基于疫情需求的A医药公司库存控制研究  

Research on Inventory Control of A Pharmaceutical Company Based on Epidemic Demand

作　　者：黄钰婷 曾锐 沈凯 HUANG Yuting;ZENG Rui;SHEN Kai(School of Medical Business,Guangdong Pharmaceutical University,Zhongshan 528400,China;Guangdong Research Base for Drug Regulatory Science,Zhongshan 528400,China)

机构地区：[1]广东药科大学医药商学院,广东中山528400 [2]广东省药品监管科学研究基地,广东中山528400

出　　处：《物流科技》2022年第7期163-166,共4页Logistics Sci-Tech

基　　金：2019年广东省普通高校特色创新类项目(本科)(2019WTSCX046)。

摘　　要：作为医药企业的A公司是抗疫物资供应链的重要参与者,在抗疫物资供应活动中发挥重要作用。由于新冠病毒变异快,变种毒株多,传播力强,疫情发展态势难以预料,从而导致抗疫药品需求不稳定,无法直接参考以往的需求应用库存控制模型。为设置适应抗疫需求的库存,文章考虑抗疫药品的特殊性,采用层次分析法改进A医药公司的抗疫物资分类,然后寻找最优指数平滑系数提高预测精度,依据指数平滑法预测抗疫物资的需求。并对A类、B类抗疫物资建立定量订货库存控制模型,对C类抗疫物资建立定期订货模型,实现抗疫物资供应质量和成本的平衡。As a pharmaceutical company,company A is an important player in the supply chain of anti-epidemic materials and plays an important role in the supply activities of anti-epidemic materials.Due to the rapid mutation of the COVID-19,the large number of mutant strains,the strong transmission and the development of the epidemic are unpredictable,which leads to the unstable demand for anti-epidemic drugs.It is impossible to apply an inventory control model by directly referring to the previous demand.In order to set up models adapted to the demand for anti-epidemic drugs,this paper uses analytical hierarchy process to improve the classification of anti-epidemic materials of pharmaceutical company A,considering the special characteristics of anti-epidemic drugs.Then,the optimal exponential smoothing coefficient is found to improve the prediction accuracy,and the demand for anti-epidemic materials is predicted based on the exponential smoothing method.It also establishes fixed-order quantity models for class A and B anti-epidemic supplies and the fixed-time quantity model for class C anti-epidemic supplies,achieving a balance between the quality and cost of anti-epidemic supplies.

关 键 词：指数平滑法 层次分析法 库存控制模型 

分 类 号：F253[经济管理—国民经济]