以生产基地为核心的联合库存管理
发布时间:2019-02-15 03:41
【摘要】:本文是对以生产基地为核心多级库存管理方法的研究。 首先,对M公司亚太区医疗生产基地的客户进行分析,确定研究对象是一个包含制造商、分销商、零售商及终端客户的三级供应链库存模型。结合医疗生产基地所供应产品的特点及生产组织形式,阐述了当前采用了以需求预测为原动力的“推”式的供应链模式。通过对需求预测准确率的分析确定了需求信息扭曲导致了当前低库存周转率和高呆滞库存率。 然后,绘制当前供应链库存结构及仓库点的模型,锁定了分散式的库存管理策略是导致需求信息扭曲的根本原因,同时信息系统不完善、低效率的信息传递,缺少有效的沟通渠道及标准流程又加剧了信息的扭曲程度。本文基于对根本原因的具体分析,提出了通过建立数据共享平台,应用联合库存管理策略,加强供应链节点企业间的信息共享和协作,把库存管理转化为连接企业间的纽带和桥梁,实施以生产基地为核心的联合管理策略。通过建立GDMR数据平台,实现了信息在各节点企业间的及时、有效的传递,增强生产基地对下游分销网络节点有效需求信息的整合。同时为了尽可能的消除理性及非理性的需求信息的扭曲,通过系统基于历史需求的统计函数计算,输出需求统计预测,为企业间共同制定库存策略提供了数据支持,为联合库存管理点奠定了牢固的基础。把联合库存管理从单纯的减低成本,转化基于一定服务水平和客户满意度平衡机制,,并进行了从理论技术转化为实际应用的具体验证,证明了该策略的有效性及可执行性,对其它生产基地具有一定的借鉴意义。 最后,根据本文的研究成果,分析了尚有欠缺的部分,并对未来具体的研究方向提出了设想。
[Abstract]:This paper is a study of multilevel inventory management based on production base. Firstly, this paper analyzes the customers of M Company's Asia Pacific Medical production Base, and determines that the research object is a three-level supply chain inventory model which includes manufacturers, distributors, retailers and terminal customers. Combined with the characteristics of the products supplied by the medical production base and the production organization, this paper expounds the current "push" supply chain mode, which is driven by demand forecasting. By analyzing the accuracy of demand prediction, it is found that the distortion of demand information leads to low inventory turnover and high stagnant inventory rate. Then, drawing the model of inventory structure and warehouse point of supply chain, locking the decentralized inventory management strategy is the root cause of the distortion of demand information, at the same time, the information system is imperfect and inefficient information transmission. The lack of effective communication channels and standard processes exacerbates the distortion of information. Based on the concrete analysis of the root causes, this paper proposes to strengthen the information sharing and cooperation among the supply chain node enterprises by establishing the data sharing platform and applying the joint inventory management strategy. The inventory management is transformed into the link and bridge between the enterprises, and the joint management strategy based on the production base is implemented. Through the establishment of GDMR data platform, the timely and effective transmission of information among the node enterprises is realized, and the integration of the effective demand information of the downstream distribution network node in the production base is enhanced. At the same time, in order to eliminate the distortion of rational and irrational demand information as much as possible, through the system based on the historical demand statistical function calculation, output demand statistics forecast, which provides data support for enterprises to jointly formulate inventory strategy. For the joint inventory management point laid a solid foundation. The joint inventory management is changed from simple cost reduction, based on a certain level of service and customer satisfaction balance mechanism, and the concrete verification from theory and technology to practical application is carried out, which proves that the strategy is effective and executable. It has certain reference significance to other production bases. Finally, according to the research results of this paper, the paper analyzes the missing parts, and puts forward some tentative ideas for the future research direction.
【学位授予单位】:上海交通大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;F416.4
本文编号:2422925
[Abstract]:This paper is a study of multilevel inventory management based on production base. Firstly, this paper analyzes the customers of M Company's Asia Pacific Medical production Base, and determines that the research object is a three-level supply chain inventory model which includes manufacturers, distributors, retailers and terminal customers. Combined with the characteristics of the products supplied by the medical production base and the production organization, this paper expounds the current "push" supply chain mode, which is driven by demand forecasting. By analyzing the accuracy of demand prediction, it is found that the distortion of demand information leads to low inventory turnover and high stagnant inventory rate. Then, drawing the model of inventory structure and warehouse point of supply chain, locking the decentralized inventory management strategy is the root cause of the distortion of demand information, at the same time, the information system is imperfect and inefficient information transmission. The lack of effective communication channels and standard processes exacerbates the distortion of information. Based on the concrete analysis of the root causes, this paper proposes to strengthen the information sharing and cooperation among the supply chain node enterprises by establishing the data sharing platform and applying the joint inventory management strategy. The inventory management is transformed into the link and bridge between the enterprises, and the joint management strategy based on the production base is implemented. Through the establishment of GDMR data platform, the timely and effective transmission of information among the node enterprises is realized, and the integration of the effective demand information of the downstream distribution network node in the production base is enhanced. At the same time, in order to eliminate the distortion of rational and irrational demand information as much as possible, through the system based on the historical demand statistical function calculation, output demand statistics forecast, which provides data support for enterprises to jointly formulate inventory strategy. For the joint inventory management point laid a solid foundation. The joint inventory management is changed from simple cost reduction, based on a certain level of service and customer satisfaction balance mechanism, and the concrete verification from theory and technology to practical application is carried out, which proves that the strategy is effective and executable. It has certain reference significance to other production bases. Finally, according to the research results of this paper, the paper analyzes the missing parts, and puts forward some tentative ideas for the future research direction.
【学位授予单位】:上海交通大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;F416.4
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