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作 者:曾媛 邹浩[1] 孙威虎 Zeng Yuan;Zou Hao;Sun Weihu(Hunan University of Finance&Economics,Changsha 410205,China)
出 处:《物流技术》2020年第12期45-48,160,共5页Logistics Technology
基 金:2020年度湖南省大学生研究性学习和创新性实验计划项目“大数据背景下物流共享仓储模式的设计与研究—以百世物流湖南基地为例”(湘教通[2020]191-4096);湖南省教育厅科学研究青年项目“低碳经济模式下供应链网络优化设计与均衡分析研究”(18B484)。
摘 要:对低碳经济模式下的城市群物流网络进行了研究。采用混合整数规划模型,以碳排放量、距离、成本等要素进行约束,构建了以最小碳排放以及最低运费为目标的优化模型,之后利用LINGO软件对模型求解。最后以长株潭城市群作为案例进行算例分析,选取了实际物流节点,并为之设置合理的运价,通过算例分析验证了模型的科学性与可行性。In this paper,asserting logistics network optimization as an important way to realize low-carbon economy,we studied the logistics network of an urban cluster under the low-carbon economy model.With carbon emissions,distance,cost,etc.,as constraints,we set up the mixed integer programming model of the logistics network,as well as the optimization model of the logistics network with minimum carbon emissions and lowest freightage as the objective.Then we used the LINGO software to solve the model.At the end,in the case of the Chang-Zhu-Tan urban cluster,we attempted to analyze numerically the rationality and feasibility of the model by setting reasonable freight rate for actual logistics nodes.Moreover,through sensitivity analysis of the model,and from the two aspects of demand and decision-making,we examined the key indexes and factors that may change in actual production operations and observe the impact of their adjustment on the ultimate outcome.
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