摘要
为了快速响应客户需求和保证其服务,集群式供应链除了单链间的订单协作外,单链还可持有一定的安全库存以应对需求的不确定性。文章考虑单链间订单协作、单链各阶段的模式选择和安全库存设置,结合保证服务模型和产能约束,采用增广拉格朗日协调(ALC)方法建立了由品牌运行商(即盟主)和单链构成的集群式供应链系统分布式决策模型,并应用启发式遗传算法对其子系统模型进行求解,分析对比有限产能约束和无限产能约束条件下的优化配置结果,得到了几点重要的管理学启示。
In order to rapidly respond to customer demand and guarantee customer service,single supply chains of cluster supply chains can hold certain safety stock to deal with demand uncertainty apart from orders cooperation between them.Simultaneously considering the orders cooperation between single supply chains,mode selection and inventory positioning of single supply chains,this paper employs augmented Lagrange coordination to establish a distributed decision model of cluster supply chains composed of brand operator(i.e.leader)and single supply chains integrating guaranteed service model with capacity constraints.Heuristic genetic algorithm is developed to solve sub-models.And some important management insights are obtained by analyzing and comparing the optimal configuration results under limited capacity constraints and infinite capacity constraints.
作者
聂笃宪
NIE Du-xian(College of Mathematics and Informatics,South China Agricultural University,Guangzhou,Guangdong 510642)
出处
《供应链管理》
2020年第10期5-19,共15页
SUPPLY CHAIN MANAGEMENT
基金
广东省自然科学基金项目(2017A030313401)。
关键词
集群式供应链
供应链配置
保证服务模型
增广拉格朗日协调
遗传算法
cluster supply chains
supply chain configuration
guaranteed service model
augmented Lagrangian coordination
genetic algorithm
