基于六西格玛理论的炼钢厂数据挖掘和应用  

Data Excavation and Application in Steel-making Factory Based on 6-σ Theory

作　　者：赵新军[1] 王绪国[2] 周曦[1] 

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110004 [2]上海梅山钢铁股份有限公司炼钢厂,江苏南京210039

出　　处：《冶金设备》2004年第5期1-4,共4页Metallurgical Equipment

基　　金：国家"十五"科技攻关计划资助项目 ( 2 0 0 1BA2 0 6A)

摘　　要：以六西格玛质量管理理论为基础 ,针对梅山炼钢厂已有的生产管理数据进行了深入的挖掘和开发。利用SQL -Server2 0 0 0搭建了开发软件的后台数据库 ,用PowerBuilder8.0设计了前台软件界面 ,并通过开放式数据接口 (ODBC)技术实现了与生产管理数据库的实时连接。开发的软件系统通过对数据报表的多种图形显示分析、生产过程能力分析和生产过程中的成本构成分析 ,进一步挖掘了已有数据的潜在价值 ,从而为企业各级进行生产管理决策 ,提高生产能力 ,改进产品质量 ,降低生产成本提供了有力的定量、定性的技术支撑 。Based on 6-σ quality control theory, the existed production dada excavation and application had been done deeply for Meishan steel-making factory. By utilizing the SQL-Server2000 to construct the background database, the PowerBuilder 8.0 to construct the front software interface, and linking the software with the real-time database by the Opened ODBC technology, the developed software explored the latent values of those data through the display of table or graphs of production data, the analysis of the process ability and the prediction of producing costs. Therefore, it will provide a strong basis for companies to make critical decision-miking, enhance the producing ability, improve the quality of products and also reduce the costs of producing process, and avoid the former blindness decision-making.

关 键 词：六西格玛 生产决策 数据挖掘 过程能力 排列图 

分 类 号：TF758[冶金工程—钢铁冶金]