智能制造、大数据及企业竞争转型

©CopyrightIMSCenter,2014.AllRightsReserved.►InvisibleandUnmetNeedsinManufacturingInvisibleandUnmetNeedsinManufacturingInvisibleandUnmetNeedsinManufacturingInvisibleandUnmetNeedsinManufacturing可见与不可见制造战略►BigData,Industry4.0andCyber-PhysicalSystems(CPS)BigData,Industry4.0andCyber-PhysicalSystems(CPS)BigData,Industry4.0andCyber-PhysicalSystems(CPS)BigData,Industry4.0andCyber-PhysicalSystems(CPS)大数据,,,,工业4.04.04.04.0与虚拟网路实体系统(CPS)(CPS)(CPS)(CPS)►PredictiveAnalyticsforSmarterIndustrial/ManufacturingSystemsPredictiveAnalyticsforSmarterIndustrial/ManufacturingSystemsPredictiveAnalyticsforSmarterIndustrial/ManufacturingSystemsPredictiveAnalyticsforSmarterIndustrial/ManufacturingSystemsandCaseStudiesandCaseStudiesandCaseStudiesandCaseStudies工业大数据分析与预测式智能制造及案例►DesignofBigDataServiceInnovationDesignofBigDataServiceInnovationDesignofBigDataServiceInnovationDesignofBigDataServiceInnovation大数据分析与创新设计►MeaningforBaoSteelMeaningforBaoSteelMeaningforBaoSteelMeaningforBaoSteel宝钢的转型成长机会OutlineOutlineOutlineOutline©CopyrightIMSCenter,2014.AllRightsReserved.制造业的基本问题质量和生产力机器衰退客户没有定义的收获与痛苦客户定义的收获与痛苦减少工作量减少浪费意义和内容((((聪明的信息))))减少忧虑数据特征©CopyrightIMSCenter,2014.AllRightsReserved.使设备和人对变化的需求更加有反应————让机器设备有““““感觉””””NiimiNiimiNiimiNiimi：丰田北美区，执行VPVPVPVP，前任副总裁丰田的自动化视角获得的灵感::::带着““““感情””””开发机器©CopyrightIMSCenter,2014.AllRightsReserved.预测型vs.vs.vs.vs.六个西格玛管理衰退健康指标6666σσσσ预测和预防::::无忧虑生产系统战略分析工具质量管理动态预测工具最优化生产力看不见的问题©CopyrightIMSCenter,2014.AllRightsReserved.关键部件表现特征20021022023024025026027028033.544.555.566.577.5CycleNumberPrincipalComponentActualDataPredictionActualDataPredictionUncertainty机器使用寿命的预测预测分析和使用手段正常状况最近状况健康特征雷达图00.20.40.60.81轴承11110000衰退©CopyrightIMSCenter,2014.AllRightsReserved.信息图表工具预测设备健康信息的学工具的结果健康指标表现衰退评估((((0-1)0-1)0-1)0-1)健康图表潜在问题模式分类健康雷达图多部件衰退监控00.20.40.60.81风险雷达图对零部件维护的决策©CopyrightIMSCenter,2014.AllRightsReserved.第一步Step1:Step1:Step1:Step1:UnderstandandValidatethePastIssuesUnderstandandValidatethePastIssuesUnderstandandValidatethePastIssuesUnderstandandValidatethePastIssues用过去的数据来了解和验证ValueofIndustrialBigDataAnalyticsValueofIndustrialBigDataAnalyticsValueofIndustrialBigDataAnalyticsValueofIndustrialBigDataAnalytics如何使用工业大数据4.04.04.04.0©CopyrightIMSCenter,2014.AllRightsReserved.GME-ManufacturingTestbedGME-ManufacturingTestbedGME-ManufacturingTestbedGME-ManufacturingTestbedSt.CatherineAssemblyPlant,St.CatherineAssemblyPlant,St.CatherineAssemblyPlant,St.CatherineAssemblyPlant,CanadaCanadaCanadaCanada通用加拿大卡迪拉克发动机生产线©CopyrightIMSCenter,2014.AllRightsReserved.GME-ManufacturingGME-ManufacturingGME-ManufacturingGME-ManufacturingTestbedTestbedTestbedTestbed通用发动机生产线(2002)(2002)(2002)(2002)Systematicdatacollection数据收集Performanceevaluation表现评估Datasearchby:•Plant•Machine•Sensor•Date•Time•Multi-sensorfusion•CVcalculation•FlexibilityCenterforIMSAutomotiveManufacturer©CopyrightIMSCenter,2014.AllRightsReserved.切削刀具的健康状态信息图•Spindleloadsensorinamachiningcenter.•1218boringprocesscycles.NormalOperationDegradationWarnToolToolChange©CopyrightIMSCenter,2014.AllRightsReserved.Harley-DavidsonHarley-DavidsonHarley-DavidsonHarley-DavidsonMilwaukee,Milwaukee,Milwaukee,Milwaukee,WIWIWIWI2003-20062003-20062003-20062003-2006哈雷汽车生产线威斯康辛©CopyrightIMSCenter,2014.AllRightsReserved.自省式机床主轴的健康监控©CopyrightIMSCenter,2014.AllRightsReserved.健康指标评估((((ConfidenceValue)ConfidenceValue)ConfidenceValue)ConfidenceValue)Method:Method:Method:Method:StatisticalPatternStatisticalPatternStatisticalPatternStatisticalPatternRecognition(SPRRecognition(SPRRecognition(SPRRecognition(SPR))))数据化统计状态分析�UsedatainnormalUsedatainnormalUsedatainnormalUsedatainnormalconditionasthebaselineconditionasthebaselineconditionasthebaselineconditionasthebaseline�UsehypothesistesttoUsehypothesistesttoUsehypothesistesttoUsehypothesistesttocalculatetheconfidencecalculatetheconfidencecalculatetheconfidencecalculatetheconfidencevalueoftestingdatavalueoftestingdatavalueoftestingdatavalueoftestingdataCVCVCVCVSpindleHealthProfileusingEasy-to-UnderstandVisualizationSpindleHealthProfileusingEasy-to-UnderstandVisualizationSpindleHealthProfileusingEasy-to-UnderstandVisualizationSpindleHealthProfileusingEasy-to-UnderstandVisualization©CopyrightIMSCenter,2014.AllRightsReserved.Step2:Step2:Step2:Step2:PrioritizetheIssuesPrioritizetheIssuesPrioritizetheIssuesPrioritizetheIssuesFocusontheHigh-ImpactThingsFocusontheHigh-ImpactThingsFocusontheHigh-ImpactThingsFocusontheHigh-ImpactThings第二步找出有重大影响的装备及零部件工业大数据分析的优先性©CopyrightIMSCenter,2014.AllRightsReserved.PredictiveRobotMaintenancePredictiveRobotMaintenancePredictiveRobotMaintenancePredictiveRobotMaintenanceatToyotaGeorgetown,atToyotaGeorgetown,atToyotaGeorgetown,atToyotaGeorgetown,KYKYKYKY丰田凯美瑞生产线机器人智能维护MR50%in2008MR50%in2008MR50%in2008MR50%in2008目标：在2008200820082008年减少装备维护成本50%50%50%50%©CopyrightIMSCenter,2014.AllRightsReserved.机器人使用的健康状态图►Showwhethercertainareas(ofprocess)wereShowwhethercertainareas(ofprocess)wereShowwhethercertainareas(ofprocess)wereShowwhethercertainareas(ofprocess)werefailingmoreoftenthanothers.failingmoreoftenthanothers.failingmoreoftentha