测量系统分析_刘晓梅.ppt

11/28/2019,ATLConfidentialInformation,测量系统分析MSA-MeasurementSystemAnalysis,PreparebyLiuXM,11/28/2019,ATLConfidentialInformation,Outline,1.测量是一个过程2.测量过程的变异3.测量系统的特性4.GRR分析5.测量系统变异性的影响Exercise,测量是一个过程,测量是一个过程,得到的所有数据都是测量值，真实值只有上帝知道测量数据的变异有一部分是测试造成的,测量过程的变异-举例,研究两个工序的能力：根据上述数据：两个工序生产的产品是相似的（相同的分布）进一步研究？,测量过程的变异-举例,问题：1.这两条拉相同吗？2.哪个测量系统对于发现工序变异有帮助？3.对于这两条拉，下一步改善措施是什么？,11/28/2019,ATLConfidentialInformation,识别过程以及测量系统的变异，首先要定义和区分变异的来源,变异的来源,测量系统特性,测量系统特性分类-准确度和精确度,准确度,精确度,total,product,measurement,均值,方差,测量系统的统计特性,准确度Bias偏倚Linearity线性Stability稳定性精确度Repeatability重复性Reproducibility再现性,11/28/2019,ATLConfidentialInformation,准确度(Accuracy),Bias,Stability,Linearity,稳定性和线性都是偏倚的形式稳定性是时间维度上的偏倚线性是量程维度上的偏倚,11/28/2019,ATLConfidentialInformation,测量系统的总变差对于重复测量设备总变差的测量精确度等于重复性和再现性的累加,精确度(Precision),11/28/2019,ATLConfidentialInformation,测量系统的5个特性：宽度偏差：重复性；再现性；GageR&R重复性：由同一评价人，采用同一种测量仪器，多次测量同一零件的同一特性时获得的测量值的变差。它属于系统内变差，通常视为设备变差（E.V.-EquipmentVariation）。,Repeatability,精确度：重复性(Repeatability),11/28/2019,ATLConfidentialInformation,重复性反应测量装置的固有变异对同样的变量在相似条件下重复测量时的变异同样的部件同一检验员同样的设置相同的环境条件短期根据重复测量的平均标准偏差评估,精确度：重复性(Repeatability),11/28/2019,ATLConfidentialInformation,再现性:由不同测量人员用同样仪器对同一零件的同一特性所得重复测量得平均值的变异称为测量系统的再现性，简称再现性,精确度：再现性(Reproducibility),11/28/2019,ATLConfidentialInformation,再现性:反映了不同条件下同一测量时的变异不同检验员不同的设置不同的测试单位不同的环境条件长期的测量变异根据不同测量条件下的平均标准偏差评估,精确度：再现性(Reproducibility),11/28/2019,ATLConfidentialInformation,测量系统变差:s2meas=s2repeat+s2reprod主要根据GageR&R的分析结果确定测量系统是“好”是“坏”，能否满足应用的要求，需要对测量系统的变异与产品的spec与过程的变异相比较ComparingsmeaswithTolerance:-Precision-to-ToleranceRatio(P/T)ComparingsmeaswithProcessVariation(P/TV):-%RepeatabilityandReproducibility(%R&R)-DiscriminationIndex,计量型测量系统分析方法,11/28/2019,ATLConfidentialInformation,PrecisiontoToleranceRatio说明容差的多少百分比的总散布是由测量误差所导致Bestcase:QualityToolsGageR&RStudyStep8:分析数据结果,Example-GageR&RusingMinitab,11/28/2019,ATLConfidentialInformation,Step7:在Minitab中录入数据及规格StatQualityToolsGageR&RStudy,Example-GageR&RusingMinitab,11/28/2019,ATLConfidentialInformation,total,meas,total,meas,TV,P,s,s,s,s,=,=,2,2,/,LSL,USL,LSL,USL,T,P,MS,MS,-,=,-,=,s,s,*,15,.,5,*,15,.,5,/,2,Note:P/TV的分母可根据样本的研究或历史数据评估,Example-GageR&RusingMinitab,11/28/2019,ATLConfidentialInformation,GageR&RStudy-ANOVAMethodANOVATableWithOperator*PartInteractionSourceDFSSMSFPParts92.058710.22874539.71780.00000Operators20.048000.0240004.16720.03256Oper*Part180.103670.0057594.45880.00016Repeatability300.038750.001292Total592.24912GageR&RSourceVarCompStdDev5.15*SigmaTotalGageR&R0.0044370.0666150.34306Repeatability0.0012920.0359400.18509Reproducibility0.0031460.0560880.28885Operator0.0009120.0302000.15553Oper*Part0.0022340.0472630.24340Part-To-Part0.0371640.1927810.99282TotalVariation0.0416020.2039651.05042Source%Contribution%StudyVar%ToleranceTotalGageR&R10.6732.6622.87Repeatability3.1017.6212.34Reproducibility7.5627.5019.26Operator2.1914.8110.37Oper*Part5.3723.1716.23Part-To-Part89.3394.5266.19TotalVariation100.00100.0070.03NumberofDistinctCategories=4,SessionWindowOutput:,GraphicalOutput:,GageR&ROutput,11/28/2019,ATLConfidentialInformation,GageR&RStudy-ANOVAMethodANOVATableWithOperator*PartInteractionSourceDFSSMSFp-valueParts92.058710.22874539.71790.00000Operators20.048000.0240004.16720.03256Oper*Part180.103670.0057594.45880.00016Repeatability300.038750.001292Total592.24913,零件与操作者是统计上显著的,GageR&R,ANOVATable,0.05,11/28/2019,ATLConfidentialInformation,GaugeR&RStudy-ANOVAMethodSourceVarCompStdDev95%ConfInt5.15*SigmaTotalGaugeR&R0.0044370.066615(0.0597,0.2250)0.34306Repeatability0.0012920.035940(0.0287,0.0480)0.18509Reproducibility0.0031460.056088(*,*)0.28885Operator0.0009120.030200(0.0000,0.2169)0.15553Oper*Part0.0022340.047263(0.0254,0.0800)0.24340Part-To-Part0.0371640.192781(0.1098,0.3345)0.99282TotalVariation0.0416020.2039651.05042,Varianceduetothemeasurementsystem(brokendownintorepeatabilityandreproducibility),Totalvariance,Varianceduetotheparts,Standarddeviationforeachvariancecomponent,99%ofthevariationrepresented,GageR&R,VariationComponents,11/28/2019,ATLConfidentialInformation,SourceVarComp5.15*SigmaTotalGaugeR&R0.0044370.34306Repeatability0.0012920.18509Reproducibility0.0031460.28885Operator0.0009120.15553Oper*Part0.0022340.24340Part-To-Part0.0371640.99282TotalVariation0.0416021.05042,3266,0,0504,1,3430,0,.,.,.,StudyVar,TV,/,P,total,meas,=,=,=,s,s,=,Source%Contrib%StudyVar%ToleranceTotalGageR&R10.6732.6622.87Repeatability3.1017.6212.34Reproducibility7.5627.5019.26Operator2.1914.8110.37Oper*Part5.3723.1716.23Part-To-Part89.3394.5266.19TotalVariation100.00100.0070.03,2287,.,0,5,.,1,3430,.,0,*,15,.,5,/,=,=,=,-,=,Tol,LSL,USL,T,P,MS,s,1067,.,0,041602,.,0,004437,.,0,2,2,=,=,=,total,MS,Contribution,s,s,GageR&R,Results,11/28/2019,ATLConfidentialInformation,GageR&R-NumberofDistinctCategories识别力与Contribution,DistinctCategories=,类别2345678,Contribution33.318.211.17.45.33.93.0,11/28/2019,ATLConfidentialInformation,GageR&R-NumberofDistinctCategories识别力的意义及判定,AutomobileIndustryActionGroup(AIAG)建议：,类别数10),11/28/2019,ATLConfidentialInformation,应该各关注哪项？测量系统还是工序能力？,Process%R&RObs.CpDecision?110%0.5?260%1.4?360%0.5?470%6.5?,%R&RvsCapability,11/28/2019,ATLConfidentialInformation,Process%R&RObs.CpDecision?110%0.5Capability260%1.4Measurement360%0.5MaybeBoth470%6.5Measurement,%R&RvsCapability,应该各关注哪项？测量系统还是工序能力？,11/28/2019,ATLConfidentialInformation,5.测量系统变异性的影响,I型错误(一个好的零件被误判为坏的，生产者风险),II型错误(一个坏的零件被误判为好的，消费者风险),11/28/2019,ATLConfidentialInformation,零件尺寸分区,LSL中心值USLIIIIIIIII,II区的宽度是多少？,I区：坏零件永远被测量为坏零件II区：可能作出错误决定的区域III区：