基于物联网的电力物资库存管理优化研究

发布时间：2018-06-28 13:49

本文选题：物联网 + 电力企业　；参考：《华北电力大学》2014年硕士论文

【摘要】：本文绪论部分对于库存管理研究现状、物联网研究现状以及物联网技术应用于供应链库存管理的研究现状做了分析,进而对电力企业库存管理的相关研究做了介绍,并对信息技术在电力企业库存管理中的应用做描述,为基于物联网的电力企业库存管理做铺垫。理论基础研究介绍了物联网理论和库存预测模型,针对电力企业库存管理的特点,应用物联网特性,设计适合电力企业库存管理实际的物联网系统体系架构,对感知层、网络层以及应用层三层体系架构进行设计；并介绍了用于库存预测模型的神经网络预测模型及指数平滑预测模型的理论基础。物联网解决方案研究部分首先对仓储管理体系的业务流程进行整合分析,进而提出基于物联网的针对电力企业库存管理各个环节的可行性方案；电力物资库存管理流程优化研究部分则是结合物联网的特点,对现有电力物资库存管理流程进行优化,制定了物联网库存管理模型的具体实施流程。库存预测模型部分,研究了用于库存预测模型的神经网络预测模型及指数平滑预测模型的具体实施,并用具体算例对预测模型进行验证。最后对物联网技术在电网物资库存管理的应用进行总结,指出现有工作研究的不足之处,并提出以后改进的研究方向。
[Abstract]:In the introduction part of this paper, the research status of inventory management, Internet of things and the application of Internet of things technology in supply chain inventory management are analyzed, and then the related research on inventory management of electric power enterprises is introduced. The application of information technology in the inventory management of electric power enterprises is described, which lays the groundwork for the inventory management of electric power enterprises based on the Internet of things. This paper introduces the theory of Internet of things and inventory prediction model. According to the characteristics of inventory management in electric power enterprises, applying the characteristics of Internet of things, the system architecture of Internet of things, which is suitable for the actual inventory management of electric power enterprises, is designed, and the perceptual layer is designed. The three-layer architecture of network layer and application layer is designed, and the theoretical basis of neural network forecasting model and exponential smoothing prediction model for inventory prediction model is introduced. In the research part of the solution of the Internet of things, the business process of the warehouse management system is integrated and analyzed firstly, and then the feasible scheme for each link of inventory management of electric power enterprise is put forward based on the Internet of things. Based on the characteristics of the Internet of things, the paper optimizes the current inventory management process of electric power materials, and formulates the concrete implementation flow of the inventory management model of the Internet of things. In the part of inventory forecasting model, the implementation of neural network forecasting model and exponential smoothing forecasting model for inventory forecasting model is studied, and the prediction model is verified by concrete calculation examples. Finally, the paper summarizes the application of Internet of things technology in power grid material inventory management, points out the shortcomings of existing research work, and puts forward the research direction of future improvement.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5

【共引文献】