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论文编号：	10703
作者编号：	2120163287
上传时间：	2018/12/8 23:42:53
中文题目：	T企业基于SVM分类的备件库存控制研究
英文题目：	Research on Spare Parts Inventory Control Based on SVM Classification
指导老师：	赵福厚
中文关键字：	备件管理；支持向量机；库存模型；决策树
英文关键字：	Spare parts management;Support Vector Machines;Inventory Model;Decision Tree
中文摘要：	制造业是我国工业发展的主要支柱，随着我国经济改革的深化，制造业正在处于转型升级的关键阶段。其中，钢铁、石油、汽车等传统制造业对我国基础设施建设和经济增长尤为重要，而这些行业的发展和转型成了现阶段需要重点关注的问题。大型制造业有着资产庞大、运营成本较高的特点，其中，生产设备、备件、物资、原材料等固定资产占了资产中很大的比例。于是，降低库存的成本，就能为企业降低运营成本，增加更多的流动资金。 库存积压是目前我国制造业面临的一个重点难题，其中，备件库存是其中重要的一项。由于不同生产设备对于备件的需求量不同，并且同一设备的备件更换频率也不一样，所以造成了两种问题，一方面，有的备件常常缺货导致设备停机；另一方面，有的非易损件长期积压在仓库中，占用了大量流动资金，基于这两类问题，本文研究了基于备件分类的库存管理理论，从备件的不同种类入手，分析应对不同类别备件的库存模型。 论文首先分析了T企业的备件管理现状，根据备件库存管理的数据，分析了管理的现状及存在的问题。然后，研究了备件库存的分类问题，应用支持向量机对备件的分类问题进行优化，将备件分为战略备件、杠杆备件、瓶颈备件和一般备件四类，进而提出相对应的库存管理模型，其目的在于对于不同重要性、不同成本的备件分别管理，减少库存成本，提高供应效率。 本文应用支持向量机的算法对备件进行分类，解决了以往使用ABC分类法等定性分析法的不足，使备件的分类更加精确，并且利用决策树模型分析备件的属性，给备件的分类提供了更为准确的数据支持。基于备件的分类，本文提出了相应库存控制方法，将分类问题与库存控制问题关联在一起进行研究，进行总体决策，弥补了以往单独研究备件需求问题和分类问题的不足。 本文以T企业备件管理为例，经过研究得出了T企业备件库存控制的方法。此类库存管理问题大量的存在于目前的制造业当中，本论文希望可以在T企业备件管理优化模式的基础上，对其他同类型的企业提供有价值的参考。
英文摘要：	Manufacturing is the main pillar of China's industrial development. With the deepening of China's economic reform, manufacturing is at a critical stage of transformation and upgrading. Among them, traditional manufacturing industries such as steel, petroleum, and automobiles are particularly important for China's infrastructure construction and economic growth, and the development and transformation of these industries have become issues that need to be focused at this stage. Large-scale manufacturing has the characteristics of large assets and high operating costs. Among them, fixed assets such as production equipment, spare parts, materials and raw materials account for a large proportion of assets. Therefore, reducing the cost of inventory can reduce operating costs and increase liquidity for enterprises. Inventory backlog is a key problem facing China's manufacturing industry. Among them, spare parts inventory is an important one. Since different production equipments have different requirements for spare parts and the frequency of replacement of spare parts of the same equipment is different, two problems are caused. On the one hand, some spare parts are often out of stock and cause equipment to be shut down; on the other hand, some are not easy. Based on these two types of problems, this thesis studies the inventory management theory based on spare parts classification, and starts from different types of spare parts to analyze the inventory models of different types of spare parts. The thesis first analyzes the current situation of spare parts management of T enterprises, and analyzes the current status and existing problems of the management based on the data of spare parts inventory management. Then, the classification problem of spare parts inventory was studied. The support vector machine was used to optimize the classification of spare parts. The spare parts were divided into four types: strategic spare parts, lever spare parts, bottleneck spare parts and general spare parts. On the basis of the classification of spare parts, the corresponding inventory management model is proposed for the four types of spare parts. The purpose is to manage the spare parts of different importance and different cost separately, reduce the inventory cost and improve the supply efficiency. In this thesis, the algorithm of support vector machine is used to classify spare parts, which solves the deficiencies of previous qualitative analysis methods such as ABC classification, which makes the classification of spare parts more precise, and uses decision tree model. Analysis of the properties of spare parts provides more accurate data support for the classification of spare parts. Based on the classification of spare parts, this thesis proposes a corresponding inventory control method, which combines the classification problem with the inventory control problem to conduct research and make overall decisions, which makes up for the shortcomings of the previous research on spare parts demand and classification problems. This thesis takes T enterprise spare parts management as an example, and has obtained the method of T enterprise spare parts inventory control through research. This kind of inventory management problem exists in the current manufacturing industry. This thesis hopes to provide valuable reference to other enterprises of the same type on the basis of T enterprise spare parts management optimization model.
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