X公司配送节点选址问题研究

发布时间：2018-11-20 20:59

【摘要】：X公司是一家牛奶供应公司,采用直接面向客户的一级配送网络为客户提供配送服务。但是,随着X公司业务的发展,现行配送网络呈现诸多弊端。为适应公司业务发展的需要,x公司决定在配送区域建立配送节点,形成二级配送网络。配送节点选址问题也被提上日程。本文以X公司配送需求及现状为研究对象。对X公司在配送区域内的配送时长、需求量等基础数据进行整理分析,以x公司配送区域内的需求量及需求趋势为基础,对X公司配送区域内未来的需求量进行预测。从配送成本、客户满意度和资源利用率三个方面对x公司现行配送网络进行分析,x公司现行配送网络存在资源浪费情况,配送成本具有缩减空间,客户满意度存在下滑趋势。根据x公司配送区域内需求量数据,运用SPSS软件k-均值聚类分析方法对配送区域进行划分,并得到各聚类中心坐标。结合x公司设置配送节点的内部限制条件和安阳市实际状况等外部因素,在聚类中心附近选取符合要求的配送备选节点。根据x公司技术人员建议,进行适当筛选。配送备选节点选定之后,根据鲜牛奶配送业务特性、配送时间满意度及x公司配送节点人员分配计划,建立时间惩罚成本函数。通过对建立配送节点涉及的固定投资费用、经营费用、运输成本和时间惩罚成本的分析,建立以总成本最低为目标值的多节点选址模型。运用Lingo软件对其进行求解,得到适合X公司的最优的配送节点选址方案。最后,本文从配送成本、客户满意度和资源利用率三个方面对配送网络的优化效果进行分析。预计,在2017年,与原配送网络相比,配送成本节约21947.31元,客户满意度提高20.75%,并维持在85%以上,整体资源利用率提高25.81%。
[Abstract]:X is a milk supply company, using a direct customer-oriented distribution network for customers to provide distribution services. However, with the development of X Company's business, the current distribution network presents many drawbacks. In order to meet the needs of business development, X Company decided to set up distribution nodes in the distribution area and form a secondary distribution network. Distribution node location is also on the agenda. This paper takes X Company's distribution demand and present situation as the research object. This paper analyzes the distribution time and demand of X Company in the distribution area. Based on the demand and demand trend in the distribution area of X Company, the paper forecasts the future demand in the distribution area of X Company. This paper analyzes the current distribution network of x company from three aspects of distribution cost, customer satisfaction and resource utilization. The current distribution network of x company has waste of resources, distribution cost has reduced space, and customer satisfaction has a downward trend. According to the data of demand in distribution area of x company, the distribution area is divided by using SPSS software k- mean clustering analysis method, and the coordinate of each cluster center is obtained. Combined with the external factors such as the internal limiting conditions of the distribution node set up by X Company and the actual situation in Anyang City, the distribution alternative nodes that meet the requirements are selected near the cluster center. According to X company technical personnel advice, appropriate screening. After the selection of distribution candidate nodes, according to the characteristics of fresh milk distribution business, distribution time satisfaction and distribution node distribution plan of x company, the cost function of time punishment is established. Based on the analysis of fixed investment cost, operating cost, transportation cost and time penalty cost involved in setting up distribution node, a multi-node location model with the lowest total cost as the target value is established. Lingo software is used to solve the problem and the optimal location scheme of distribution node is obtained for X Company. Finally, this paper analyzes the optimization effect of distribution network from three aspects: distribution cost, customer satisfaction and resource utilization. It is expected that in 2017, compared with the original distribution network, the distribution cost will be saved by 21947.31 yuan, the customer satisfaction will be increased by 20.75%, and maintained at more than 85%, and the overall utilization rate of resources will be increased by 25.81%.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F252;F426.82

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