摘要
由于突发事件的不确定性,制造商往往会面临缺货的风险,为了减少缺货损失和提高服务水平,制造商采取外协策略以应对紧急缺货。从制造商的年需求满足度出发,在同类企业相互协作的背景下构建制造商库存决策的成本—弹性模型,研究制造商最优库存决策。采用精英策略的非支配排序的Nsga-Ⅱ遗传算法和数值仿真得出制造商外协策略成本—弹性模型的最优库存决策,并对模型中的参数进行了分析。研究结果表明,为保证总成本最小,当信息误差率较低时,应适当减少初始期初库存,为降低信息共享误差率,可建立信息共享平台,使供需双方信息透明化;当需求越不稳定时,更需要加强制造商间的协作,建立长期合作框架协议,以便共同抵御突发事件的影响。
Due to the uncertainty of emergencies,manufacturers often face the risk of stock shortage.In order to reduce the loss of stock shortage and improve the service level,manufacturers adopt outsourcing strategies to deal with emergency stock shortage.Based on the annual demand satisfaction of the manufacturer,the cost-elasticity model of the inventory decision of the manufacturer is constructed under the background of the cooperation of similar enterprises,and the optimal inventory decision of the manufacturer is studied.The elite strategy of non-dominated sorting the Nsga-Ⅱgenetic algorithm and numerical simulation that manufacturers outsourcing strategy cost-elastic model of optimal inventory decisions,and analyses the parameters in the model.The results show that,in order to minimize the total cost,when the error rate of information is low,the initial inventory should be appropriately reduced.In order to reduce the error rate of information sharing,an information sharing platform can be established to make the information of the supply and demand parties transparent.When the demand is more unstable,it is more necessary to strengthen the cooperation between manufacturers and establish a long-term cooperation framework agreement,so as to jointly resist the arrival of emergencies.
作者
陈俐
方叶祥
甘平
CHEN Li;FANG Yexiang;GAN Ping(School of Economics and Management,Nanjing Tech University,Nanjing 211816,China)
出处
《物流科技》
2021年第8期40-44,47,共6页
Logistics Sci-Tech
基金
江苏省社会科学重大应用项目(20WTA-002)
江苏省高校社会科学重点基金项目(2017ZDIXM075)。
关键词
突发事件
外协
需求满足度
弹性
emergency
outsourcing
degree of demand satisfaction
elasticity
作者简介
陈俐(1995-),女,安徽马鞍山人,南京工业大学经济与管理学院硕士研究生,研究方向:应急物资管理;方叶祥(1971-),男,安徽定远人,南京工业大学经济与管理学院,副教授,博士,研究方向:生产规划。
