Gage Run Chart

 

Overview  |  How to  |  Data  |  Example

 

 

 

Overview

 

The Gage Run Chart plots the measurements by operator and by part, and a reference line at the overall mean.  It is used to visualise measurement between different operators and parts.

 

 

 

 

 

How to

 

1.       Choose ProcessMA > Quality Tools > Gage R and R > Gage Run Chart.

 

2.       In Measurement, select the column containing the measurement data.

 

3.       In Part, select the column containing the part indicators.

 

4.       In Operator, select the column containing the operator indicators.

 

5.       Click OK.

 

 

Optional

 

6.       In Trial, select the column containing trial numbers.

 

7.       In Historical mean, enter a value for the reference line, else the mean of the measurements will be used.

 

 

Note       To select a column of data into a textbox, double-click on any of the column names shown in the list on the left of the dialog box while in the textbox.

 

 

 

 

 

Data

 

Measurement: Numeric.

               

Part: Text or Numeric; Must contain equal number of data points as the Variable.

 

Operator: Text or Numeric; Must contain equal number of data points as the Variable.

 

Trial: Text or Numeric; Must contain equal number of data points as the Variable.

 

Historical mean: Numeric.

 

 

 

 

 

Example

 

You collected measurements made by 3 different operators on 10 different parts.  You want to use the Gage Run Chart to assess the measurement differences between operators and parts.

 

1.       Open worksheet ProcessMA > Tools > Data Files > Gage.xls.

 

2.       Choose ProcessMA > Quality Tools > Gage R and R > Gage Run Chart.

 

3.       In Measurement, select A – Measurement.

 

4.       In Part, select B – Part.

 

5.       In Operator, select C – Operator.

 

6.       Click OK.

 

 

 

 

Interpretation

 

From the chart, it seems that most of the variation is due to differences between parts.  It also appears that Operator 1 is relatively inconsistent and Operator 2’s second measurement is frequently smaller than the first measurement.