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基于Multi-Agent技术的林产品供应链竞合研究

Research on Competition and Cooperation Among Enterprises in Forest Product Supply Chain Based on Multi Agent
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摘要 林产品贸易快速发展,随之而来的是竞争日益加剧,林产品供应链管理是林业产业发展的必然结果,供应链上企业间的竞合研究成为了热点。为此,搭建了基于Multi-Agent的林产品供应链,并在探讨核心制造商和销售商博弈收益的基础上,针对供应链中两者竞合关系进行了研究。通过对相应情况的建模仿真,在实验结果对比分析中发现制造商和销售商合作关系的影响因素有:初始合作比例、契约违约金和第三方监督,三者对合作行为有不同的影响,高水平的惩罚和监督可以有效抑制合作过程中的背叛行为。在此基础上,提出了培养信任文化、建立信誉评价平台和增设第三方监督主体的促进供应链合作的建议,为林产品供应链竞合研究提供参考。 With the rapid development of forest product trade,the competition is increasingly intensified.Forest product supply chain management is the inevitable result of the development of the forestry industry.The research on competition and cooperation among enterprises in the supply chain has become a hot topic.This paper builds a forest product supply chain based on Multi-Agent,and studies the competition and cooperation relationship between the core manufacturers and sellers on the basis of discussing the game benefits.Through the modeling and simulation of the corresponding situation,in the comparative analysis of the experimental results,it is found that the influencing factors of the cooperative relationship between manufacturers and sellers are:initial cooperation proportion,contractual penalty and third-party supervision.The three have different effects on the cooperative behavior.High-level punishment and supervision can effectively inhibit the betrayal behavior in the process of cooperation.On this basis,suggestions are put forward to foster a culture of trust,establish a reputation evaluation platform and add a third-party supervision body to promote supply chain cooperation,laying a foundation for the research on competition and cooperation of forest product supply chain.
作者 王欢欢 龙勤 Wang Huanhuan;Long Qin(School of Economics and Management,Southwest Forestry University,Kunming,Yunnan 650224,China)
出处 《绿色科技》 2023年第5期265-269,共5页 Journal of Green Science and Technology
基金 云南省教育厅科学研究基金研究项目(编号:2022Y632)。
关键词 林产品 供应链 竞合 MULTI-AGENT 博弈 forest products supply chain competition and cooperation Multi Agent game
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