摘要
日益增长的低碳冷链物流需求,迫切需要政府出台合理的碳排放权交易和新能源冷藏车补贴政策,引导冷链物流企业购置新能源冷藏车代替燃油冷藏车。运用双层规划方法构建了低碳冷链物流配送系统优化决策模型,上层为政府目标,追求整体冷链配送系统总成本最小化;下层为冷链物流企业目标,追求企业成本最小化。用混沌粒子群算法求解了该模型,并将此方法应用于W市冷链物流配送系统优化决策,得到了联合采用新能源冷藏车补贴和碳排放权交易政策比单独采用其中之一更能有效促进企业节能减排等结论,以期为政府和企业决策提供科学的依据,为提高整个社会的节能减排提供一定的思路。
With the increasing demand for low-carbon cold chain logistics,it is urgent for the government to introduce a reasonable subsidy policy for new energy refrigerated vehicles and carbon emissions trading policy to guide cold chain logistics enterprises to purchase new energy refrigerated vehicles instead of fuel refrigerated vehicles.A decision-making model of low-carbon cold chain logistics distribution system was established by using the method of double-level programming,the upper level was the goal of the government to minimize the total cost of the whole cold chain distribution system;the lower level was the goal of the cold chain logistics enterprise to minimize the cost of the enterprise.Chaotic particle swarm optimization(CPSO)was developed to improve this model,and this method was applied to the decision-making of cold chain logistics system in W city.The combination of subsidies and carbon emissions trading policies for new energy refrigerated vehicles is more effective than one of them alone in promoting energy conservation and emission reduction of enterprises.The result can provide a scientific basis for government and enterprise decision-making,and improve the energy saving and emission reduction of the whole society to provide some ideas.
作者
张思颖
陈宁
李延晖
杨佳
ZHANG Siying;CHEN Ning;LI Yanhui;YANG Jia(School of Management,Wuhan College,Wuhan,Hubei 430212,China;School of Transportation,Wuhan University of Technology,Wuhan,Hubei 430063,China;School of Information Management,Central China Normal University,Wuhan,Hubei 430079,China;Wuhan Planning&Design Co.,Ltd.,Wuhan,Hubei 430014,China)
出处
《工业工程与管理》
北大核心
2022年第1期56-64,共9页
Industrial Engineering and Management
基金
2019年湖北省人文社科重点研究基地湖北物流发展研究中心课题资助成果(2019A04)
关键词
碳排放权配额
单位新能源冷藏车补贴率
混沌粒子群算法
双层规划模型
碳减排量
carbon emission quotas
subsidy rate for per unit new energy refrigerated vehicle
chaotic particle swarm optimization
bi-level programming model(BLPM)
carbon emission reduction
作者简介
张思颖(1982—),湖北荆门人,博士研究生,主要研究方向为物流管理、区域经济与物流、供应链管理。E-mail:siying8548@qq.com;通信作者:陈宁(1965—),江苏如皋人,教授,博士生导师,主要研究方向为城市物流发展规划。E-mail:1772232879@qq.com。
