Risk Transfer Mechanism and Control in Logistics of Fresh Agriculture Product Supply Chain

被引:0
|
作者
Fu Z. [1 ]
Yan Y. [1 ,2 ]
Guo Q. [1 ]
Qiu Z. [1 ]
机构
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, 610031, Sichuan
[2] Chengdu Technological University, Chengdu, 610031, Sichuan
来源
Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University | 2018年 / 53卷 / 03期
关键词
Fresh agricultural product; Logistics engineering; Risks management; Supply chains; Transfer;
D O I
10.3969/j.issn.0258-2724.2018.03.029
中图分类号
学科分类号
摘要
In order to better reflect the transmission of financial risk caused by the time deviation of a logistics operation, the transmission problem of overdue risk caused by logistics delays in the supply chain of fresh agricultural products was analysed, based on the condition of time constraints of a logistics service. First, by applying the principles of disease transmission of lemology, the three infectious elements, which are infection source, transmission carrier, and infected person, were introduced into the identification of logistics risk transmission, and five risk factors were established. These included logistics operation standards, management ability, environmental protection, logistics extension, and spatial risk transmission. Then, the numerical analysis of an iterative method was used to calculate the value of the supply chain overdue risk based on the risk transfer model of logistics of a fresh agricultural products supply chain. In addition, the factors that influence the overdue risk value of a supply chain, which is affected by controlling risks, were studied including internal nodes, spatial transfer, and logistics delay. These were analysed using an example. The analysis showed that calculating the risk node is beneficial to finding the key node for controlling risk transmission, and after optimizing the risk elements of key nodes it can be used to reduce the risk value effectively for the circumstance when the supply chain follows a single logistics direction. In the example analysis, nodes 2 and 4 were recognized as the key nodes for generating the supply chain overdue risk and their risk values were calculated as 0.45 and 0.39, respectively. After the factors were optimized the overdue risk value of the supply chain was reduced from 0.39 to 0.29. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.
引用
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页码:654 / 660
页数:6
相关论文
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