【作者】 杨建刚；

【导师】 杨将新； 曹衍龙；

【作者基本信息】 浙江大学 ， 机械制造及其自动化， 2005， 硕士

【摘要】 库存管理是现代企业管理领域的研究热点之一,是企业资源决策和提高核心竞争力的有效手段。论文在分析经典库存管理理论和供应链环境下库存管理理论的基础上,提出了广义库存管理模式,并建立了库存控制模型,提出了供应商综合评价模型的指标体系。最后研究了库存管理的体系结构及其相关技术,构建了基于广义库存管理模式的库存管理系统框架。 第一章分析了库存管理的目的与意义以及库存管理信息系统的研究现状。在此基础上,给出论文的主要工作和总体框架结构。 第二章介绍了数据挖掘的概念以及基于神经网络算法的数据挖掘技术。 第三章分析了传统库存管理理论和供应链环境下的库存管理理论,在此基础上建立了基于供应链管理的广义库存管理模式。 第四章分析了数据挖掘在库存管理中的应用,建立了广义库存管理控制模型和供应商评价模型。最后利用人工神经网络算法对基于上述模型建立的数据挖掘库进行数据挖掘,得出相应结果。 第五章详细阐述了库存管理系统的总体方案、系统功能和模块,从而构建了广义库存管理系统的系统框架。最后给出了部分运行实例与界面。 第六章对论文主要工作进行了总结,并对未来研究工作进行了展望。更多还原

【Abstract】 The inventory management based on the supply chain is a hot research topic of the modern enterprise management. It is means of improving the core competition. This thesis first analyzes the classical theory of inventory management and theory of inventory management in the supply chain environment. Then the generalized mode of inventory management based on supply chain is put forward. Based on this mode, the model of inventory control and index system of supplier evaluation is constituted. On the basis of research on architecture of inventory management, modeling & development of inventory management system based on generalized mode of Inventory Management is put forward and developed.In the first chapter, objective and significance of the inventory management are analyzed. On the basis of the present research situation of inventory management, main contents and general structure scheme of this thesis are presented.In the second chapter, the conception of data mining is introduced. Technology of data mining based on artificial neural networks is presented.In the third chapter, the classical theory of inventory management and theory of inventory management in the supply chain environment are analyzed. The generalized mode of inventory management is put forward.In the fourth chapter, application of data mining in the inventory management is analyzed. The model of inventory control and model of supplier evaluation is constituted. Then, using of data mining based on artificial neural networks in database based on these two models, results of forecast and evaluation are given.The inventory management system frame is established in the fifth chapter. System overall scheme, system function and modules are described. At last, the interface of system frame is given.Main conclusions of this thesis and the future research have been summarized in the end.更多还原