本文選題：汽車備件庫存 + 魯棒控制　； 參考：《吉林大學》2014年碩士論文

【摘要】：全球經(jīng)濟的一體化和市場化在不斷的發(fā)展和深化，而且伴隨著信息技術(shù)的高速發(fā)展，經(jīng)濟呈現(xiàn)了更多的復雜性，特別是進入20世紀90年代以來，現(xiàn)代企業(yè)管理的模式發(fā)生了巨大改變，，供應鏈管理的模式已經(jīng)成為當下企業(yè)主要的管理方式，可以說在國際范圍內(nèi)都是理論和實踐的一個熱點。在供應鏈管理模式下，企業(yè)之間的合作顯得非常重要，分銷中心是供應鏈管理中企業(yè)合作時一個十分重要的組成部分，庫存控制使產(chǎn)品以最合適的時間進入市場，分銷中心是客戶和制造商之間是紐帶，可以說分銷系統(tǒng)是供應鏈管理的一個非常重要的環(huán)節(jié)，它是決定供應鏈競爭能力的最關鍵因素之一。中國的汽車工業(yè)在不斷的發(fā)展，2012年，中國的汽車產(chǎn)銷量已經(jīng)突破1200萬，排名世界第一，汽車工業(yè)在不斷的發(fā)展，這樣才能滿足不斷增長的需求，而汽車備件作為汽車工業(yè)的基礎，支撐汽車工業(yè)發(fā)展。但是之前的庫存控制研究大部分假定客戶需求是確定的，伴隨著時代的發(fā)展，顯然已經(jīng)不符合實際情況，客戶需求個性化和多樣化都越來越明顯，因此，需求不確定條件下的汽車備件的庫存控制問題研究不僅具有理論意義，而且還具有一定的實踐指導價值。 本文在對庫存控制國內(nèi)外文獻總結(jié)的基礎上，根據(jù)需求是否確定對庫存控制模型進行分類，魯棒控制一直是在研究不確定問題時非常有效的方法，本文將魯棒控制理論應用與庫存控制中，建立了需求不確定下的庫存魯棒控制模型。核心部分第三章主要針對某一地區(qū)，有一個分銷中心和多個零售商組成的地區(qū)簡單分銷系統(tǒng)的庫存控制問題，首先用灰色預測系統(tǒng)進行了預測，針對預測結(jié)果建立庫存控制模型，以獨立決策時成本優(yōu)化模型證明控制模型的有效性，并結(jié)合算例驗證了成本模型的有效性，分析了訂貨量在什么情況下對分銷中心成本的影響程度最小，這樣就綜合考慮了魯棒模型的成本和穩(wěn)定性。第四章是針對一個地區(qū)有制造商、分銷中心和零售商組成的多級庫存系統(tǒng)進行研究，結(jié)合第三章進行的需求預測，考慮需求對多級庫存各個節(jié)點的影響，在成本模型中加入了罰函數(shù)，將計算難以確定的缺貨成本轉(zhuǎn)化為罰函數(shù)，建立了聯(lián)合決策下的多級庫存控制模型，通過計算各個節(jié)點的訂貨量找到最優(yōu)的庫存控制量，也用算例驗證了模型了有效性。結(jié)合一汽橋車有限公司備品部的實例，建立模型并進行求解，進一步驗證了模型的實用性，希望能對其它汽車制造公司的備件庫存控制有一定的指導意義。
[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.
【學位授予單位】：吉林大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F426.471;F224;F253

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