發(fā)布時(shí)間：2018-02-16 19:26

  本文關(guān)鍵詞： 第三方物流配送中心 選址模型 雙層規(guī)劃 三角模糊數(shù) 遺傳算法　出處：《蘭州交通大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：物流已成為現(xiàn)代市場(chǎng)經(jīng)濟(jì)中的熱門(mén)行業(yè)，成為各商家追逐的最新利益源泉，鑒于此，出現(xiàn)了專(zhuān)門(mén)從事物流的第三方物流企業(yè)。在物流網(wǎng)絡(luò)中，配送中心連接著供貨點(diǎn)和需求點(diǎn)，是兩者之間的橋梁，搞好配送中心的選址將對(duì)物流系統(tǒng)作用的發(fā)揮乃至物流經(jīng)濟(jì)效益的提高產(chǎn)生重要的影響。隨著經(jīng)濟(jì)的快速發(fā)展，物流需求的高速增長(zhǎng)，為了更好地促進(jìn)第三方物流企業(yè)的經(jīng)濟(jì)效益，，進(jìn)一步降低社會(huì)物流成本，配送中心的選址規(guī)劃迫在眉睫。 本文深入研究了第三方物流配送中心選址問(wèn)題的背景、目的、意義，以及國(guó)內(nèi)外現(xiàn)狀，對(duì)配送中心選址問(wèn)題的影響因素、遵循的原則等方面進(jìn)行論述，對(duì)比選址問(wèn)題常用方法的優(yōu)缺點(diǎn)，選擇了啟發(fā)式算法。分析了第三方物流配送中心在物流供應(yīng)鏈中的作用，設(shè)計(jì)了配送中心選址的雙層規(guī)劃模型。針對(duì)現(xiàn)實(shí)選址問(wèn)題中，物流的需求量準(zhǔn)確數(shù)值很難得到，本文運(yùn)用模糊數(shù)學(xué)的原理，用三角模糊數(shù)表示客戶(hù)的模糊需求量。雙層規(guī)劃是多目標(biāo)規(guī)劃的一種，在現(xiàn)實(shí)生活中具有很強(qiáng)的應(yīng)用價(jià)值，能夠很好地表述配送中心在供應(yīng)鏈中的關(guān)系，不僅考慮了第三方物流決策者的核心利益，而且充分考慮了配送中心服務(wù)對(duì)象的核心利益，有利于處理配送中心和客戶(hù)這對(duì)矛盾。論文對(duì)雙層規(guī)劃模型的求解理論進(jìn)行了論述，選擇非數(shù)值優(yōu)化的方法。在進(jìn)行智能算法選擇時(shí)，通過(guò)對(duì)比常用智能算法的優(yōu)缺點(diǎn)，遺傳算法具有較好的魯棒性、不受函數(shù)特性制約等優(yōu)點(diǎn)，因此本文選擇了遺傳算法，并設(shè)計(jì)了基于遺傳算法求解雙層規(guī)劃模型的方法。 本文通過(guò)分析第三方物流配送中心選址的特點(diǎn)，設(shè)計(jì)了模糊需求下第三方物流配送中心選址的雙層規(guī)劃模型，進(jìn)而運(yùn)用模糊數(shù)學(xué)的原理對(duì)模型進(jìn)行了清晰化處理，然后設(shè)計(jì)了基于遺傳算法求解雙層規(guī)劃模型的求解方法，最后通過(guò)算例驗(yàn)證了模型及求解算法的有效性，為第三方物流企業(yè)配送中心的選址工作提供一些參考。
[Abstract]:Logistics has become a hot industry in the modern market economy, has become the latest source of interest, the businessmen chase in view of this, the third party logistics enterprise specialized in logistics. In the logistics network, distribution center is connected with the supply and demand point, is the bridge between the two, good location of the distribution center will have an important the effect and economic benefits of logistics logistics system function improved. With the rapid development of economy, the rapid growth of logistics demand, in order to better promote the economic benefit of the third party logistics enterprises, to further reduce the cost of social logistics, distribution center location planning imminent.
This paper studies the third party logistics distribution center location of the background, purpose, significance, and domestic and international current situation, influencing factors of the location of the distribution center, on the principles discussed, comparing the advantages and disadvantages of common methods of location problem, the heuristic algorithm is analyzed. The role of third party logistics distribution center in supply chain, design a bi level programming model of distribution center location. According to the reality of the location problem, the accurate value of logistics demand are difficult to obtain, this paper applies the principle of fuzzy mathematics, fuzzy demand of customers represented by triangular fuzzy number. The bilevel programming is a kind of multi-objective programming, and has application value strong in real life, can well express distribution center in the supply chain, not only consider the core interests of the third party logistics decision makers, and fully consider the distribution The core interests of the service object is sent to the center, the contradiction to distribution centers and customers. This paper discusses the theory of Solving Bilevel Programming Model, selection method of non numerical optimization. In the intelligent algorithm, by comparing the advantages and disadvantages of the commonly used intelligent algorithm, genetic algorithm has better robustness and is not affected by function characteristics restrict the advantages, so this paper chooses genetic algorithm, and design method of genetic algorithm for Solving Bilevel Programming Based on the model.
In this paper, through the analysis of the third party logistics distribution center location characteristics, design the location bi level programming model of the three party logistics distribution center under fuzzy demand, and then use the fuzzy mathematics principle of clear processing to the model, and then design the solving method of genetic algorithm to solve the bi level programming model based on an example verifies effectively the model and algorithm, and provide some reference for the distribution center of the third party logistics enterprise work site.

【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：F259.23;F224

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本文編號(hào)：1516262