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基于计算实验的集群式供应链协同采购影响因素研究 被引量:5

Research on affecting factors for collaborative procurement of cluster supply chain based on computational experiments
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摘要 针对集群式供应链协同采购影响因素的动态复杂性,采用计算实验方法模拟协同采购的形成过程,定义了系统主体间的学习交互规则,定量地研究了市场需求、采购企业密度和采购企业自利性三个因素对企业协同采购的影响。实验结果表明,市场需求的增加会导致企业选择协同采购策略的意愿降低;当系统达到稳定状态时,企业协同采购策略变化的频率很低;市场需求的波动程度增强会导致企业选择协同采购策略的意愿增加,且波动程度越强,企业选择协同采购策略的时间越早。采购企业密度的增加会导致选择协同采购策略的企业数量不断增加;采购企业自利性的增加会导致越来越多的企业放弃协同采购策略。其实验结果对集群式供应链管理具有一定的借鉴意义。 Against the dynamic complexity of the collaborative procurement influence factor in cluster supply chain, this paper adopted the method of computational experiments to simulate the formation process of collaborative procurement. It analyzed the study and interaction rules of main body in the system, quantitatively studied the influence of market demand and enterprise density and enterprise self-interest factors on the collaborative procurement of enterprises. Experimental results show that the will of enterprise who wants to choose the collaborative procurement strategy will reduce gradually as the market demand increasing ; When the system reaches to steady state, the frequency of enterprises to change the collaborative procurement strategy is very low; The will of enterprise who wants to choose the collaborative procurement strategy will increase as the market demand fluctuations enhancing. And the stronger the fluctuation degree, the earlier the enterprises choose the collaborative procurement strategy. The increasing of purchasing enterprises density will result in the increasing of the number of purchasing enterprises who choose the collaborative procurement strategy. With the self-interest of purchasing enterprises increasing, more and more purchasing enterprises give up the purchasing strategy. The experimental results has a certain significance for reference in managing cluster supply chain.
出处 《计算机应用研究》 CSCD 北大核心 2015年第2期456-460,共5页 Application Research of Computers
基金 国家自然科学基金资助项目(61175066 60905041 61300124) 河南省高校科技创新人才资助项目(2012HASTIT013) 河南省高校青年骨干教师项目(2011GGJS-056) 河南理工大学创新型科研团队支持计划项目(T2013-3)
关键词 协同采购 计算实验 EWA学习算法 市场需求 企业自利性 企业密度 collaborative procurement computational experiments EWA learning algorithm market requirement enterprise self-interest enterprise density
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