港口煤矿企业船舶的聚类分析与应用  

Analysis and Application of Clustering for Ship in Port Coal Enterprise

作　　者：刘桂荣[1] 徐全生[2] 

机构地区：[1]烟台职业学院汽车工程系,山东烟台264670 [2]沈阳工业大学信息科学与工程学院,沈阳110023

出　　处：《煤炭技术》2011年第10期218-218,223,共2页Coal Technology

摘　　要：随着经济的发展,我国港口煤矿企业的生产规模不断扩大,船舶货运进出口数量急剧增长,船舶在港口装卸货物的数量和在港作业时间的长短直接影响港口企业的经济效益。文章通过数据挖掘技术发现,港口企业的大型船舶偏少,小型船舶偏多,小型船舶载货量少,装卸时间长,直接影响了港口煤矿企业的生产效益。所以港口煤矿企业应该积极开拓大型船舶市场,提高生产效率和经济效益。Along with developing of economy, the productive scale of native port coal enterprises is continually enlarging. The amount of shipping cargo is rapidly increasing. The amount and the time of loading-unloading cargos can directly affect the economic benefit of port coal enterprise. The paper discovers that large ship is more few but small ship is more many. The amount of carrying cargo of small ship is few but the time of lading-unlading cargo is long. It directly affects the economic benefit of port coal enterprise. So port coal enterprise should actively exploit the large ship market that port enterprise can enhance productive efficiency and economic benefit.

关 键 词：港口煤矿企业 聚类分析 经济效益 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]