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文章借鉴物流联盟风险评价问题已有成果,总结了影响物流联盟风险的主要因素,并在此基础上建立了两级4种类型的物流联盟风险评估指标体系,该指标体系包括市场风险、合作关系风险、能力风险、信息与管理风险4个方面共11个评价指标。建立了基于BP神经网络分析法对物流联盟合作伙伴选择模型,利用MATLAB进行了样本训练和实例分析,结果显示利润分配、信息共享、信任程度是影响物流联盟风险最重要的二级指标。
The paper draws lessons from the results of the logistics alliance risk evaluation, summarizes the main factors affecting the logistics alliance risk, and on this basis establishes two levels of four types of logistics alliance risk assessment index system, which includes market risk, cooperation Risk, ability and risk, information and management risk of 4 aspects of a total of 11 evaluation indicators. The model of logistics alliance partner selection based on BP neural network analysis was set up, and the sample training and case analysis were carried out by using MATLAB. The results showed that profit distribution, information sharing and trust level were the most important secondary indicators that affect the logistics alliance risk.