 | 2 | 0.72 |
| Xueping Li | 2 | 26 | 5.39 |
| Alberto Garcia-Diaz | 3 | 8 | 2.95 |