为解决县域农村物流配送中心合理选址问题,综合现实路网条件及未来物流需求等因素,以物流总费用最小化为目标函数,建立基于现实公路网的农村物流配送中心选址优化模型.通过对聚类中心和边缘点加以处理,改进了K-means聚类算法,并以此求解上述选址优化模型.实例分析表明,该模型和算法能很好地解决县域农村物流配送中心选址优化问题.
To solve the problem of distribution center location in county rural logistics,a rural logistics distribution center locating optimization model based on the reality of the rural road network was put forward.The model's value target was to minimize the sum cost of the whole logistics activity considering realistic network condition,logistics demand of the future and other factors.The K-means clustering algorithm was improved with the disposal of the clustering centers and verge points,and it was used to solve the above-mentioned model. Case study proves that the proposed model with the algorithm is quite suitable for solving the above problems.