摘要 随着城市内车辆的不断增加,汽车尾气的排放对环境的影响越来越大,但传统的LIRP研究很少考虑节能减排的因素。本文在传统的LIRP基础上,针对考虑碳排放成本和时间窗惩罚成本的城市车辆配送问题,将选址、库存和路径集成化进行研究,建立以经济成本最小化为目标的LIRP模型,采用差分进化算法对该问题进行求解。通过实验,验证设计的差分进化算法在求解该问题时的有效性。 With the increasing number of vehicles in the city,the impact of vehicle exhaust on the environment is more and more great,and enterprises have higher and higher requirements on time.However,the traditional study of LIRP seldom considers the factors of energy saving and emission reduction.Aiming at the integrated optimization research of enterprise logistics,based on the traditional LIRP,the two factors of carbon emission cost and time window penalty cost are comprehensively considered to solve the problem of urban vehicle distribution.The location,inventory and path problems are studied in an integrated way,establishing a LIRP model with the objective of minimizing the economic cost,and solving the problem with the improved differential evolution algorithm.Through an analysis of different scale examples,the accuracy of the model and the effectiveness of the differential evolution algorithm designed are verified,which can save the cost of enterprise distribution and provide a certain reference value.
机构地区 长安大学汽车学院
出处 《工业工程》 北大核心 2021年第2期34-42,共9页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(71971030) 陕西省自然科学基金资助项目(2019JM-495) 榆林市科技计划资助项目(2019-2-26)。
关键词 选址−库存−路径问题 时间窗 碳排放 差分进化算法 location-inventory-routing problem(LIRP) time windows carbon emissions differential evolution algorithm
