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作 者:李娅 王旭坪[1] 林娜[1] 冯晓春 阮俊虎[2] 胡祥培[1] Li Ya;Wang Xuping;Lin Na;Feng Xiaochun;Ruan Junhu;Hu Xiangpei
机构地区:[1]大连理工大学经济管理学院,大连116024 [2]西北农林科技大学经济管理学院,杨凌712100
出 处:《复印报刊资料(物流管理)》2023年第4期70-84,共15页LOGISTICS MANAGEMENT
基 金:国家重点研发计划(2019YFD1101103);陕西省社会科学基金年度项目(2020R002)。
摘 要:针对我国村镇农产品无法预冷或预冷效果不佳的问题,本文结合我国村镇农产品生产及预冷特点,提出综合应用固定设施和移动设施两种预冷模式的协调预冷机制,构建了以预冷模式、固定预冷设施容量与选址、相关车辆的车型与数量及路径等因素为变量,以系统成本最低为目标的多类型预冷设施选址-路径优化模型。根据模型的特点,设计了改进遗传算法,该算法设计了能表达所有决策信息的染色体,并制定与之相应的初始化、交叉和变异规则,从而实现了选址和路径的集成优化。最后,通过算例验证了模型和算法的有效性,并分析了生产结构、农户分布等因素对多类型预冷服务网络布局设计及其车辆路径规划的影响。本文研究成果对于我国村镇多类型预冷服务网络布局优化具有重要的理论意义和实用价值。Given the problem that the agricultural products can not be precooled or the precool is ineffective in China,this paper proposes a location-routing optimization model,taking the precooling characteristics of agricultural products and a coordinated precooling mechanism by combining fixed and mobile precooling modes into account si-multaneously.For the location-routing optimization model of multi-type precooling facilities,the objective is mining the system cost.Particularly,we discuss it with taking precooling mode,capacity and location of fixed precooling facil-ities,vehicle type,number and route of two types of vehicles as the variables.To solve this model,an improved genet-ic algorithm is designed according to the characteristics of the model.The algorithm designs the chromosome that can express all the decision information,and formulates the corresponding initialization,crossover and mutation rules to realize the integrated optimization of location and routing.Finally,an example is given to verify the effectiveness of the model and algorithm.The sensitivity analysis is carried out by taking the regional characteristics of typical villages in China as parameters from the perspective of production structure and farmers distribution.The research results can provide practical decision support for the layout of the multi-type precooling service network in China.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] F323.7[自动化与计算机技术—控制科学与工程] F252[经济管理—产业经济]
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