6160sigma160bb黑帶培訓(xùn)資料-160160booster_wk1_03_msa(參考版)
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【正文】 Case Study . Measurement Systems Analysis: Reference Manual. ., 1990 (Available from . (313)3583570) Wheeler, Donald J. and Lyday, Richard W. Evaluating the Measurement Process, Second Edition. Knoxville, TN: SPC Press Inc. 1989. Discrete Measurement System Case Study A TRW case Study is included as an Appendix to this section. 53 APPENDIX: Attribute Gauge Ramp。 type of call。R Study 48 Minitab Follow Along: Attribute Gage Ramp。R An IT help desk is investigating how well staff can recognise different types of calls for assistance. This exercise is based on a real case study in TRW. The case study is included as an appendix to this section. Data: C:\SixSigma\Data\ Conduct an attribute Gage Ramp。R study. ?The RSquared value es from correlating the average Gage measurement for each part against the master gage measurement (note it is the average, not the individual values) ?The accuracy (or bias) of the gage is calculated as the mean deviation from the master measurement for all of the parts. Dividing this figure by the process variation gives %Bias. 41 Using Minitab to Look for Degree of Accuracy Use your notebook to follow along. 42 Data for a Gage Linearity Study Use your notebook to follow along. 43 Entering the Gage Linearity Information Use your notebook to follow along. 44 Gage Linearity Output Use your notebook to follow along. 45 Exercise 2: Responding to Measurement Problems Objective: To gain a better understanding of how to evaluate a Gage Ramp。R study. ?The graphs amp。 Accuracy ?A Gage Ramp。R Output From Minitab, cont. Use your notebook to follow along. 31 Interpreting Gage Ramp。R ANOVA Method Focus on the following: A) p value for the operator term p .05 implies that the operators get significantly different average results. B) p value for the operator unit number term p .05 implies that the operator to operator differences are not consistent across parts. C) Number of distinct categories If the number is 5 it implies that the measurement variation is too large to adequately distinguish the part to part variation. D) The R chart by operator If it is stable, this tells is that there are no special causes in the measurement process that could be throwing off our calculations 29 Interpreting the Gage Ramp。R Analysis Use your notebook to follow along. 27 Using Gage Ramp。 they should not know which unit they are measuring when they record their results 23 Plotting the Data From a Gage Ramp。R results. 22 Data for a Gage Ramp。R ? Describes the variation of the measurement system in parison to the part variation of the process ? ? %P/T ? Describes the variation of the measurement system in parison to the part tolerances ? t ot als y s t e mtm e as ur e m e nSSRR _amp。R Study Works ?Select units or items for measuring that represent the full range of variation typically seen in the process ? Measurement systems are often more accurate in some parts of the range than in others, so you need to test them over the full range ?Have each operator measure those items repeatedly ? In order to use Minitab to analyze the results, each operator
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