易腐供应链-空陆联运选址规划:以鲜切花为案例  

Perishable Supply Chain Location-Intermodal Transportation Planning:A Case Study of Fresh-cut Flowers

作　　者：钱田 王旻轲 张宝山 张昊彤 QIAN Tian;WANG Minke;ZHANG Baoshan;ZHANG Haotong(School of Airport Engineering,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China)

机构地区：[1]中国民用航空飞行学院机场学院,四川广汉618307

出　　处：《科技和产业》2025年第8期122-128,共7页Science Technology and Industry

摘　　要：随着贸易日益全球化,高效、安全、低碳地配送产品是易腐物品供应链网络设计中的一项重要挑战。以优化中国云南省昆明市鲜切花加工和预冷中心为例,建立一个混合整数线性规划模型,考虑易腐性的不确定性、设施位置的有限容量、流量分配和运输情绪,旨在使成本、碳排放和运输时间最小化。并且引入了Weibull函数来模拟易腐产品在运输过程中的损耗。鉴于问题的复杂性,设计一种将最小元素法与遗传算法相结合的混合算法。通过严格的数值分析,证实提出的模型和算法的适用性和有效性。结论指出易腐性对建立预冷中心以及运输方式的影响。企业应根据产品的易腐性决定运输方式,并调整预冷中心的数量和容量。With increasingly globalized trade,efficiently,safely,and low-carbon distributing products is a critical challenge in the perishable supply chain network design(PSCND).A mixed-integer linear programming(MILP)model was developed considering perishability uncertainty,limited capacity of facility location,flow allocation and transport mood,aiming to minimize cost,carbon emissions and transportation time,as a case study,optimizing fresh-cut flower processing and pre-cooling centers in Kunming,Yunnan Province,China.The Weibull function was introduced to model the loss of perishable products during transportation.Given the intricate nature of the problem,a hybrid algorithm that integrated the minimum element method with the genetic algorithm was devised.The applicability and validity of our proposed model and algorithm was substantiated through rigorous numerical analysis.It draws out the impact of perishability on establishing processing and pre-cooling centers and modes of transport.Enterprises should decide on the mode of transport and adjust the number and capacity of processing and pre-cooling centers according to the perishability of products.

关 键 词：易腐性 供应链 遗传算法 

分 类 号：U8[交通运输工程] U9