GRR-计数型(范例填写)

测量系统分析MSAGR&R---数据记录表DataWorksheet,,,,,,,,,,,,,

,,,,,,,,,报告编号ReportNO.,,,,

,,,,,,,,,,,,,,

"量具名称

EquipmentName",工具显微镜,,"产品类型

Description",,轴承,,"测量人员

OperatorＡ",,A,,"测试日期

TestTate",,2017/6/27

,,,,,,,,,,,,,,

"量具编号

EquipmentNO.",JS-005,,"基件编号

P/N",,JS-ZC-001,,"测量人员

OperatorＢ",,B,,"平价人数

Appraisers",,3

,,,,,,,,,,,,,,

"参数规格

Dimension",0,,"规格上限

USL",,2,,"测量人员

OperatorＣ",,C,,"试验次数

Trials",,3

,,,,,,,,,,,,,,

"单位

Unit",MM,,"规格下限

LSL",,-2,,"过程变差/过程能力

ProcessVariation(σ/PP)",,5.15,,"样品数

Samples",,50

,,,,,,,,,,,,,,

分析时机AnalyticalOccasion,,,,,,,,,,,,,

,,,,,,,,,,,,,,

Part,A-1,A-2,A-3,B-1,B-2,B-3,C-1,C-2,C-3,Reference,RefValue,,Code

1,1,1,1,1,1,1,1,1,1,1,0.476901,,+

2,1,1,1,1,1,1,1,1,1,1,0.509015,,+

3,0,0,0,0,0,0,0,0,0,0,0.576459,,-

4,0,0,0,0,0,0,0,0,0,0,0.566152,,-

5,0,0,0,0,0,0,0,0,0,0,0.57036,,-

6,1,1,0,1,1,0,1,0,0,1,0.544951,,×

7,1,1,1,1,1,1,1,0,1,1,0.465454,,×

8,1,1,1,1,1,1,1,1,1,1,0.502295,,+

9,0,0,0,0,0,0,0,0,0,0,0.437817,,-

10,1,1,1,1,1,1,1,1,1,1,0.515573,,+

11,1,1,1,1,1,1,1,1,1,1,0.488905,,+

12,0,0,0,0,0,0,0,1,0,0,0.559918,,×

13,1,1,1,1,1,1,1,1,1,1,0.542704,,+

14,1,1,0,1,1,1,1,0,0,1,0.454518,,×

15,1,1,1,1,1,1,1,1,1,1,0.517377,,+

16,1,1,1,1,1,1,1,1,1,1,0.531939,,+

17,1,1,1,1,1,1,1,1,1,1,0.519694,,+

18,1,1,1,1,1,1,1,1,1,1,0.484167,,+

19,1,1,1,1,1,1,1,1,1,1,0.520496,,+

20,1,1,1,1,1,1,1,1,1,1,0.477236,,+

21,1,1,0,1,0,1,0,1,0,1,0.45231,,×

22,0,0,1,0,1,0,1,1,0,0,0.545604,,×

23,1,1,1,1,1,1,1,1,1,1,0.529065,,+

24,1,1,1,1,1,1,1,1,1,1,0.514192,,+

25,0,0,0,0,0,0,0,0,0,0,0.599581,,-

26,0,1,0,0,0,0,0,0,1,0,0.547204,,×

27,1,1,1,1,1,1,1,1,1,1,0.502436,,+

28,1,1,1,1,1,1,1,1,1,1,0.521642,,+

29,1,1,1,1,1,1,1,1,1,1,0.523754,,+

30,0,0,0,0,0,1,0,0,0,0,0.561457,,×

31,1,1,1,1,1,1,1,1,1,1,0.503091,,+

32,1,1,1,1,1,1,1,1,1,1,0.50585,,+

33,1,1,1,1,1,1,1,1,1,1,0.487613,,+

34,0,0,1,0,0,1,0,1,1,0,0.449696,,×

35,1,1,1,1,1,1,1,1,1,1,0.498698,,+

36,1,1,0,1,1,1,1,0,1,1,0.543077,,×

37,0,0,0,0,0,0,0,0,0,0,0.409238,,-

38,1,1,1,1,1,1,1,1,1,1,0.488184,,+

39,0,0,0,0,0,0,0,0,0,0,0.427687,,-

40,1,1,1,1,1,1,1,1,1,1,0.501132,,+

41,1,1,1,1,1,1,1,1,1,1,0.513779,,+

42,0,0,0,0,0,0,0,0,0,0,0.566575,,-

43,1,0,1,1,1,1,1,1,0,1,0.46241,,×

44,1,1,1,1,1,1,1,1,1,1,0.470832,,+

45,0,0,0,0,0,0,0,0,0,0,0.412453,,-

46,1,1,1,1,1,1,1,1,1,1,0.493441,,+

47,1,1,1,1,1,1,1,1,1,1,0.486379,,+

48,0,0,0,0,0,0,0,0,0,0,0.587893,,-

49,1,1,1,1,1,1,1,1,1,1,0.483803,,+

50,0,0,0,0,0,0,0,0,0,0,0.446697,,-

,,,,,,,,,,,,,,

,A*B-Crasstabulation,,,,,,,A*REF-Crasstabulation,,,,,

,,,,B,,Total,,,,,REF,,Total

,,,,0,1,,,,,,0,1,

,A,0,Count,44,6,50,,A,0,Count,45,5,50

,,ExpectedCount,,15.7,34.3,50.0,,,ExpectedCount,,16.0,34.0,50.0

,,1,Count,3,97,100,,,1,Count,3,97,100

,,ExpectedCount,,31.3,68.7,100.0,,,ExpectedCount,,32.0,68.0,100.0

,Total,Count,,47,103,150,,Total,Count,,48,102,150

,,ExpectedCount,,47.0,103.0,150.0,,,ExpectedCount,,48.0,102.0,150.0

,,,,,,,,,,,,,,

,B*C-Crasstabulation,,,,,,,B*REF-Crasstabulation,,,,,

,,,,C,,Total,,,,,REF,,Total

,,,,0,1,,,,,,0,1,

,B,0,Count,42,5,47,,B,0,Count,45,2,47

,,ExpectedCount,,16.0,31.0,47.0,,,ExpectedCount,,15.0,32.0,47.0

,,1,Count,9,94,103,,,1,Count,3,100,103

,,ExpectedCount,,35.0,68.0,103.0,,,ExpectedCount,,33.0,70.0,103.0

,Total,Count,,51,99,150,,Total,Count,,48,102,150

,,ExpectedCount,,51.0,99.0,150.0,,,ExpectedCount,,48.0,102.0,150.0

,,,,,,,,,,,,,,

,A*C-Crasstabulation,,,,,,,C*REF-Crasstabulation,,,,,

,,,,C,,Total,,,,,REF,,Total

,,,,0,1,,,,,,0,1,

,A,0,Count,43,7,50,,C,0,Count,42,9,51

,,ExpectedCount,,17.0,33.0,50.0,,,ExpectedCount,,16.3,34.7,51.0

,,1,Count,8,92,100,,,1,Count,6,93,99

,,ExpectedCount,,34.0,66.0,100.0,,,ExpectedCount,,31.7,67.3,99.0

,Total,Count,,51,99,150,,Total,Count,,48,102,150

,,ExpectedCount,,51.0,99.0,150.0,,,ExpectedCount,,48.0,102.0,150.0

,,,,,,,,,,,,,,

,Kappa,A,B,C,,,,%Appraiser,,,%Scorevs.Attribute2,,

,A,—,0.86,0.78,,Source,,A,B,C,A,B,C

,B,0.86,—,0.79,,TotalInspected,,50,50,50,50,50,50

,C,0.78,0.79,—,,#Matched,,42,45,40,42,45,40

,REF,0.88,0.92,0.77,,FalseNegative(appraiserbiasedtowardrejection),,,,,0,0,0

,,,,,,FalesPositive(appraiserbiasedtowardacceptance),,,,,0,0,0

,,Effectiveness,MissRatr,FalseAlarmRate,,Mixed,,,,,8,5,0

,A,84%,6%,5%,,95%UCI,,93%,97%,90%,93%,97%,90%

,B,90%,6%,2%,,CalclatedScore,,84%,90%,80%,84%,90%,80%

,C,80%,13%,9%,,95%LCI,,71%,78%,66%,71%,78%,66%

,,,,,,,,,,,,,,

Decision,,Effectiveness,MissRatr,FalseAlarmRate,,,,System%EffectiveScore3,,,Syetem%EffectiveScorevs.Reference4,,

Measurementsystem,,,,,,,,,,,,,

Acceptablefortheappraiser,,≥90%,≤2%,≤5%,,Totalinspected,,,50,,,50,

Marginallyacceptablefortheappraiser-mayneedimprovement,,≥80%,≤5%,≤10%,,#inAgreement,,,39,,,39,

,,,,,,95%UCI,,,88%,,,88%,

Unacceptablefortheappraiser-needsimprovement,,＜80%,＞5%,＞10%,,CalculatedScore,,,78%,,,78%,

,,,,,,95%LCI,,,64%,,,64%,

,,,,,,,,,,,,,,

GR&R,判定,,,,,,,,,,,,

＜10%,通常被认为是一个可接受的测量体系。当排列或分类零件，需要加强过程控制时被推荐运用。,,,,,,,,,,,,

,,,,,,样本：,,,,,,,

,,,,,,"对于产品控制的情况下，当测量结果与决定准则是确定“符合或不符合某特性的规范”（如：100%检验或抽样），样品（或标准）必须被选择，但不需要包括整个过程范围。测量系统的评估是以特性公差为基础（如对公差的%GRR）。

在过程研究情况下，当测量结果与决定准则是确定“过程稳定性、方向以及是否符合自然的过程变差”（如：SPC、过程控制、能力及过程改进），在整个作业过程范围