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Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint

机译:考虑碳足迹的冷链物流选址问题优化

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摘要

In order to solve the optimization problem of logistics distribution system for fresh food, this paper provides a low-carbon and environmental protection point of view, based on the characteristics of perishable products, and combines with the overall optimization idea of cold chain logistics distribution network, where the green and low-carbon location–routing problem (LRP) model in cold chain logistics is developed with the minimum total costs as the objective function, which includes carbon emission costs. A hybrid genetic algorithm with heuristic rules is designed to solve the model, and an example is used to verify the effectiveness of the algorithm. Furthermore, the simulation results obtained by a practical numerical example show the applicability of the model while provide green and environmentally friendly location-distribution schemes for the cold chain logistics enterprise. Finally, carbon tax policies are introduced to analyze the impact of carbon tax on the total costs and carbon emissions, which proves that carbon tax policy can effectively reduce carbon dioxide emissions in cold chain logistics network.
机译:为了解决生鲜食品物流配送系统的优化问题,本文基于易腐产品的特点,结合冷链物流配送网络的整体优化思路,提出了低碳环保的观点。 ,其中开发了以最低总成本为目标函数的冷链物流中的绿色和低碳选址路由问题(LRP)模型,其中包括碳排放成本。设计了一种具有启发式规则的混合遗传算法对该模型进行求解,并以一个实例验证了算法的有效性。此外,通过一个实际的数值例子获得的仿真结果表明了该模型的适用性,同时为冷链物流企业提供了绿色环保的位置分配方案。最后,引入碳税政策来分析碳税对总成本和碳排放的影响,证明碳税政策可以有效减少冷链物流网络中的二氧化碳排放。

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