![]() Lines that are not parallel or that cross indicate that an operator's ability to measure a part consistently depends on which part is being measured. Lines that are coincident indicate that the operators measure similarly. The operator*part interaction graph Shows whether the lines that connect the measurements from each operator are similar or whether the lines cross each other. Ideally, the measurements for each operator vary an equal amount. A straight horizontal line across operators indicates that the mean measurements for each operator are similar. Measurements by operator graph Shows whether differences between operators are small compared to the differences between parts. Multiple measurements for each part that are close together indicate small variation between the measurements of the same part. Measurements by part graph Shows whether multiple measurements for each part are close together. Thus, you should expect more variation between part averages, and the graph should show that most points fall beyond the control limits. The parts that you choose for a gage R&R study should represent the typical part-to-part variability. Xbar chart by operator Shows whether most points fall beyond the control limits. If the operators measure consistently, the points will fall within the control limits. R chart by operator Shows whether any points fall above the upper control limit. In an acceptable measurement system, the largest component of variation is part-to-part variation. The gage R&R graphs provide information about the measurement system.Ĭomponents of variation graph Shows whether the largest of component of variation is part-to-part variation. For more information, go to Is my measurement system acceptable?. Because the %Study Var, the %Tolerance, and the %Process are all greater than 10%, the measurement system might need improvement. Minitab displays the %Tolerance column when you enter a tolerance value, and Minitab displays the %Process column when you enter a historical standard deviation.Īccording to AIAG guidelines, if the measurement system variation is less than 10% of the process variation, then the measurement system is acceptable. The %Study Var uses the process variation, as defined by 6 times the process standard deviation. Use the percent study variation (%Study Var) to compare the measurement system variation to the total variation. Values for %Process are not displayed because they are identical to values for Historical standard deviation is used to calculate some values for StdDev, Source StdDev (SD) (6 × SD) (%SV) (SV/Toler)
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