【正文】 ? 數(shù)據(jù)錄入員將小組答案錄入 Attribute R ? 全部完成后，老師將提供標(biāo)準(zhǔn)答案 。 ? 發(fā)給每組 3份 Attribute Gage RR 樣本。通常 Cg和 CgK要求大于 3） %Var (repeatability) 由于 Cg來確定， %Var (repeatability and bias)由 Cgk來確定 . %Var值小表示 測(cè)量值變異相對(duì)公差而言小 .能力指標(biāo) % Var ＝ 15%. Presentation 41 Attribute Measurement System Studies 離散型數(shù)據(jù) 測(cè)量系統(tǒng)研究 Purpose Of Attribute MSA ? Assess standards against customers’ requirements 對(duì)顧客要求的標(biāo)準(zhǔn)進(jìn)行評(píng)定 ? Determine if all appraisers use the same criteria 確定所有的檢驗(yàn)者使用相同的標(biāo)準(zhǔn) ? Quantify repeatability and reproducibility of operators 量化操作者的重復(fù)性與再現(xiàn)性 ? Identify how well measurement system conforms to a “known master” 確定測(cè)量系統(tǒng)對(duì)已知標(biāo)準(zhǔn)的符合程度 ? Discover areas where: 發(fā)現(xiàn)一些領(lǐng)域： – Training is needed 需要培訓(xùn) – Procedures are lacking 缺少規(guī)程 – Standards are not defined 標(biāo)準(zhǔn)定義不清晰 Sample Rule ? 30 samples at least, 3 appraisers and twice tests 需要 3個(gè)測(cè)量者，最少 30個(gè)樣本與每個(gè)樣本 2次測(cè)試 ? 40%~45% for pass samples 40%~45%的好樣本 ? 40%~45% for fail samples 40%~45%的壞樣本 ? 10% for equivocal samples (if possible) 10%的邊緣樣本 ? The criteria for samples should be determined in advance. 樣本的好壞標(biāo)準(zhǔn)需提前確定下來 ? Make sure the randomization for the test 保證樣本測(cè)試的隨機(jī)性 Attribute MSA Excel Method ? Allows for RR analysis within and between appraisers 可以分析評(píng)估者之間的 RR ? Test for effectiveness against standard 對(duì)標(biāo)準(zhǔn)判斷的有效性 ? Limited to nominal data at two levels 只能用于兩個(gè)水平的名義性數(shù)據(jù) DATE: 1/4/2023 Attribute Legend 5 (used in putations) NAME: Acme Employee 1 Pass PRODUCT: Widgets 2 Fail BUSINESS: Earth Products Known Population Sample Attribute Try 1 Try 2 Try 1 Try 2 Try 1 Try 2 1 Pass Pass Pass Pass Pass Pass Pass 2 Pass Pass Pass Pass Pass Pass Pass 3 Pass Pass Pass Pass Pass Pass Pass 4 Pass Pass Pass Pass Pass Fail Pass 5 Fail Fail Fail Fail Fail Pass Fail 6 Fail Pass Pass Pass Pass Pass Pass 7 Pass Pass Pass Pass Pass Pass Pass 8 Pass Pass Pass Pass Pass Pass Pass 9 Fail Fail Fail Fail Fail Fail Fail 10 Pass Pass Pass Pass Pass Pass Pass 11 Pass Pass Pass Pass Pass Pass Pass 12 Pass Pass Pass Pass Pass Pass Pass 13 Pass Pass Pass Pass Pass Pass Pass 14 Pass Pass Pass Pass Pass Fail Pass 15 Fail Fail Fail Fail Fail Pass Fail 16 Pass Pass Pass Pass Pass Pass Pass 17 Pass Pass Pass Pass Pass Pass Pass 18 Pass Pass Pass Pass Pass Pass Pass 19 Fail Fail Fail Fail Fail Fail Fail 20 Pass Pass Pass Pass Pass Pass Pass 21 Pass Pass Pass Pass Pass Pass Pass 22 Pass Fail Fail Pass Pass Pass Pass 23 Pass Pass Pass Pass Pass Pass Pass 24 Pass Pass Pass Pass Pass Fail Pass 25 Fail Fail Fail Fail Fail Fail Fail 26 Pass Pass Pass Pass Pass Pass Pass 27 Pass Pass Pass Pass Pass Pass Pass 28 Pass Pass Pass Pass Pass Pass Pass 29 Fail Fail Fail Fail Fail Fail Fail 30 Pass Pass Pass Pass Pass Pass Pass Operator 1 Operator 2 Operator 3 Attribute MSA Example Open file Scoring Example ? 100% is target for all scores – 100% indicates training required ? % Appraiser score = repeatability ? Screen % Effectiveness Score = reproducibility ? % Score vs. Attribute – individual error against a known population ? Screen % Effective vs. Attribute – Total error against a known population % % % % % % SCREEN % EFFECTIVE SCORE % SCREEN % EFFECTIVE SCORE vs. ATTRIBUTE % % APPRAISER SCORE % SCORE VS. ATTRIBUTE Statistical Report Statistical Report Statistical Report Cont MINITAB Method Data Entry ? Same data as Excel example 與 Excel例中相同的數(shù)據(jù) ? Arranged in multiple columns 數(shù)據(jù)存放在多欄中 ? Data can also be stacked in single column 數(shù)據(jù)也可以堆疊在單獨(dú)一欄中 Attribute Study MINITAB Analysis Attribute Study MINITAB Analysis 1. Select “Multiple Columns” if data is unstacked 2. Enter number of appraisers and trials 3. Enter name of column with “Known” 4. Select OK 1. Select “Single Column” if data is stacked A p p r a i s e rPercent3211 0 09 08 07 06 09 5 . 0 % ? C IP e r c e n tA p p r a i s e rPercent3211 0 09 08 07 06 09 5 . 0 % ? C IP e r c e n tD a t e o f s t u d y : R e p o r t e d b y :N a m e o f p r o d u c t :M i s c :A s s e s s m e n t A g r e e m e n tW i t h i n A p p r a i s e r s A p p r a i s e r v s S t a n d a r dMINITAB Graphical Output Lower variation within appraiser Higher variation within appraiser Lower variation appraiser vs. standard Higher variation appraiser vs. standard Not included if no “Known” MINITAB Session Window Results Each Appraiser vs. Standard Assessment Agreement Appraiser Inspected Matched Percent (%) % CI Bob 30 28 ( , ) Sue 30 29 ( , ) Tom