基于PGSA的S公司配送中心选址研究

The Research on the Location of S Company’s Distribution Center Based on PGSA

摘要: S公司是中国知名在线办公自动化解决方案提供商，主营纸张、耗材、文具、设备、日常用品等数万种办公用品，2016年《财富》世界500强企业。S公司凭借先进的供应链管理和全球采购体系，为用户提供一站式的行政办公采购服务。但随着S公司华东地区业务范围的不断扩张及业务量的快速增长，现有的松江仓已无法满足S公司日益增长的需求，建立新的配送中心迫在眉睫。在此背景下，本文通过分析S公司过往销售数据，以客户所在城市为标准，筛选出13个目标服务城市，利用模拟植物生长算法确定S公司配送中心选址坐标最优点及次优点，并结合坐标当地现实因素分析所得结果的可行性，为S公司配送中心选址提供具有现实意义的参考。首先，本文在分析S公司配送中心选址问题的基础上构建了相应的多目标选址模型。第二，为求解所建模型，在分析S公司配送中心选址问题影响因素的基础上，根据评价指标选取原则，建立了S公司配送中心选址指标体系，并详细介绍了指标权重的计算方法。第三，本文改进了模拟植物生长算法并对改进后算法有效性进行了验证，利用改进后算法求解所建模型，通过MATLAB进行计算得出S公司配送中心的选址地点。

Abstract: S Company is a well-known online office automation solution provider in China. It specializes in tens of thousands of office supplies such as paper, consumable, stationery, equipment and daily necessities. It is the Fortune Global 500 in 2016. S Company with advanced supply chain man-agement and global procurement system is to provide users with one-stop administrative office procurement services. However, with the continuous expansion of the business scope of S Company in East China and the rapid growth of business volume, the existing Songjiang Warehouse has been unable to meet the growing demand of S Company and establishing a new distribution center is imminent. In this context, this paper analyzes the historical sales data of S Company, uses the city where the customer is as the standard, filters out 13 target service cities, and uses the PGSA to determine the best and the second advantage of S Company’s distribution center’s location coordinates. The feasibility of the results obtained from the analysis of the local realistic factors of the coordinates provides a realistic reference for the S Company’s distribution center site selection. Firstly, this paper builds a multi-objective location model on the basis of analyzing the S company’s distribution problem. Secondly, in order to solve the established model, based on the analysis of the influencing factors of the distribution center’s location problem of S company, according to the principle of evaluation index selection, the establishment of the S company’s distribution center location index system was established, and the calculation method of index weights was introduced in detail. Thirdly, the paper improves the simulation plant growth algorithm and verifies the effectiveness of the improved algorithm. The improved algorithm was used to solve the model, and the location of S company’s distribution center was calculated by MATLAB. Finally, according to the results of this study, the outlook and deficiencies are proposed.