發(fā)布時間：2018-07-21 15:40

【摘要】：目前,物流產(chǎn)業(yè)已發(fā)展為我國國民經(jīng)濟的支柱產(chǎn)業(yè),而倉儲作為物流過程中的關(guān)鍵一環(huán),在貨物流通中發(fā)揮著重要作用。隨著汽車企業(yè)規(guī)模不斷擴大,汽車產(chǎn)業(yè)集聚區(qū)內(nèi)銷售物流中心對倉儲系統(tǒng)提出了大規(guī)模、高效率集散的要求,因此課題組提出了以高密度敏捷存儲分揀系統(tǒng)為核心的大規(guī)模配送中心設(shè)計方案。本文對高密度敏捷存儲分揀系統(tǒng)的貨道分配和入庫優(yōu)化問題進(jìn)行了研究,具有較高的實用價值。(1)介紹了高密度敏捷存儲分揀系統(tǒng)的組成和功能,提出了均衡出庫初始貨道分配的優(yōu)化目標(biāo),并建立了相應(yīng)模型。采用實數(shù)編碼方式設(shè)計了遺傳算法,以某配送中心的均衡出庫信息為例,按照不同權(quán)重組合,對貫通式貨架的貨道進(jìn)行了優(yōu)化分配,得到了優(yōu)化結(jié)果并分析和對比,驗證了算法的有效性。(2)在遺傳算法基礎(chǔ)上設(shè)計了模擬退火遺傳算法,將模擬退火遺傳算法和遺傳算法的優(yōu)化結(jié)果進(jìn)行了對比,證明了改進(jìn)后的算法具有更強搜索能力和收斂速度。(3)提出了規(guī)律出庫初始貨道分配的優(yōu)化目標(biāo),建立了模型。以某配送中心三天和五天的規(guī)律出庫信息為例,分別對貫通式貨架的貨道分配進(jìn)行了優(yōu)化并得到了優(yōu)化結(jié)果。詳細(xì)對比和分析了優(yōu)化結(jié)果,證明了三天與五天的優(yōu)化結(jié)果表現(xiàn)出相同的規(guī)律,驗證了算法的通用性和有效性。(4)確定了入庫計劃優(yōu)化的優(yōu)化目標(biāo)并建立了數(shù)學(xué)模型。以某配送中心的出入庫信息為例,按照"只能提前,不能延后"的入庫原則,采用遺傳算法對入庫計劃進(jìn)行調(diào)整,得到了優(yōu)化結(jié)果。通過優(yōu)化結(jié)果與原入庫計劃的對比,證明了優(yōu)化后入庫計劃的優(yōu)良表現(xiàn),驗證了算法的有效性。
[Abstract]:At present, logistics industry has developed into the pillar industry of our national economy, and warehousing, as a key link in the process of logistics, plays an important role in the circulation of goods. With the continuous expansion of the scale of automobile enterprises, the sales and logistics center in the automobile industry agglomeration area has put forward the requirements of large-scale, high-efficiency distribution of warehousing system. Therefore, the design scheme of large-scale distribution center based on high density agile storage and sorting system is put forward. In this paper, the distribution and storage optimization of high density agile storage sorting system is studied, which is of great practical value. (1) the composition and function of high density agile storage sorting system are introduced. The optimal target of initial cargo distribution is put forward and the corresponding model is established. The genetic algorithm is designed by using real number coding method. Taking the equilibrium information of a distribution center as an example, according to the different weight combinations, the optimal distribution of the through shelf is carried out, and the optimized results are obtained, and the results are analyzed and compared. The effectiveness of the algorithm is verified. (2) simulated annealing genetic algorithm is designed on the basis of genetic algorithm, and the optimized results of simulated annealing genetic algorithm and genetic algorithm are compared. It is proved that the improved algorithm has stronger searching ability and convergence speed. (3) the optimization target of initial cargo path assignment is proposed and the model is established. Taking the information of three days and five days as an example, the distribution of through shelves is optimized and the optimization results are obtained. The optimization results of three days and five days are proved to be the same, and the generality and validity of the algorithm are verified. (4) the optimization goal of the plan of storage is determined and the mathematical model is established. Taking the incoming and outgoing information of a distribution center as an example, according to the principle of "can only be advanced, can not be delayed", genetic algorithm is used to adjust the storage plan, and the optimized result is obtained. Through the comparison between the optimization results and the original storage plan, the excellent performance of the optimized storage plan is proved, and the validity of the algorithm is verified.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TH692.3

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1 李翔;高密度敏捷存儲分揀系統(tǒng)初始貨道分配與入庫計劃優(yōu)化研究[D];山東大學(xué);2017年

2 柳鳳娟;板坯庫入庫計劃模型與算法研究及應(yīng)用[D];大連理工大學(xué);2010年

3 張軍強;熱軋板坯庫優(yōu)化管理系統(tǒng)開發(fā)與應(yīng)用研究[D];大連理工大學(xué);2005年

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本文編號：2135989