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首页> 外文期刊>Computers & Industrial Engineering >Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises
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Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises

机译：低碳排放环境下的正反向物流网络与路径规划-以上海生鲜电商企业为例

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摘要

In view or the rapid development or low-carbon economy, the increasing distribution demand and returned demand which caused by the short shelf life and spoilage of fresh food, network and route planning model of a two-stage forward/reverse logistics is firstly proposed for fresh food e-commerce enterprises under the environment of low-carbon emissions (The objective in the first stage is to minimize the overall cost of the system, and the minimum overall cost of the circulation-type distribution vehicles routing is considered in the second stage). And the validity of the model is verified by adopting genetic algorithm (GA) and particle swarm optimization (PSO) algorithm with the study of the fresh food e-commerce enterprises of Shanghai. Furthermore, a good reference can be provided to build the forward and reverse logistics network and optimal route planning model of fresh food e-commerce enterprises and reduce the carbon emissions during its operation process.
机译：鉴于快速发展或低碳经济，首先提出了由于保质期短和新鲜食品的变质，两阶段正反向物流的网络和路线规划模型而引起的分销需求和退货需求的增加。低碳排放环境下的生鲜食品电子商务企业（第一阶段的目标是使系统的总成本最小化，第二阶段考虑流通型配送车辆的最低总成本） ）。通过对上海生鲜电商企业的研究，采用遗传算法和粒子群优化算法对模型进行了验证。为建立生鲜电商企业的正，反向物流网络和最优路径规划模型，减少其运营过程中的碳排放量提供了参考。

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