【摘要】 针对当前日益严峻的环境问题,提出在冷链物流配送中考虑节能减排因素来降低碳排放量的策略,并以包括考虑碳排放成本在内的综合总成本最小和平均顾客满意度最大为目标函数,构建带有时间窗的生鲜农产品配送路径问题的多目标优化模型。采用改进蚁群算法对模型进行求解,通过算例验证了模型的有效性。通过算例将文章中的模型与传统VRP模型中以总里程最短为目标函数的路径优化结果进行比较,从而为生鲜农产品车辆配送路径优化决策提供参考。更多还原

【Abstract】 In view of the increasingly serious environmental problems, the research proposes a strategy to reduce carbon emissions by considering energy-saving and emission reduction factors in cold chain logistics distribution. And establishing a multi-objective optimization model for the distribution path of fresh agricultural products with time windows was constructed with the objective of minimizing the total total cost and the average customer satisfaction, including the consideration of carbon emission costs. The improved ant colony algorithm is used to solve the model. The validity of the model is verified by an example. The example of this paper is compared with the path optimization result of the traditional VRP model with the shortest total mileage as the objective function, which provides a reference for the optimization decision of fresh agricultural vehicle distribution route.更多还原