汽車(chē)零部件雙向物流路徑優(yōu)化模型及仿真研究
[Abstract]:In recent years, with the decline of automobile sales and net profit, the pressure of automobile manufacturers to pursue efficiency and reduce costs is bound to release to the logistics link of automobile industry chain. As the most important part in the optimization of automobile industry chain, the logistics of auto parts supply and recovery has always been the hot spot of domestic and foreign experts. However, for a long time, parts supply logistics and defective product recovery logistics in China have been separated, which often lead to the parallel development of various logistics services, duplication of logistics links and waste of resources allocation, which seriously restrict the healthy development of the automobile industry. Therefore, this paper discusses the expansion of recovery logistics module on the basis of the original supply logistics network, and introduces the idea of two-way logistics into automobile parts logistics. On the basis of summing up the domestic and foreign mature automobile parts logistics models, this paper compares and analyzes the advantages and disadvantages of the existing supply logistics and recovery logistics, and points out that the two-way logistics model is the new direction of automobile parts logistics development. At the same time, the paper introduces the basic model of automobile parts purchasing logistics and recovery logistics route optimization in detail. Through the optimization and redesign of the original supply logistics route optimization model, the key to realize the two-way logistics is the arrangement and scheduling of the pick-up route. In particular, a scientific and reasonable path optimization scheme can effectively control the cost of small batch and multi-batch logistics. In this paper, the two-way logistics path optimization model of automobile parts is abstracted as VPRSPDTW model with soft time window. Compared with the traditional path optimization model, this model adds both delivery requirement constraints and time window constraints to make it more close to practical application. Based on the advantages of genetic algorithm, Tabu algorithm and simulated annealing algorithm, a hybrid genetic Tabu simulated annealing algorithm suitable for VRPSPDTW model is designed. By solving an example, the following two aspects are compared and analyzed: first, by comparing with Tabu algorithm and simulated annealing algorithm, the optimization effect and performance under different algorithm strategies are analyzed, and the number of vehicles in use is pointed out. In distribution distance optimization, hybrid genetic Tabu simulated annealing algorithm has obvious advantages over Tabu algorithm and simulated annealing algorithm. Secondly, under different logistics strategies, the optimization effects of unidirectional logistics and two-way logistics are compared. It is pointed out that the bi-directional logistics model is effective in reducing the logistics cost and improving the utilization ratio of logistics resources, which verifies the validity and scientific nature of the algorithm and model.
【學(xué)位授予單位】:杭州電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:F426.471;F252
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 于淼;;淺析汽車(chē)零部件采購(gòu)物流模式[J];物流工程與管理;2014年04期
2 杜宜文;;第三方物流模式與運(yùn)作研究[J];知識(shí)經(jīng)濟(jì);2010年14期
3 謝和業(yè);王恒鵬;蔡文學(xué);;廣州本田汽車(chē)零部件采購(gòu)物流改進(jìn)設(shè)計(jì)[J];物流技術(shù);2008年11期
4 陸薇;;基于TRIZ理論的RFID技術(shù)在汽車(chē)物流及其供應(yīng)鏈管理中的應(yīng)用研究[J];物流技術(shù);2008年10期
5 殷鳳琴;秦奮濤;;遺傳算法算子優(yōu)化的應(yīng)用[J];現(xiàn)代計(jì)算機(jī)(專(zhuān)業(yè)版);2008年08期
6 武亞麗;段富;;免疫算法在物流車(chē)輛優(yōu)化調(diào)度中的應(yīng)用[J];微計(jì)算機(jī)信息;2007年27期
7 蔣嘯冰;;我國(guó)汽車(chē)制造業(yè)零部件入廠物流模式研究[J];物流技術(shù)與應(yīng)用;2007年05期
8 胡大偉;陳誠(chéng);郭曉汾;;帶集貨和配送的多站點(diǎn)VRP優(yōu)化算法研究[J];數(shù)學(xué)的實(shí)踐與認(rèn)識(shí);2007年02期
9 張蕾;;循環(huán)取貨方式的條件分析及實(shí)施建議[J];中外物流;2007年Z1期
10 尹傳忠;卜雷;蒲云;趙宜;;帶回送和時(shí)間窗的車(chē)輛路徑問(wèn)題的模型及算法[J];西南交通大學(xué)學(xué)報(bào);2006年03期
相關(guān)博士學(xué)位論文 前1條
1 曹二保;物流配送車(chē)輛路徑問(wèn)題模型及算法研究[D];湖南大學(xué);2008年
相關(guān)碩士學(xué)位論文 前8條
1 任才杰;汽車(chē)逆向物流回收的經(jīng)濟(jì)分析與發(fā)展策略研究[D];湖北工業(yè)大學(xué);2014年
2 蒙培富;汽車(chē)零部件逆向物流網(wǎng)絡(luò)優(yōu)化設(shè)計(jì)[D];上海師范大學(xué);2014年
3 曹兵;基于第三方物流服務(wù)提供商的某汽車(chē)零部件VMI模式與實(shí)施策略研究[D];復(fù)旦大學(xué);2013年
4 張江英;我國(guó)汽車(chē)零部件供應(yīng)物流運(yùn)行模式研究[D];長(zhǎng)安大學(xué);2010年
5 陸明;基于精益思想的汽車(chē)制造企業(yè)零部件采購(gòu)物流的研究[D];天津大學(xué);2009年
6 曾斌;汽車(chē)制造企業(yè)逆向物流網(wǎng)絡(luò)優(yōu)化設(shè)計(jì)研究[D];西南財(cái)經(jīng)大學(xué);2009年
7 張程;3PL在汽車(chē)零部件企業(yè)進(jìn)口料件管理中的運(yùn)用研究[D];華中科技大學(xué);2007年
8 周森;基于遺傳算法的物流運(yùn)輸中的車(chē)輛路徑問(wèn)題研究[D];對(duì)外經(jīng)濟(jì)貿(mào)易大學(xué);2006年
,本文編號(hào):2276809
本文鏈接:http://sikaile.net/gongshangguanlilunwen/2276809.html