基于灰色关联的沿海铁矿石港口物流发展绩效评估与应用  

Evaluation and Application of Port Logistics Development Performance of Iron Ore Ports in China's Coastal Area Based on Gray Relational Theory

作　　者：陈继红[1] 孟威[1] 陈飞儿[2] 张方伟[1] 罗萍[3] 朴南奎 曹家楠 

机构地区：[1]上海海事大学交通运输学院,上海201306 [2]上海交通大学船舶海洋与建筑工程学院,上海200240 [3]国家发展和改革委员会综合运输研究所,北京100038 [4]韩国东明大学港湾物流学院,釜山608711

出　　处：《数学的实践与认识》2015年第23期120-128,共9页Mathematics in Practice and Theory

基　　金：国家自然科学基金项目(51409157;71473162;51508319);教育部人文社会科学研究项目(14YJC630008;12YJCGJW001);韩国东明新一代全球航运港口物流专家培养计划;上海市教委科研创新项目(14YZ109);上海海事大学校基金项目(20130457)~~

摘　　要：沿海铁矿石港口作为我国铁矿石运输的重要节点,在其物流供应链中发挥着重要作用.以灰色关联分析为基本方法,并结合层次分析法(AHP)确定权重,通过分析铁矿石港口的影响因素来构建评价指标体系,并对大连港、营口港、唐山港、天津港、青岛港、日照港、宁波-舟山港、连云港、上海港、南通港、湛江港、防城港等12个沿海港口的铁矿石港口物流发展绩效进行评价.基于实证的研究结果表明,灰色关联分析法在铁矿石港口物流发展绩效评价中十分有效,评价最终的排序结果反映了铁矿石港口物流的发展水平,对提升我国铁矿石港口的营运水平,增强其物流竞争力有重要借鉴意义.As an important node of the iron ore transportation, coastal iron ore ports play an important role in it＇s logistics supply chain. Based on the grey relational analysis as the basic method, and combined with AHP to determine the weight, this paper builds evaluation index system through the analysis of factors affecting iron ore port, and evaluate logistics development performance on 12 coastal ports of Dalian Port, Yingkou Port, Tangshan Port, Tianjin Port, Qingdao Port, Rizhao Port, Ningbo-Zhoushan Port, Lianyungang Port, Shanghai Port, Nantong Port, Fangchenggang Port. The empirical results show that the GRA method is very effective for the evaluation of the development performance of iron ore ports, for the final score result reflects the level of development of the iron ore ports＇ logistics, which is helpful for enhancing the operation level and logistics competitiveness of iron ore ports of China.

关 键 词：沿海区域 铁矿石 港口物流 发展绩效 评估 

分 类 号：N941.5[自然科学总论—系统科学] F552[经济管理—产业经济]