G公司物流中心选址问题研究

发布时间：2018-04-11 04:11

本文选题：选址 + 物流网络　；参考：《北京交通大学》2017年硕士论文

【摘要】：G公司是一家食糖B2B电子商务平台,该交易平台是目前我国最大的食糖现货批发交易市场。G公司主要通过电子商务平台和现代物流建设,为在该平台进行交易的食糖厂商、经销商及客户提供信息咨询、购销、结算和配送等一站式配套服务。目前,G公司在食糖产地(广西、云南和广东)布局了大量的仓库,而对于遍布全国各省市的食糖需求地只有很少的仓库,有些地区甚至没有仓库,这种"重产地、轻销地"的物流网络布局产生了供需不匹配、地域不匹配、配送成本过高、仓库闲置浪费等问题。在此背景下,需要针对G公司目前面临的问题,研究其物流中心进行布局,在需求地新租赁二级物流中心的选址,解决基于食糖需求预测的从总部(一级物流中心)预调拨(预配送)食糖到二级物流中心的问题,满足需求地的食糖交收,优化现有的物流网络,完善配送体系。首先,本文对G公司业务现状及其物流现状进行分析,明确其现状中存在的问题,并分析了问题产生的原因在于其现有的物流网络布局不合理,在此基础上提出新增二级物流配送中心的解决思路;其次,分析不同选址方法的优缺点和适用情况,考虑G公司的实际情况以及选址因素,选取混合整数规划选址模型;然后,预测需求地的食糖需求量,并从社会公共仓库中确定18个备选物流中心;接着以运输成本、仓储成本(包括租金和管理费用)和装卸搬运成本总和最低为目标,以满足客户需求等要求为约束条件,应用Lingo软件编程进行求解,得出了不同数量的物流中心所对应的最低物流成本,并综合分析比较,以总物流成本最低确定最佳选址方案,得出最优配送方案;最后,对计算结果做了分析评价,证明选址方案的合理性;此外,本文在计算出的最优配送方案的基础上考虑了食糖的季节性规律,提出实施建议,以期为G公司提供合理的物流中心选址方案,解决G公司在物流中心布局中存在的问题。
[Abstract]:G Company is a sugar B2B e-commerce platform, the trading platform is the largest spot sugar wholesale trading market. G company mainly through e-commerce platform and modern logistics construction, for the platform trading sugar manufacturers.Dealers and customers provide information advice, purchase and marketing, settlement and distribution and other one-stop support services.At present, company G has laid out a large number of warehouses in sugar producing areas (Guangxi, Yunnan and Guangdong), but there are only a few warehouses for sugar demand in provinces and cities all over the country. In some areas, there are even no warehouses. This kind of "heavy production area,"The logistics network layout of "light selling place" produces problems such as mismatch of supply and demand, mismatch of region, high cost of distribution, idle waste of warehouse and so on.In this context, it is necessary to study the layout of the logistics center and the location of the new lease secondary logistics center in the demand area, aiming at the problems that G company is facing at present.To solve the problem of sugar pre-allocation (pre-distribution) from headquarters (first-level logistics center) to secondary logistics center based on sugar demand prediction, to meet the demand for sugar delivery, optimize the existing logistics network, and improve the distribution system.First of all, this paper analyzes the current business situation and logistics status of G Company, clarifies the existing problems, and analyzes the causes of the problem lies in the unreasonable layout of the existing logistics network.On this basis, the solution of the new secondary logistics distribution center is put forward. Secondly, the advantages and disadvantages of different location methods and their applicability are analyzed. Considering the actual situation and location factors of G company, the mixed integer programming location model is selected.Predict sugar demand in the place of demand and identify 18 alternative logistics centres from social public warehouses; then aim at the lowest combined transport costs, warehousing costs (including rental and management costs) and handling costs,In order to meet the requirements of customers and other requirements, Lingo software is used to solve the problem. The minimum logistics cost corresponding to different logistics centers is obtained, and the best location scheme is determined by comprehensive analysis and comparison with the lowest total logistics cost.Finally, the calculation results are analyzed and evaluated to prove the rationality of the site selection scheme. In addition, the seasonal rule of sugar is considered on the basis of the calculated optimal distribution scheme, and the implementation suggestions are put forward.In order to provide G company with reasonable logistics center location plan, solve the problem of G company in logistics center layout.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.82;F724.6;F252

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