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CPC在PL-TCM酸轧线上的应用及仿真分析 Title:ApplicationandSimulationAnalysisofCPCinPL-TCMAcidRollingLine Abstract: TheaimofthispaperistoexploretheapplicationandsimulationanalysisoftheCapacityPlanningCenter(CPC)inthePL-TCMacidrollingline.CPCplaysacrucialroleincapacityplanning,scheduling,andoptimizationofproductionprocesses.Throughacomprehensivereviewofrelevantliterature,weexaminetheadvantagesandchallengesofemployingCPCinthePL-TCMacidrollingline.Additionally,weusesimulationanalysistoevaluatethepotentialbenefitsandperformanceimprovementsthatcanbeachievedbyincorporatingCPCintotheproductionprocess. 1.Introduction ThePL-TCMacidrollinglineisacriticalcomponentofthesteelmanufacturingindustry.Efficientandeffectivemanagementofthisproductionlineiscrucialtooptimizeproductivity,reducebottlenecks,andensurehigh-qualityoutput.Capacityplanning,scheduling,andoptimizationarekeyfactorsthatimpacttheoverallperformanceoftheacidrollingline.CPC,adigitalsolutionwidelyusedinvariousindustries,hasproventobeeffectiveinaddressingthesechallenges. 2.TheRoleofCPCinCapacityPlanningandScheduling CPCprovidesreal-timedataandanalytics,enablingbetterdecision-makingincapacityplanningandscheduling.Itallowsproductionmanagerstoaccuratelyforecastdemand,optimizeresourceallocation,andimplementeffectiveschedulingstrategies.Byintegratinghistoricalandreal-timedata,CPChelpsidentifybottlenecks,optimizeproductionsequences,andimproveoverallefficiencyinthePL-TCMacidrollingline. 3.AdvantagesofIncorporatingCPCinthePL-TCMAcidRollingLine a.Real-timemonitoring:CPCenablesreal-timemonitoringofkeyperformanceindicators(KPIs)suchasproductionrate,downtime,andequipmentutilization.Thisallowsforquickerdetectionofissuesandtimelyresponsetominimizedisruptions. b.Predictiveanalytics:CPCusesadvancedanalyticsandmachinelearningalgorithmstopredictequipmentfailures,identifymaintenanceneeds,andoptimizemaintenanceschedules.Thishelpsmaximizeuptimeandreduceunplanneddowntime. c.Optimizationofproductionsequences:CPCoptimizestheorderinwhichproductsarerolledbasedonv

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