本文選題：車輛路徑優(yōu)化 + 蟻群算法　； 參考：《大連海事大學》2013年碩士論文

【摘要】：隨著我國對醫(yī)藥物品的需求量不斷增長,預計未來十年我國將成為全球第二大的藥品市場,這會是我國醫(yī)藥工業(yè)繁榮發(fā)展的時期,蘊藏著巨大的機遇與挑戰(zhàn)。但與此同時,我們也需要看到落后的醫(yī)藥物流系統(tǒng)與不斷擴大的醫(yī)藥需求之間的矛盾日益凸顯。我國現(xiàn)階段醫(yī)藥物流的主要問題有兩個方面,一是藥品在我國一直以來被視為特殊商品,藥品流通行業(yè)受到政策體制的保護,一直到近年來才對外開放,物流管理模式不成體系。二是醫(yī)藥物流總體上仍以傳統(tǒng)經(jīng)營模式為主體,信息化、現(xiàn)代化管理水平偏低,現(xiàn)代物流基礎設施建設也明顯滯后,致使醫(yī)藥企業(yè)物流成本高,在銷售額中占比很大。本文以云南白藥股份有限公司的醫(yī)藥物流現(xiàn)狀作為背景,重點研究醫(yī)藥物流中的車輛路徑優(yōu)化問題,旨在通過對車輛路徑問題的優(yōu)化來提高醫(yī)藥物流的中轉(zhuǎn)效率以及降低經(jīng)營成本。 本文首先分析和總結了車輛路徑問題的歷史和研究現(xiàn)狀,為其運用在醫(yī)藥物流領域提供了依據(jù)；第二,選取了云南白藥股份有限公司作為研究對象,針對其現(xiàn)狀以及存在的問題,建立了單中心、多車型、帶軟時間窗的車輛路徑優(yōu)化問題模型,模型以車輛容量和客戶需求等為約束條件,以配送運輸成本為目標函數(shù)；第三,車輛路徑問題是研究貨物運輸成本最小的物流配送問題,它將運籌學理論與生產(chǎn)實踐緊密地結合,故本文選用了蟻群算法求解云南白藥公司的路徑優(yōu)化問題；最后,通過計算得出車輛路徑優(yōu)化方案,并對云南白藥有限公司昆明市區(qū)的醫(yī)藥配送提出發(fā)展對策。
[Abstract]:With the increasing demand for pharmaceutical products in China, it is expected that China will become the second largest pharmaceutical market in the world in the next ten years, which will be the period of prosperity and development of China's pharmaceutical industry, which contains enormous opportunities and challenges. But at the same time, we also need to see the contradiction between the backward medical logistics system and the expanding pharmaceutical demand. There are two main problems in pharmaceutical logistics in China at present. One is that drugs have been regarded as special commodities in our country all along. The pharmaceutical circulation industry has been protected by the policy system and has not been opened to the outside world until recent years. Logistics management model is not systematic. Secondly, the traditional management mode is still the main body of pharmaceutical logistics, informatization, low level of modern management, and the construction of modern logistics infrastructure lag behind obviously, resulting in high logistics cost of pharmaceutical enterprises, which accounts for a large proportion of sales. Based on the current situation of pharmaceutical logistics in Yunnan Baiyao Co., Ltd., this paper focuses on the vehicle routing optimization in pharmaceutical logistics. The purpose of this paper is to improve the transfer efficiency of medical logistics and reduce the operating cost by optimizing the vehicle routing problem. This paper firstly analyzes and summarizes the history and research status of the vehicle routing problem, which provides the basis for its application in the field of medical logistics. Secondly, Yunnan Baiyao Co., Ltd. is selected as the research object. In view of its current situation and existing problems, a vehicle path optimization model with single center, multi-vehicle model and soft time window is established. The model takes vehicle capacity and customer demand as constraints and takes delivery transportation cost as objective function. The vehicle routing problem is a logistics distribution problem with the lowest freight transportation cost. It combines the theory of operational research with the production practice closely, so this paper chooses ant colony algorithm to solve the route optimization problem of Yunnan Baiyao Company. The vehicle route optimization scheme is obtained by calculation, and the development countermeasures are put forward for the medical distribution in Kunming city of Yunnan Baiyao Co., Ltd.
【學位授予單位】：大連海事大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP18;F259.2;F426.72

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本文編號：2039869