%A SHI Xichen, LIU Yongqiang, LI Huiminª¤ %T Material procurement model for channel engineering based on GIS %0 Journal Article %D 2016 %J Journal of Drainage and Irrigation Machinery Engin %R 10.3969/j.issn.1674-8530.16.0089 %P 959-966 %V 34 %N 11 %U {http://zzs.ujs.edu.cn/pgjx/CN/abstract/article_2146.shtml} %8 2016-11-25 %X In order to optimize the purchasing cost of enterprises and achieve intensive procurement objectives, a material procurement model for channel engineering is developed based on GIS, from the point of view of transportation route planning, by fusing operations research knowledges. At first, the material supply and storage points are decided, then transport routes are chosen by means of a GIS software, finally a route network model for material procurement is built. By applying the Floyd algorithm in graph theory to find the shortest transportation route between the material supply points and the material demand points, then the material transportation costs are figured out, and finally the comprehensive/total unit prices are determined by considering ex-factory prices. On this basis, a linear programming tool is introduced and a linear programming model for purchasing decision is established, in which the purchase quantities between supply and demand points are the variables to be optimized, the total purchase cost serves as objective function, comprehensive unit prices of materials are used as the value coefficient, while the balance of supply and demand are constraint conditions. The mode is solved by using MATLAB and VOGEL approximation method of allocation, respectively, and corresponding results by the two methods are compared. It is shown that the procurement cost can be reduced by RMB£¤530 k predicted in MATLAB and RMB£¤340 k with the VOGEL method. Obviously, the procurement program determined by the former is more attractive. Note that the purchasing model based on GIS has removed the uncertainty of material transportation route and distance in purchasing and solved the problem of unrealistically high purchasing cost. Naturally, this article provides a supplementary tool for proposing a scientific and reasonable procurement plan.ª¤