可信空间上最小风险原则下的两阶段供应链模型  

Two-stage Supply Chain Model under Minimum-risk Principle in Credibility Space

作　　者：朴凤华[1] 张永[2] 孙大军[3] 

机构地区：[1]廊坊师范学院数信学院,河北廊坊065000 [2]廊坊师范学院教育学院,河北廊坊065000 [3]廊坊师范学院科研处,河北廊坊065000

出　　处：《模糊系统与数学》2014年第6期113-120,共8页Fuzzy Systems and Mathematics

基　　金：河北省教育厅青年基金资助项目(QN20131077);廊坊市科技局项目(2012011042);廊坊师范学院项目(LSZQ201203;LSZZ201306;LSZQ201305)

摘　　要：主要讨论可信空间上最小风险原则下的两阶段供应链问题,即考虑在资本投入不超过给定费用值的情况下如何将投资者的风险降到最低。视供应链中的运输费用及顾客需求量为可信空间上的模糊变量,然后建立最小风险原则下的两阶段模糊供应链模型,并设计一种基于逼近方法的粒子群算法,最后通过数值试验验证算法的有效性。In this paper, we discuss the problem of two-stage supply chain under minimum-risk principle in credibility space, that is to consider how to minimize the risk of investors while the investment is no more than a given cost. The transportation cost and the customer demand are assumed as fuzzy variables in credibility space, then a two-stage fuzzy supply chain model is proposed, and a kind of particle swarm optimization algorithm based on approximation method is designed, finally a numerical experiments is proposed to verify the effectiveness of the algorithm.

关 键 词：可信空间 最小风险原则 供应链 粒子群算法 

分 类 号：F274[经济管理—企业管理]