摘要
基于冷链物流车辆配送节能减排的必要性,在考虑车速、距离、载重量等影响因素的情况下,建立以碳排放量最低为目标的配送路径优化模型,运用蚁群算法进行路径优化,并与总路程数最短为目标的模型进行比较。从而对政府和冷链物流企业提出建议,激励企业选择低碳化的配送路径,对提高企业的经济效益和社会效益都有重要意义。
Based on the necessity of energy-saving and emission reduction of cold-chain logistics vehicles, the optimization model of distribution route with the lowest carbon emission is established, considering the influence factors such as speed, distance and deadweight. The ant colony algorithm is used to optimize the path, and it is compared with the model with the shortest total distance. Thus, the paper makes some recommendations to the government and cold chain logistics enterprises. It is important to encourage enterprises to choose low-carbon distribution path to improve the economic efficiency of enterprises and social benefits.
出处
《科技管理研究》
CSSCI
北大核心
2017年第17期228-232,共5页
Science and Technology Management Research
基金
国家自然科学基金项目"基于社会偏好的鲜活农产品供应链质量安全激励机制研究"(71301073)
关键词
碳排放量
路径优化
冷链物流
carbon emissions
path optimization
cold chain logistics
