基于碳排放权交易与排队论的闭环物流网络设计  

Low-carbon closed-loop logistics network design based on carbon emission permits trade and queuing theory

作　　者：何其超[1,2] 骆温平[3] 胡志华[1] 李利华[2] 

机构地区：[1]上海海事大学物流研究中心,上海201306 [2]长沙理工大学公路工程省部共建教育部重点实验室,长沙410004 [3]上海海事大学经济管理学院,上海201306

出　　处：《计算机应用研究》2015年第6期1638-1641,1648,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(71101088);中国博士后科学基金资助项目(2011M500077;2012T50442);国家教育部博士点基金资助项目(20113121120002);长沙理工大学公路工程省部共建教育部重点实验室开放基金资助项目(kfj120102);湖南省自然科学基金项目(13JJ3072)

摘　　要：为了解决低碳经济环境下闭环物流网络设计问题,在碳排放权交易的约束下,以排队论计算逆向物流节点的存储量,考虑物流网络的运输成本、存储成本、建设成本、时间惩罚成本及碳交易成本,建立了以总成本最低为目标的闭环物流网络设计模型。以遗传算法为基础设计了求解算法,通过案例验证了物流网络设计模型和求解算法的可行性,就碳排放配额、交易价格以及时间惩罚对物流网络结构的影响进行了分析,表明现行的碳排放权交易环境基本不会改变企业物流网络结构。In order to solve closed-loop logistics network design problem under low-carbon economic environment, under car- bon emission permits trade constraint, this paper used queuing theory to calculate the amount of storage of reverse logistics nodes. Considered transport costs, storage costs, construction costs, time punishment cost and carbon trading costs, it established a closed-loop logistics network design model which minimized the total cost. It designed the solving algorithm based on genetic algorithm. It verified the feasibility of logistics network design model and solution algorithm through case analysis. At last, it an- alyzed the effects of carbon emissions quota, the transaction price and time penalty on logistics network structure. The results show that the current carbon emissions trading environment will not change the structure of logistics network.

关 键 词：物流网络 碳排放权交易 排队论 遗传算法 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]