pg炼钢厂mes系统数据挖掘的设计与开发

pg炼钢厂mes系统数据挖掘的设计与开发

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时间:2019-02-19

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1、ABSTRACTABSTRACTDataminingisatopicwithgreatapplicablevalueindatabaseresearch,whichcombinesdifferenttheoriesandtechnologiesindatabase,artificialintelligenceandmachinelearning.Thisdissertationintroducessystematicallythearchitecture,themethodandapplicationsofda

2、tamining.TheERPissystemengineeringwhichfocusesonboththeexteriorandinterioroftheenterprise.Itisalsoasolutiontotheinformationalofanenterprise.Toamanufacturingenterprise,withoutthesupportofitsproductionlineontheL2/L3level,itsERPsystemwilldefinitelybecomea“solit

3、aryislandofinformation”,whichisdivorcedfromtheactualproductionofanenterpriseandwhosesuccessisveryunlikely.Anychangeinsteelmanufacturewillsurelybereflectedonlogisticswhichrunsthroughtheprocessofsteelmanufacture.Logisticsisthecarrierofcapitalflow,valuestreaman

4、dthemarketresponsespeed(contractredemptionspeed).ThusintheprocessofimplementingERP,thecompanyshouldmakefulluseofthemethodofmulti-dimensionalmanagementsystemoflogisticstooptimize,regulateandcontroltheguidingideologyintheproductionofironandsteel,andatthesameti

5、me,focusontheviewpointconcerningentirety,longterm,optimization,comprehensiveanalysiswithinthesystem,ItisrecommendedtotakeintoconsiderationtheproblemsintheprocessoftheironandsteelmanufactureandbuildtheL3levelproductionlinecomprehensively,soastolaythefoundatio

6、nfortheeffectiveoperationoftheERPsystem.LinkingwiththeactualproductionpracticeinPanzhihuaIronandSteelCompany,theauthorofthisdissertationexpoundsthefunctionsofERPandMESsystemsinthecompany,togetherwithitsdevelopmentandresearch.Ithasbecomeanarduoustaskfortheiro

7、nandsteelcompaniestofindvaluableinformationorknowledgefromtheabundantMESdatastoredindifferentforms.CombiningwiththerealityoftheVanadiumAbstractionandSteelProductionFactory,theauthorhasmaderesearchintodatawarehouse,dataminingtechnologyandthepresentsituationof

8、thedevelopmentofdataminingtechnologybothhomeandabroad,soastoresearchintoanddeveloptheapplicationofdatastorageanddatamininginII万方数据ABSTRACTsteel-makingMESsystem.Keywords:ETL,OLAP,MES,datawarehous

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