摘要
研究了基于低碳排放的锦州JS配送公司的车辆路径优化问题.首先通过分析目前锦州JS配送公司的车辆路径规划方案发现该公司在规划路径时只关注路径最短,而忽视了碳排放成本.然后通过具体分析配送过程中能源消耗的来源,考虑车辆自重和载重、车辆出行距离等对配送能源消耗的影响,建立了以极小化碳排放成本为目标的车辆路径优化问题的混合整数规划模型,通过求解模型得到新的配送路径优化方案.优化后的配送方案比原先的配送方案减少了14.16万元的碳排放成本.研究结果对物流企业降低碳排放具有指导意义.
The vehicle routing problem of Jinzhou JS enterprise is studied under low carbonemission. First of all, by analyzing the current Jinzhou JS enterprise＇ s vehicle routingscheme, we found that the paths planed by Jinzhou JS enterprise only concerned about theshortest distance, while ignored the cost of carbon emissions. Next, by analyzing the sourceof energy consumption in the process Of distribution, considering the influence of vehicleweight and load, vehicle travel distance on the distribution of energy consumption, a mixedinteger programming model of vehicle routing optimization is established to minimize thecarbon emission cost. The new optimal scheme is obtained by solving the model. The costof the new optimal distribution plan is reduced by 141,600 yuan than that of the originalplan. The research results of this paper can guide the logistics to reduce carbon emissions.
出处
《数学的实践与认识》
北大核心
2017年第11期44-49,共6页
Mathematics in Practice and Theory
基金
国家自然科学基金(71540028)
北京市高创计划教学名师(G02040011)
北京物资学院高级别项目培育基金(GJB20164005)
北京市重点实验室(BZ0211)
北京市智能物流协同创新中心
关键词
低碳排放
车辆路径优化
数学模型
碳排放成本
low carbon emission
vehicle routing problem
mathematical model
carbonemission cost
