摘要
伴随着生鲜农产品的需求量与日俱增,因失温而导致的冷链物流断链的风险日益突出。运用FTA方法构建生鲜农产品冷链失温风险的故障树模型,并利用收集整理得到的近年来生鲜农产品发生失温风险的数据进行定量分析,求出最小割集以及失效概率,对基本事件和最小割集进行重要度排序,最后制定有针对性的风险防控策略。
With the increasing demand for fresh agricultural products,the risk of cold chain logistics chain breaking due to temperature breaks is becoming increasingly prominent.The FTA method was used to construct a fault tree model of the cold chain temperature breaks risk of fresh agricultural products.A quantitative analysis was carried out on the recent data from the temperature breaks events,and the minimum cut set and failure probability were calculated,and finally the probability importance of all basic events and the minimum cut set importance were ranked to put forward corresponding risk prevention and control strategies.
作者
刘邹洲
杨中华
黄锦
王月丽
LIU Zouzhou;YANG Zhonghua;HUANG Jin;WANG Yueli(Evergrande School of Management,Wuhan University of Science&Technology,Wuhan 430081,China;Hubei Province Center for Industrial Policy and Management Research,Wuhan 430081,China;Center for Service Science and Engineering,Wuhan University of Science&Technology,Wuhan 430081,China)
出处
《物流科技》
2023年第7期121-125,共5页
Logistics Sci-Tech
基金
湖北省教育厅人文社会科学重点研究项目“学科交叉主题的可视化识别:以统计学学科为例”(17D009)
武汉科技大学2021年度研究生创新创业基金项目“三维装载约束下汽车零部件同时取送的循环取货路径优化研究”(JCX2021038)。
关键词
生鲜农产品
失温风险
故障树分析(FTA)
风险识别
fresh agricultural products
temperature breaks
fault tree analysis(FTA)
risk identification
