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《Systems Engineering》 2004-07
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An Application of Simulation-based Optimization Technique in Modeling of a Kind of CAS Uncertainty

DAI Hui,SUN Lin-yan,ZHANG Tao (School of Management,Xi'an Jiaotong University,Xi'an 710049,China)  
Reduction or even elimination of supply chain uncertainties is one of important strategies to improve the (performance) of the chain. In order to understand supply chain behavior and improve supply chain performance, one (simulation-based) optimization technique is developed in this paper. Under such uncertain environment, the simulation-based optimization technique is used to find optimal configuration of supply chain structure. In the experiment based on (FuzzySCSim) simulation platform(one special simulation tools developed by Arena simulation package), a hybrid approach (combing) scatter search and taboo search is used and a new performance measure(GMTICSL) is proposed. The result shows the method could better describe and analyze supply chain uncertainty and support relative decisions.
【Fund】: 国家自然科学基金重大资助项目(59990470-04);; 国家自然科学基金海外杰出青年基金B类资助项目(70028102)
【CateGory Index】: F224
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