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測(cè)量系統(tǒng)分析MSAGR&R---數(shù)據(jù)記錄表DataWorksheet,,,,,,,,,,,,,
,,,,,,,,,報(bào)告編號(hào)ReportNO.,,,,
,,,,,,,,,,,,,,
"量具名稱
EquipmentName",工具顯微鏡,,"產(chǎn)品類型
Description",,軸承,,"測(cè)量人員
OperatorA",,A,,"測(cè)試日期
TestTate",,2017/6/27
,,,,,,,,,,,,,,
"量具編號(hào)
EquipmentNO.",JS-005,,"基件編號(hào)
P/N",,JS-ZC-001,,"測(cè)量人員
OperatorB",,B,,"平價(jià)人數(shù)
Appraisers",,3
,,,,,,,,,,,,,,
"參數(shù)規(guī)格
Dimension",0,,"規(guī)格上限
USL",,2,,"測(cè)量人員
OperatorC",,C,,"試驗(yàn)次數(shù)
Trials",,3
,,,,,,,,,,,,,,
"單位
Unit",MM,,"規(guī)格下限
LSL",,-2,,"過(guò)程變差/過(guò)程能力
ProcessVariation(σ/PP)",,5.15,,"樣品數(shù)
Samples",,50
,,,,,,,,,,,,,,
分析時(shí)機(jī)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%,通常被認(rèn)為是一個(gè)可接受的測(cè)量體系。當(dāng)排列或分類零件,需要加強(qiáng)過(guò)程控制時(shí)被推薦運(yùn)用。,,,,,,,,,,,,
,,,,,,樣本:,,,,,,,
,,,,,,"對(duì)于產(chǎn)品控制的情況下,當(dāng)測(cè)量結(jié)果與決定準(zhǔn)則是確定“符合或不符合某特性的規(guī)范”(如:100%檢驗(yàn)或抽樣),樣品(或標(biāo)準(zhǔn))必須被選擇,但不需要包括整個(gè)過(guò)程范圍。測(cè)量系統(tǒng)的評(píng)估是以特性公差為基礎(chǔ)(如對(duì)公差的%GRR)。
在過(guò)程研究情況下,當(dāng)測(cè)量結(jié)果與決定準(zhǔn)則是確定“過(guò)程穩(wěn)定性、方向以及是否符合自然的過(guò)程變差”(如:SPC、過(guò)程控制、能力及過(guò)程改進(jìn)),在整個(gè)作業(yè)過(guò)程范圍
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