【正文】 uracy B. Stability C. Linearity D. Resolution E. Precision Time 2 Time 1 1. 2. 3. 4. 5. Reference Value Observed Average Value Presentation 35 Type 1 Gage Study 類型 1量具分析 Purpose Of Type 1 Gage Study ? To determine how much of your observed process variation is due to measurement system variation. 確定觀測(cè)到的過(guò)程變異有多少是由于測(cè)量系統(tǒng)本身的變異 ? To bined effects of bias and repeatability based on multiple measurements from a single part. 通過(guò)對(duì)單個(gè)產(chǎn)品的多次測(cè)量來(lái)計(jì)算偏倚和重復(fù)性的影響 ? Type 1 Gage Study should be done prior to conducting other gage repeatability and reproducibility studies. To determine if calibration is need 量具的分析應(yīng)該在做重復(fù)性和再現(xiàn)性之前做 ,來(lái)確定是否量具需要校準(zhǔn)。 1) average of repeated measurements from more accurate measuring equipment用更準(zhǔn)確的測(cè)量設(shè)備測(cè)量多次取平均值 2) values endorsed by a professional group專業(yè)機(jī)構(gòu)認(rèn)可的值 3) values agreed upon by the affected parties客戶認(rèn)可的值 4) values defined by law法律規(guī)定的值 ? To measure the master sample 25 times in same condition at least, record the measurements. 在相同條件下重復(fù)測(cè)量標(biāo)準(zhǔn)樣品至少 25次，記錄每次測(cè)量數(shù)據(jù) Study Method 在此處輸入測(cè)量數(shù)據(jù) 在此處輸入標(biāo)準(zhǔn)值 在此處輸入測(cè)量值 的公差規(guī)格 Example of Type 1 Gage Study 1 Open the worksheet . 2 Choose Stat Quality Tools Gage Study Type 1 Gage Study. 3 In Measurement data, enter Diameter. 4 In Reference, type . 5 Under Tolerance, choose Upper spec lower spec and type . Click OK. Example of Type 1 Gage Study 4 64 13 63 12 62 11 61 1611 2 . 3 1 01 2 . 3 0 51 2 . 3 0 01 2 . 2 9 5O b s e r v a t i o nDiameter R e f R e f + 0 . 1 0 * T o lR e f 0 . 1 0 * T o lR e f e r e n c e 1 2 . 3 0 5M e a n 1 2 . 3 0 2 6 9S t D e v 0 . 0 0 3 6 3 16 * S t D e v ( S V ) 0 . 0 2 1 7 8 3T o l e r a n c e ( T o l ) 0 . 0 5B a s i c S t a t i s t i c sB i a s 0 . 0 0 2 3 1T 4 . 5 0 6 8 9 2P V a l u e 0 . 0 0 0( T e s t B i a s = 0 )B i a sC g 0 . 4 6C g k 0 . 2 5C a p a b i l i t y% V a r ( R e p e a t a b i l i t y ) 4 3 . 5 7 %% V a r ( R e p e a t a b i l i t y a n d B i a s ) 8 1 . 1 0 %G a g e n a m e : D a t e o f s t u d y : R e p o r t e d b y : T o l e r a n c e : 0 . 0 5M i s c : R u n C h a r t o f D i a m e t e rT y p e 1 G a g e S t u d y f o r D i a m e t e r1）分析結(jié)果顯示偏倚量是 ， P值等于 0說(shuō)明測(cè)量系統(tǒng)的偏倚是統(tǒng)計(jì)顯著的 同樣從圖上可以看出大部分的測(cè)量數(shù)據(jù)都低于標(biāo)準(zhǔn)值。通常 Cg和 CgK要求大于 3） %Var (repeatability) 由于 Cg來(lái)確定， %Var (repeatability and bias)由 Cgk來(lái)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(lái) ? 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