铁路物流节点规划模糊聚类分析-《计算机技术与发展》

文章信息/Info

Keywords:: railway; logistics node; location planning; fuzzy cluster analysis

摘要:: 现代物流作为先进的组织方式和管理技术，已经成为经济发展重要的推动力量。针对目前缺乏对铁路物流节点综合发展规划研究的现状，文中运用模糊聚类分析方法进行研究。首先，建立影响因素指标体系，并通过递阶层次分析结构模型表现出来；然后，按模糊聚类分析的步骤建立数学模型，包括一级指标评价、无量纲化处理、建立模糊关系、模糊聚类等；最后，通过规划实例来说明指标体系和数学模型的具体应用。文中的研究内容，对于科学规划分层分类的铁路物流节点，实现不同运输方式物流节点之间的合理分工与协调布局具有重要意义。

Abstract:: Modern logistics as an advanced organization and management technique,has become an important driving force to economic development. For the current lack of railway logistics node status of integrated development planning research,use fuzzy cluster analysis method for researching. Firstly,establish factor indicator system,and manifest through the analysis of hierarchical structure model. Then, establish mathematical model according to fuzzy cluster analysis step,including an index evaluation,dimensionless processing,fuzzy es-tablishing relation,fuzzy cluster and so on. Finally,through the examples planning illustrate the index system and mathematical model for specific application. The content of this study is important for the scientific planning and hierarchical classification of railway logistics node,the rational division of labor and coordination layout between different nodes of transportation logistics modes.