CAJ | 학술논문

目前国内外钢铁企业竞争激烈，企业利润已微乎其微，企业需要降低采购成本，提高自身利润。数据挖掘技术能够发现钢铁企业原燃料结算过程中每种原燃料的结算方法是否对企业有利，并找到对企业有利的结算方法，降低采购成本，提高企业竞争力。利用数据挖掘的K－均值算法，按照原燃料的供方检斤检质结算量与我方检斤检质结算量之间的差别将原燃料进行分类，发现差别较大的原燃料种类。
목전국내외강철기업경쟁격렬，기업리윤이미호기미，기업수요강저채구성본，제고자신리윤。수거알굴기술능구발현강철기업원연료결산과정중매충원연료적결산방법시부대기업유리，병조도대기업유리적결산방법，강저채구성본，제고기업경쟁력。이용수거알굴적K－균치산법，안조원연료적공방검근검질결산량여아방검근검질결산량지간적차별장원연료진행분류，발현차별교대적원연료충류。
Data mining technology can find thesettlement method of raw fuel settlement whether favorable to iron and steel enter-prises and find an settlement method benefit to the enterprises,to reduce the cost of procurement,improve the competitive-ness of enterprises.ln this article,using the K-means algorithm of data mining,raw fuel classification from the difference be-tween original fuel supplier weighting inspection quality settlement amount and our weighing inspection quality settlement amount,and find fuel types which have primary difference.