不确定需求条件下汽车备件库存鲁棒控制研究

发布时间：2018-05-29 18:10

本文选题：汽车备件库存 + 鲁棒控制　；参考：《吉林大学》2014年硕士论文

【摘要】：全球经济的一体化和市场化在不断的发展和深化，而且伴随着信息技术的高速发展，经济呈现了更多的复杂性，特别是进入20世纪90年代以来，现代企业管理的模式发生了巨大改变，，供应链管理的模式已经成为当下企业主要的管理方式，可以说在国际范围内都是理论和实践的一个热点。在供应链管理模式下，企业之间的合作显得非常重要，分销中心是供应链管理中企业合作时一个十分重要的组成部分，库存控制使产品以最合适的时间进入市场，分销中心是客户和制造商之间是纽带，可以说分销系统是供应链管理的一个非常重要的环节，它是决定供应链竞争能力的最关键因素之一。中国的汽车工业在不断的发展，2012年，中国的汽车产销量已经突破1200万，排名世界第一，汽车工业在不断的发展，这样才能满足不断增长的需求，而汽车备件作为汽车工业的基础，支撑汽车工业发展。但是之前的库存控制研究大部分假定客户需求是确定的，伴随着时代的发展，显然已经不符合实际情况，客户需求个性化和多样化都越来越明显，因此，需求不确定条件下的汽车备件的库存控制问题研究不仅具有理论意义，而且还具有一定的实践指导价值。本文在对库存控制国内外文献总结的基础上，根据需求是否确定对库存控制模型进行分类，鲁棒控制一直是在研究不确定问题时非常有效的方法，本文将鲁棒控制理论应用与库存控制中，建立了需求不确定下的库存鲁棒控制模型。核心部分第三章主要针对某一地区，有一个分销中心和多个零售商组成的地区简单分销系统的库存控制问题，首先用灰色预测系统进行了预测，针对预测结果建立库存控制模型，以独立决策时成本优化模型证明控制模型的有效性，并结合算例验证了成本模型的有效性，分析了订货量在什么情况下对分销中心成本的影响程度最小，这样就综合考虑了鲁棒模型的成本和稳定性。第四章是针对一个地区有制造商、分销中心和零售商组成的多级库存系统进行研究，结合第三章进行的需求预测，考虑需求对多级库存各个节点的影响，在成本模型中加入了罚函数，将计算难以确定的缺货成本转化为罚函数，建立了联合决策下的多级库存控制模型，通过计算各个节点的订货量找到最优的库存控制量，也用算例验证了模型了有效性。结合一汽桥车有限公司备品部的实例，建立模型并进行求解，进一步验证了模型的实用性，希望能对其它汽车制造公司的备件库存控制有一定的指导意义。
[Abstract]:The integration and marketization of the global economy are developing and deepening, and with the rapid development of information technology, the economy presents more complexity, especially since the 1990s. The mode of modern enterprise management has changed greatly, the mode of supply chain management has become the main management mode of enterprises, it can be said that it is a hot spot in theory and practice in the international scope. In the mode of supply chain management, cooperation between enterprises is very important. Distribution center is a very important part of enterprise cooperation in supply chain management. Inventory control makes products enter the market at the most appropriate time. Distribution center is the link between customer and manufacturer. It can be said that distribution system is a very important link in supply chain management, and it is one of the most important factors to determine the competitive ability of supply chain. China's auto industry is constantly developing. In 2012, China's auto production and sales have exceeded 12 million, ranking first in the world, and the automobile industry is constantly developing, so as to meet the ever-increasing demand. As the basis of automobile industry, automobile spare parts support the development of automobile industry. However, most of the previous inventory control studies assume that customer demand is determined. With the development of the times, it is obvious that the individuation and diversification of customer demand are becoming more and more obvious. The research on inventory control of automobile spare parts under uncertain demand not only has theoretical significance, but also has certain practical guiding value. Based on the summary of domestic and foreign literatures on inventory control, this paper classifies inventory control models according to whether the demand is determined or not. Robust control is always a very effective method in the study of uncertain problems. In this paper, the robust control model of inventory under demand uncertainty is established by applying robust control theory and inventory control. The third chapter focuses on the inventory control problem of a regional simple distribution system composed of a distribution center and several retailers. Firstly, the grey forecasting system is used to predict the inventory control problem. The inventory control model is established according to the prediction results. The effectiveness of the control model is proved by the cost optimization model when independent decision is made, and the effectiveness of the cost model is verified by an example. The influence of order quantity on the cost of distribution center is analyzed, so the cost and stability of the robust model are considered synthetically. The fourth chapter is to study the multi-level inventory system composed of manufacturers, distribution centers and retailers in a region, considering the impact of demand on each node of multi-level inventory, combined with the demand forecast in chapter three. The penalty function is added to the cost model to convert the uncertain cost of stock out into the penalty function, and the multilevel inventory control model under joint decision is established, and the optimal inventory control quantity is obtained by calculating the order quantity of each node. An example is also used to verify the validity of the model. Combined with the example of spare parts department of FAW Bridge car Co., Ltd., the model is established and solved. The practicability of the model is further verified, and it is hoped that the model can be used to guide the spare parts inventory control of other automobile manufacturing companies.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.471;F224;F253

【参考文献】