钢铁企业生产成本关键工序数据挖掘应用研究  

Research on production cost key processes data mining for iron & steel enterprises

作　　者：宋旭东[1] 刘晓冰[1] 程晓兰[2] 翟坤[1] 

机构地区：[1]大连理工大学,辽宁大连116024 [2]大连交通大学,辽宁大连116028

出　　处：《计算机工程与应用》2008年第28期184-186,195,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.70572098, No.70471056;大连IT项目(No.大财企[2008]281号)~~

摘　　要：在钢铁企业的成本分析中,工艺路线关键工序消耗的分析和控制成为钢铁企业生产成本决策分析中首要的任务。通过以工艺路线为切入点,结合企业的成本分析项目,对生产成本工序进行数据仓库维度建模。采用基于抽样的C4.5算法对生产成本工序数据进行挖掘,挖掘出工艺路线中的关键工序和影响钢铁企业成本的分类规则,为企业的成本管理提供了科学依据。In cost analysis of iron ＆ steel enterprise,analysis and control of consumption of the key process of process routes become primary task for iron ＆ steel enterprises production cost decision-making.Through process routes as the breakthrough point,combining the cost analysis projects of enterprises,do data warehouse modeling for production cost processes.Adopting improved decision tree algorithm C4.5 used for production cost data,mine the key processes in process routes and the classification rules affecting the costs of iron ＆ steel enterprises.It provides a scientific basis for the cost management for enterprises.

关 键 词：钢铁企业 成本分析 工艺路线 数据仓库 维度建模 数据挖据 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]