考虑碳排放和时间窗约束的冷链物流配送路径优化研究

Research on Cold Chain Logistics Distribution Path Optimization Considering Carbon Emission and Time Window Constraints

摘要: 针对冷链物流配送成本较高以及配送不畅导致客户满意度不高的问题，本文在考虑时间窗、碳排放和货损成本的基础上，建立了以总配送成本最小为目标的生鲜农产品冷链物流配送路径优化模型。通过引入X企业的案例，采用遗传算法进行仿真实验，得出优化后的物流配送方案，并与企业原运输方案进行对比，得出以下结论：优化后物流配送总成本比原方案降低了8.38%。该结果表明本文模型能够有效降低物流配送成本，能为企业规划合理的配送路线，能为企业的决策提供建议。

Abstract: Aiming at the problems of high distribution cost of cold chain logistics and low customer satisfaction caused by poor distribution, this paper established a cold chain logistics distribution route optimization model of fresh agricultural products with the minimum total distribution cost as the target based on the consideration of time window, carbon emission and freight damage cost. By introducing the case of X enterprise and using genetic algorithm to conduct simulation experiment, the optimized logistics distribution scheme is obtained, and compared with the original transportation scheme of the enterprise, the following conclusion is drawn: The total cost of logistics distribution after optimization is reduced by 8.38% compared with the original scheme. The results show that this model can effectively reduce the logistics distribution cost, and can provide suggestions for enterprises to plan reasonable distribution routes and make decisions.