Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
Metamodels for simulation input-output relations
WSC '92 Proceedings of the 24th conference on Winter simulation
Regression metamodeling in simulation using Bayesian methods
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Building credible input models
WSC '04 Proceedings of the 36th conference on Winter simulation
Regression models and experimental designs: a tutorial for simulation analysts
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Simulation metamodels for modeling output distribution parameters
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Proceedings of the Winter Simulation Conference
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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.