摘要
基于供应中断的特殊背景,综合考虑由货运代理企业、主要航空物流企业和备用航空物流企业组成的多级、多服务产品航空物流服务供应链,利用区间分析法表达服务产品销售价格的不确定性,并在此基础上建立航空物流服务供应链鲁棒多目标优化模型,并对该模型进行了求解与检验。结合数值算例结果,表明该模型能够在供应中断背景下,同时满足货运代理企业、主要航空物流企业和备用航空物流企业利润最大化的目标,对航空物流服务供应链进行了有效优化。
Under the special background of supply failure,the paper comprehensively considered the multi-level,multi-service/product aviation logistics service supply chain composed of freight forwarders,major aviation logistics enterprises and backup aviation logistics enterprises,and used interval analysis to express the uncertainty in service/product sales price.On such basis,the paper established a robust multi-objective optimization model of the aviation logistics service supply chain,then solved and verified it.Combined with the result of a numerical example,it was shown that said model could maximize the profit of the freight forwarders,major aviation logistics enterprises and backup aviation logistics enterprises in event of supply failure,and effectively optimize the aviation logistics service supply chain.
作者
刘文军
LIU Wenjun(School of Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China)
出处
《物流技术》
2021年第12期106-111,141,共7页
Logistics Technology
关键词
供应中断
航空物流服务供应链
区间分析法
鲁棒优化
supply disruption
aviation logistics service supply chain
interval analysis
robust optimization