本文關鍵詞： 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》2014年碩士論文　論文類型：學位論文

【摘要】：物流已成為現(xiàn)代市場經(jīng)濟中的熱門行業(yè)，成為各商家追逐的最新利益源泉，鑒于此，出現(xiàn)了專門從事物流的第三方物流企業(yè)。在物流網(wǎng)絡中，配送中心連接著供貨點和需求點，是兩者之間的橋梁，搞好配送中心的選址將對物流系統(tǒng)作用的發(fā)揮乃至物流經(jīng)濟效益的提高產(chǎn)生重要的影響。隨著經(jīng)濟的快速發(fā)展，物流需求的高速增長，為了更好地促進第三方物流企業(yè)的經(jīng)濟效益，，進一步降低社會物流成本，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題的背景、目的、意義，以及國內(nèi)外現(xiàn)狀，對配送中心選址問題的影響因素、遵循的原則等方面進行論述，對比選址問題常用方法的優(yōu)缺點，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鏈中的作用，設計了配送中心選址的雙層規(guī)劃模型。針對現(xiàn)實選址問題中，物流的需求量準確數(shù)值很難得到，本文運用模糊數(shù)學的原理，用三角模糊數(shù)表示客戶的模糊需求量。雙層規(guī)劃是多目標規(guī)劃的一種，在現(xiàn)實生活中具有很強的應用價值，能夠很好地表述配送中心在供應鏈中的關系，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對象的核心利益，有利于處理配送中心和客戶這對矛盾。論文對雙層規(guī)劃模型的求解理論進行了論述，選擇非數(shù)值優(yōu)化的方法。在進行智能算法選擇時，通過對比常用智能算法的優(yōu)缺點，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，因此本文選擇了遺傳算法，并設計了基于遺傳算法求解雙層規(guī)劃模型的方法。 本文通過分析第三方物流配送中心選址的特點，設計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，進而運用模糊數(shù)學的原理對模型進行了清晰化處理，然后設計了基于遺傳算法求解雙層規(guī)劃模型的求解方法，最后通過算例驗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.

【學位授予單位】：蘭州交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F259.23;F224

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本文編號：1516262