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作 者:周愉峰[1,2] 刘思峰 苏加福[3] 李志 ZHOU Yufeng;LIU Sifeng;SU Jiafu;LI Zhi(Chongqing Municipal Engineering Technology Research Center for Information Management in Development,Chongqing Technology and Business University,Chongqing 400067,China;Postdoctoral Research Station of Management Science and Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 210016,China;Chongqing Municipal Key Laboratory of Electronic Commerce&Supply Chain System,Chongqing Technology and Business University,Chongqing 400067,China)
机构地区:[1]重庆工商大学重庆市发展信息管理工程技术研究中心,重庆400067 [2]南京航空航天大学管理科学与工程博士后流动站,江苏南京210016 [3]重庆工商大学电子商务及供应链系统重庆市重点实验室,重庆400067
出 处:《计算机集成制造系统》2021年第4期1167-1177,共11页Computer Integrated Manufacturing Systems
基 金:国家自然科学基金资助项目(71702015);中国博士后科学基金资助项目(2017M611810);重庆市基础科学与前沿技术研究资助项目(cstc2017jcyjAX0130);重庆工商大学科研平台开放基金资助项目(KFJJ2017057);重庆市教委人文社会科学研究资助项目(18SKGH063);重庆市教委科学技术研究资助项目(KJQN201900812).
摘 要:为了促进节能减排,提出碳税政策下分销网络设计中的多容量等级选址—路径鲁棒优化问题。通过引入box不确定集合与两类不确定水平参数来描述单位运费的不确定性。采用混合整数非线性规划对问题进行数学描述,进而基于强对偶理论将非线性模型转化为线性化的鲁棒等价模型。采用GUROBI软件进行了数值计算和分析。数值分析表明:碳税政策具有减排效应;随着碳税率的增大,碳排放量呈“阶梯式”下降趋势;单位运费的不确定波动会对企业的最优决策产生影响;在一定范围内启用更多的车辆数可以减少碳排放。政府应该根据市场规模与结构来设置合理的碳税率;企业可以根据决策偏好选择鲁棒控制参数,并考虑碳税影响来制定和调整最优决策方案。To promote energy conservation and carbon emission reduction,the robust optimization of location-routing problem with hierarchical capacities in distribution network design under carbon tax policy was studied.A mixed integer nonlinear programming model was proposed to describe the problem.Then,the nonlinear model was transformed into a linearized robust equivalent model based on the strong duality theory.The solver GUROBI was adopted for numerical calculation and analysis.The conclusions showed that the carbon tax policy had the effect of reducing emissions;with the increasing of carbon tax rate,the carbon emission showed a‘step’downward trend;the uncertain fluctuation of unit freight would affect the optimal decision of enterprises;using more vehicles within a certain range could reduce carbon emissions.The government should set a reasonable carbon tax rate according to the size and structure of the market.Enterprises could choose robust control parameters according to their decision preferences,and should make or adjust the optimal decision scheme considering the impact of carbon tax.
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