基于集配中心的供應鏈物流網絡路徑優(yōu)化
發(fā)布時間:2018-03-09 15:29
本文選題:集配中心 切入點:供應物流 出處:《華中科技大學》2015年碩士論文 論文類型:學位論文
【摘要】:高速發(fā)展的互聯(lián)網,使得消費潮流走向方便、快捷、便宜和個性化。企業(yè)只有構建了兼具低成本、快速響應和柔性特點的高適應性供應鏈,才能在市場競爭中獲得成功。其中,如何實現(xiàn)高服務水平的及時配送是高適應性供應鏈管理的挑戰(zhàn)之一。供應鏈管理實踐及理論研究表明,基于集配中心的供應鏈物流網絡能夠利用規(guī)模效應降低物流成本,通過協(xié)同運作提高供應鏈響應性和柔性。基于此類理論與實踐背景,本論文以集配中心在供應鏈中的物流配送為落腳點,分析了其在不同物流階段中的決策制定,建立了路徑優(yōu)化模型,并求解出優(yōu)化的路徑方案。在實踐調研和文獻研究的前提下,本論文總結了基于集配中心的供應鏈物流網絡的結構組成,提煉了集配中心在不同物流階段的決策因子。然后,針對不同的物流階段建模和求解:在供應物流階段引入城市環(huán)線,建立了供應商環(huán)狀分布下循環(huán)取貨供應物流路徑優(yōu)化模型,并設計了一種改進的TSP遺傳算法求解;在中轉物流階段考慮節(jié)點屬性的變化,建立了存在三重屬性節(jié)點的中轉物流路徑優(yōu)化模型,并設計了一種雙層嵌套的遺傳算法求解。最后,通過數(shù)值實驗和算例分析對模型和算法進行了驗證。根據(jù)算例結果提煉了相關管理啟示及意義,從而為實際運作提供了提供理論依據(jù)。其中,在供應物流中城市環(huán)線和多車型的組合取貨能夠實現(xiàn)路徑的優(yōu)化和成本的降低;在中轉物流中基于產品流的物流網絡中轉點選取與中轉物流路徑優(yōu)化方案,能夠通過適度集貨而降低運輸費用。
[Abstract]:With the rapid development of the Internet, the trend of consumption tends to be convenient, fast, cheap and individualized. Only by constructing a high adaptive supply chain with the characteristics of low cost, rapid response and flexibility can enterprises succeed in the market competition. How to realize high service level timely distribution is one of the challenges of high adaptability supply chain management. The practice and theoretical research of supply chain management show that supply chain logistics network based on distribution center can reduce logistics cost by using scale effect. Based on this kind of theory and practice background, this paper takes the logistics distribution of the set distribution center in the supply chain as the foothold, and analyzes its decision making in different logistics stages. The path optimization model is established, and the optimized path scheme is solved. On the premise of practical investigation and literature study, this paper summarizes the structure of supply chain logistics network based on set distribution center. The decision factors of the distribution center in different logistics stages are refined. Then, for different logistics stages, the urban loop is introduced into the supply logistics stage. In this paper, a logistics route optimization model for cyclic delivery and supply with circular distribution of suppliers is established, and an improved TSP genetic algorithm is designed to solve the problem, which takes into account the change of node attributes in the stage of transit logistics. The optimization model of transit logistics path with triple attribute nodes is established, and a bilevel nested genetic algorithm is designed to solve the problem. The model and algorithm are verified by numerical experiment and example analysis. According to the results of numerical examples, the relevant management enlightenment and significance are extracted, which provides a theoretical basis for practical operation. In the supply logistics, the combination of urban loop and multi-vehicle type can realize the route optimization and cost reduction, and in the transit logistics, we can select the transfer point and optimize the transit logistics path based on the product flow. Be able to reduce transportation costs by properly stocking goods.
【學位授予單位】:華中科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:F274;F252.1
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