云南白药公司物流配送路径优化问题研究

发布时间：2018-06-19 12:20

本文选题：车辆路径优化 + 蚁群算法　；参考：《大连海事大学》2013年硕士论文

【摘要】：随着我国对医药物品的需求量不断增长,预计未来十年我国将成为全球第二大的药品市场,这会是我国医药工业繁荣发展的时期,蕴藏着巨大的机遇与挑战。但与此同时,我们也需要看到落后的医药物流系统与不断扩大的医药需求之间的矛盾日益凸显。我国现阶段医药物流的主要问题有两个方面,一是药品在我国一直以来被视为特殊商品,药品流通行业受到政策体制的保护,一直到近年来才对外开放,物流管理模式不成体系。二是医药物流总体上仍以传统经营模式为主体,信息化、现代化管理水平偏低,现代物流基础设施建设也明显滞后,致使医药企业物流成本高,在销售额中占比很大。本文以云南白药股份有限公司的医药物流现状作为背景,重点研究医药物流中的车辆路径优化问题,旨在通过对车辆路径问题的优化来提高医药物流的中转效率以及降低经营成本。本文首先分析和总结了车辆路径问题的历史和研究现状,为其运用在医药物流领域提供了依据；第二,选取了云南白药股份有限公司作为研究对象,针对其现状以及存在的问题,建立了单中心、多车型、带软时间窗的车辆路径优化问题模型,模型以车辆容量和客户需求等为约束条件,以配送运输成本为目标函数；第三,车辆路径问题是研究货物运输成本最小的物流配送问题,它将运筹学理论与生产实践紧密地结合,故本文选用了蚁群算法求解云南白药公司的路径优化问题；最后,通过计算得出车辆路径优化方案,并对云南白药有限公司昆明市区的医药配送提出发展对策。
[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.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP18;F259.2;F426.72

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