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【正文】 rom the 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. Time: 15 mins. Instructions: Working in small groups, discuss both situations below. Be prepared to share your answers with the class. Checking a Measurement System for Discrete Data 47 Revision Exercise: 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: StatQuality ToolsAttribute Gage Ramp。R Study 48 Minitab Follow Along: Attribute Gage Ramp。R, cont. Columns containing the appraised attributes 49 Exercise: Answers Use your notebook to follow along. 50 Exercise: Answers, cont. Use your notebook to follow along. 51 Improving a Discrete Measurement System Assessing the accuracy, repeatability, and reproducibility of a discrete measurement system ? Discrete data are usually the result of human judgment (―which category does this item belong in?‖) ? When categorizing items (good/bad。 type of call。 reason for leaving), you need a high degree of agreement on which way an item should be categorized ? The best way to assess human judgment is to have all operators categorize several known test units –Look for 100% agreement –Use disagreements as opportunities to determine and eliminate problems 52 References amp。 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。R Case Study IS Help Desk See Notes Page 54 Case Study cont’d See Notes Page 55 Case Study cont’d See Notes Page 56 Case Study cont’d See Notes Page 57 Case Study cont’d See Notes Page 58 Case Study cont’d See Notes Page 59 Case Study cont’d See Notes Page 60 Case Study cont’d See Notes Page 61 Case Study cont’d See Notes Page 62 Case Study cont’d See Notes Page 63 Case Study cont’d See Notes Page 64 Case Study cont’d See Notes Page 65 Case Study cont’d See Notes Pag
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