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Two-echelon Supply Chain Games in the Uncertain Environment

Author: ZhouChenXi
Tutor: TangWanSheng
School: Tianjin University
Course: Management Science and Engineering
Keywords: Supply chain model Stackelberg Game Hybrid Intelligent Algorithm Chance constrained programming Fuzzy variables Random fuzzy variables
CLC: F274
Type: Master's thesis
Year: 2007
Downloads: 213
Quote: 0
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Abstract


This article has an upstream manufacturers and downstream retailers supply chain research background , consider the problem of a game of two supply chain manufacturers and retailers in an uncertain environment . Fuzzy environment , market demand and manufacturing costs of the manufacturer's customer is considered as fuzzy variables , fuzzy environment , the expected value of the two-stage supply chain game model , chance constrained programming model and the corresponding alpha optimistic value , α pessimistic value model in the analytical solution of the optimal pricing and optimal profits of each model, suppliers and retailers . random fuzzy environment , the market demand of the customer as random fuzzy variables , the manufacturers manufacturing costs as fuzzy variables , thus establishing a random fuzzy expected value model of the two-stage supply chain game environment while taking advantage of a set of random fuzzy simulation , particle swarm algorithms, neural networks as one of the hybrid intelligent algorithm to solve the established model this paper not certain environment given application examples are presented to verify the rationality and effectiveness of the article proposed model . uncertain environment , collaborative supply chain based on centralized than decentralized decision - based supply chain a higher level of performance , the dominant vendors will get higher returns .

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