Abstract
This paper describes a multivariate simulation metamodeling approach for supporting supply chain management. We use discrete event simulation to examine the links between controllable factors and the supply chain performance. Based on the results of the simulation, regression metamodels are developed. The resource allocation decision on the controllable factors is made by a linear programming model. The paper also presents three modeling frameworks in which the metamodeling approach can be used. They are the hierarchical model, the SCOR model and the integrated supply chain model. The simulation metamodeling approach and the strategic modeling frameworks demonstrated in this paper will assist supply chain managers in resource allocation decisions as they initiate and plan supply chain improvement projects.
JANICE K. WINCH, CHU-HUA KUEI, CHRISTIAN N. MADU. (2013) Constructing Multivariate Simulation Metamodels for Supporting Supply Chain Management, International Review of Management and Business Research, Volume 2, Isuue 3.
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