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Research on Optimization of Pasteurized Milk Cold Chain Logistics Distribution Network

机译:巴氏杀菌牛奶冷链物流配送网络优化研究

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With the popularity of pasteurized milk.the requirements for quality and quantity from customers are increasing. This article takes cold chain distribution network of the Guangzhou dairy company as research object and bases on the special needs of pasteurized milk on time and temperature.establishing a vehicle routing optimization model of cold chain logistics with time window in dynamic network model through improving traditional vehicle routing problem. Also, a hybrid genetic algorithm is designed to solve the model which uses the excellent local search ability of hill climbing algorithm to optimize the genetic algorithm. Finally, it analyzes data from the company sets reasonable parameters and obtains the optimization results through which, the author gives corresponding recommendations in order to improve the quality of dairy products and the cold chain delivery efficiency of this company.
机译:随着巴氏杀菌牛奶的普及,客户对保质保量的要求越来越高。本文以广州乳业公司的冷链配送网络为研究对象,根据巴氏杀菌牛奶在时间和温度上的特殊需求,通过改进传统车辆,建立了具有动态网络模型中时间窗口的冷链物流车辆路径优化模型。路由问题。此外,设计了一种混合遗传算法来求解该模型,该模型利用爬山算法的出色局部搜索能力来优化遗传算法。最后,对该公司的数据进行分析,设定合理的参数,并获得优化结果,作者提出相应的建议,以提高该公司的乳制品质量和冷链配送效率。

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