周转件航材库存系统的优化研究

发布时间：2018-05-23 09:58

本文选题：航材库存控制 + 需求预测　；参考：《中国民航大学》2015年硕士论文

【摘要】：随着我国民用航空业的蓬勃发展,航材在飞行保障中起着至关重要的作用。目前,航材备件的不足与库存积压问题正在日益困扰着正在发展的我国民航业。如何科学合理的管理航材库存系统,以最小的库存成本保障航空公司的正常运营,是一个严峻的问题。因此,本课题针对航材库存系统的优化研究是具有现实意义的。文章首先阐述了我国航空公司航材备件管理的现状,对比国外发达国家先进的航材管理提出了我国航材库存管理存在的主要问题并进行了分析,说明了工作重点以及研究的目的。在研究和归纳现有的文献对航材备件库存系统研究的基础上,搜集某航空公司相关航材的大量故障数据,并用SPSS统计学软件对数据进行分析,预测故障的分布模型并进行航材的需求预测。进而运用(Q,R)订货模型确定最优订货量。最后通过三方面对库存管理进行了优化。第一,考虑季节指数的影响,确定更加精确的航材采购数量,降低采购成本。第二,从优化备件维修时间资源的角度考虑,主要是优化维修计划,确定合理的维修间隔期。提高维修效率和备件的可用度,降低维修成本。第三,利用最小方差控制理论解决航材库存优化问题,通过理论分析、使用matlab工具进行了系统建模和库存最小方差控制仿真研究。研究表明采用最小方差控制可以控制库存量方差在较低的水平上,从而达到减小维修管理成本的目的。
[Abstract]:With the vigorous development of civil aviation industry in China, aviation materials play a vital role in flight support. At present, the shortage of spare parts and the backlog of stock are increasingly puzzling the developing civil aviation industry in China. How to manage air material inventory system scientifically and reasonably and ensure the normal operation of airline with minimum inventory cost is a serious problem. Therefore, it is of practical significance to study the optimization of air material inventory system. In this paper, the present situation of aviation spare parts management in Chinese airlines is first expounded, and the main problems existing in the inventory management of aviation materials in China are put forward and analyzed compared with the advanced aviation materials management in developed countries. The emphasis of the work and the purpose of the research are explained. On the basis of researching and summarizing the existing literature on the spare parts inventory system of aviation materials, the paper collects a large number of fault data of aviation materials related to an airline, and analyzes the data with SPSS statistical software. Forecast the fault distribution model and forecast the demand of aviation materials. Furthermore, the optimal order quantity is determined by using the QR) ordering model. Finally, the inventory management is optimized in three aspects. First, consider the influence of seasonal index, determine the more accurate quantity of air materials, reduce the cost of procurement. Second, from the point of view of optimizing spare parts maintenance time resources, it is mainly to optimize the maintenance plan and determine the reasonable maintenance interval. Improve maintenance efficiency and spare parts availability, reduce maintenance costs. Thirdly, the minimum variance control theory is used to solve the problem of inventory optimization. Through theoretical analysis, the system modeling and inventory minimum variance control simulation are studied by using matlab tool. The research shows that the minimum variance control can control the inventory variance at a lower level, thus reducing the maintenance management cost.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：V267

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