摘要
针对低碳物流配送中心选址问题,结合需求不确定的现实问题,采用随机规划理论,建立以包含碳排放成本在内的总成本最低为目标、以不确定性需求为随机约束的选址模型,通过实例运用验证模型的有效性,能够为企业在实际市场需求波动下的选址投入以及收益提供一定的参考价值.另外,对不确定性需求的置信水平和标准差进行灵敏度分析,案例分析结果显示:碳排放因素与需求的不确定性对配送中心选址结果存在较为显著的影响;选址总成本与需求的不确定程度密切相关,碳排放成本也会随着需求的变动产生较大的波动.
Aiming at the location problem of low carbon logistics distribution center,a location model that takes the lowest total cost including carbon emission costs as the goal and the uncertainty requirements as the random constraint is proposed,with stochastic programming theory,the model is validated to be effective by the use of actual examples.It is proved that the model can provide a certain reference value for the location investment and income of the enterprise under the fluctuation of actual market demand.In addition,the sensitivity analysis of confidence level and standard deviation of the uncertainty demand is carried out,which shows that the uncertainty of carbon emission and demand have significant impacts on the distribution center location results;the total cost of location is closely related to the degree of uncertainty of demand,and the cost of carbon emissions will also fluctuate greatly with changes in demand.
作者
林殿盛
张智勇
王佳欣
梁希
石永强
LIN Dian-sheng;ZHANG Zhi-yong;WANG Jia-xin;LIANG Xi;SHI Yong-qiang(School of Economics and Commerce,South China University of Technology,Guangzhou 510006,China)
出处
《控制与决策》
EI
CSCD
北大核心
2020年第2期492-500,共9页
Control and Decision
基金
国家自然科学基金项目(71572058)
教育部人文社会科学基金项目(17YJC630230).
关键词
低碳物流
配送中心
选址
随机规划
需求不确定
low-carbon logistics
distribution center
location
stochastic programming
uncertain demand
