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  本文關(guān)鍵詞： 逆向物流系統(tǒng) 報廢汽車回收 優(yōu)化 LRIP 仿真　出處：《長安大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著中國社會經(jīng)濟(jì)的發(fā)展，中國汽車工業(yè)得到了極速發(fā)展，截止2013年底汽車保有量為1.37億，而2013年中國汽車銷售量為2198.4萬輛，銷量較2012年增長13.9%。雖然說目前中國報廢汽車的回收率僅為3%左右遠(yuǎn)低于歐美日本等發(fā)達(dá)國家的6~8%，但是隨著中國環(huán)保法規(guī)及報廢汽車相關(guān)法律法規(guī)的健全，汽車的報廢會趨于正規(guī)化，所以報廢汽車行業(yè)需要一個相對完善的逆向物流網(wǎng)絡(luò)。健全的逆向物流網(wǎng)絡(luò)可以以最小的成本為報廢汽車的回收、拆解、再制造及再制造品的銷售提供強有力的支持。本文將回收中心的選址、回收路徑優(yōu)化及回收中心庫存策略選擇問題進(jìn)行了集成，構(gòu)成了報廢汽車回收逆向物流系統(tǒng)LRIP（Location-Routing-Inventory Problem）。 本文首先論述了國內(nèi)外關(guān)于逆向物流及報廢汽車回收網(wǎng)絡(luò)的研究內(nèi)容，然后分析了報廢汽車回收逆向物流網(wǎng)絡(luò)系統(tǒng)的特征、結(jié)構(gòu)類型、系統(tǒng)構(gòu)成及運營模式。其次在前人研究的基礎(chǔ)上提出了報廢汽車回收的LRIP。LRIP屬于NP難問題，本文提了用遺傳算法和節(jié)約算法組合的啟發(fā)式算法進(jìn)行求解。第三，就報廢汽車回收LRIP所要解決的問題建立了數(shù)學(xué)模型，，并基于結(jié)構(gòu)化的建模方法構(gòu)建了仿真優(yōu)化概念模型，又依據(jù)概念模型和ExtendSim軟件建立了仿真優(yōu)化模型。最后以某汽車廠在某省的回收物流系統(tǒng)構(gòu)建為實例，驗證了該仿真優(yōu)化模型的可行性，進(jìn)而說明了基于ExtendSim的報廢汽車回收逆向物流系統(tǒng)仿真優(yōu)化模型在解決隨機回收量、隨機車輛運輸時間條件下動態(tài)逆向物流系統(tǒng)LRIP的有效性。
[Abstract]:With the development of China's social economy, China's auto industry has developed at a very high speed. As of end of 2013, the number of cars owned was 137 million, compared with twenty-one million nine hundred and eighty-four thousand vehicles sold in 2013. Sales volume increased by 13.9% over 2012. Although the recovery rate of scrap cars in China is only about 3% at present, it is far lower than that in developed countries such as Europe, America and Japan, but with the sound of China's environmental protection laws and regulations and related laws and regulations on end-of-life cars, The scrap of automobiles tends to be formalized, so the scrap automobile industry needs a relatively complete reverse logistics network. A sound reverse logistics network can be used to recycle and dismantle end-of-life vehicles at the lowest cost. This paper integrates the selection of the location of the recycling center, the optimization of the recovery path and the selection of inventory strategy of the recycling center, and constitutes the reverse logistics system LRIP(Location-Routing-Inventory problem. This paper first discusses the research contents of reverse logistics and scrap vehicle recycling network at home and abroad, and then analyzes the characteristics and structure types of the reverse logistics network system for scrap vehicle recycling. Secondly, based on the previous research, it is proposed that the LRIP.LRIP of scrap car recycling belongs to NP-hard problem, and the heuristic algorithm combined with genetic algorithm and economization algorithm is proposed to solve the problem in this paper. Third, A mathematical model is established to solve the problem of recycling LRIP of end-of-life vehicles, and the conceptual model of simulation optimization is constructed based on the structured modeling method. Based on the concept model and ExtendSim software, the simulation optimization model is established. Finally, the feasibility of the simulation optimization model is verified by the example of the recycling logistics system in a certain province of a car factory. Furthermore, the effectiveness of the simulation optimization model of reverse logistics system based on ExtendSim in solving the problem of dynamic reverse logistics system (LRIP) under the condition of random recovery amount and stochastic vehicle transportation time is illustrated.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.9;F426.471;F713.2;F224

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本文編號：1549150