为了有效预防、控制果蔬农产品加工企业物流外包风险,针对果蔬物流外包风险预警进行了应用设计研究.提出构建果蔬物流外包风险预警系统的思路,从环境风险、管理风险、信息风险、合作风险与财务风险的角度设计了果蔬物流外包风险预警指标体系.根据设定的指标体系,运用BP神经网络构建了果蔬物流外包风险预警模型,并利用该模型对果蔬农产品加工型企业的物流外包风险进行测量,依据风险等级确定警度,最后采取相应的风险预控对策.%In order to effectively prevent and control the logistics outsourcing risk of fruit and vegetable processing enterprises, an application design for college fruit and vegetable logistics outsourcing risk prewarning was carried out. Firstly, the idea to construct a fruit and vegetable logistics outsourcing risk forewarning system was proposed, and then an index system to reckon the logistics outsourcing risk was designed in aspects of environmental risk, management risk, information risk, cooperation risk and financial risk. According to the established index system , a fruit and vegetable logistics outsourcing risk forewarning model was built with the method of BP neural network, with which fruit and vegetable processing enterprises could forecast the level of logistics outsourcing risk. According to the level, forewarning precision was identified, finally, countermeasures were taken.
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