**Control Charts** are an important tool for process quality control. A control chart is generated by when upper and lower control limits are inserted in to a line chart representing changes in a variable over a given period of time. Control charts are an important member of the six sigma methodology and help in visually ascertaining the quantum (and trend) of variation observed in a process. The upper and lower quality control limits in a control chart need not be process (or product) specification limits. In many cases they are set narrower in order to ensure that errors in the process are caught well before they reach a magnitude that threatens the process acceptance limits or quality control limits.

One can create a **control chart in Excel** with relative ease. If needed, multiple control limits can be included in the control chart so as to get early indicators of minor process control limit breaches. The minor controls limits in such a case are set narrower than the major control limits and therefore will be violated earlier than the major ones.

## To create a Six Sigma Control Chart in Excel with upper and lower control limits:

1. Ensure that the data is nicely laid out in a single column. For the purpose of this tutorial, we assume that we have data worth 30 days and is present in the first column from cell A1 to A30 in a worksheet named ‘Control Chart’.

2. While creating the various series in control chart, we are going to make frequent use of the named range functionality. (Read more about **creating chart with named range** here.)

Now, click on ‘Insert” -> ‘Name’ -> ‘Define’ in the menu. It will open up the ‘Insert Name’ dialog box as shown in the picture below.

One by one create the following named ranges:

As you can see, we have created named range for the data series, average or the mean of the series and the lower and upper control limits.

3. Insert a line chart using the ‘Insert’ -> ‘Chart’ option. In the ‘Chart Source Data’, enter the ‘data range’ as =’Control Chart’!data. (Normally we would’ve entered the source data range as =’Control Chart’!$A$1:$A$30. However since we have already created a named range that refers to that data range, we will use it instead.)

The first series in the control chart comes out looking something like this:

4. Format the chart and remove ‘chartjunk’. Right click on the chart and select ‘Source Data’. Click on the ‘Add’ button and insert new series for the average and lower and upper statistical control limits.

Once we are done, the control chart looks something like this:

5. The series we inserted in point 4 all appear as points on the chart. Now one by one right-click on each of the points, select ‘Chart Type’ and in the box that appears, change the chart type to XY Scatter. (Shortcut – You can do this step once for the first point and for the subsequent points, simply select the point and press F4.)

6. Once step 5 is complete, double-click on each of the points and select the X Error Bars tab. In the custom error box enter a relatively large amount in both the + and – errors (say 10000). Repeat this step for all the series apart from one representing the main data.

7. Once we are done with point 1 to 6, the control chart comes out looking like the one shown below. From this point onwards, its smooth sailing.

8. Right-click on the chart and select ‘Chart Options’. In the ‘Data Labels’ tab, enable both the ‘Series Name’ and the ‘Value’. Ok….bear with me….this IS an ugly looking control chart but redemption is at hand ðŸ™‚

9. In the Control chart, carefully click on any one of the lables of the main data series (the one that represents the data being plotted). Press delete. This leaves us with only the value and series name for all the remaining series. Now select any label. (Two successive slow single clicks on the same label). Move that label out to the extreme right. Move all the other labels as well by selecting each one and pressing F4.

Right click on the chart and select ‘Source Data ‘. One by one modify the ‘Name’ of each of the data series and give it a more descriptive name. We use LCL1, LCL2, LCL3, UCL1, UCL3, UCL3 and AVG. The name has to be entered in the format shown below.

Once we are done with this step, our six sigma control chart appears as this.

10. One by one, right-click on each point representing the control limits in the chart and the average and select ‘Format Data Series’. In the ‘Patterns’ options box, set ‘Marker’ to none. Now click on each of the lines and provide proper shading to bands. In our example, we use lighter shades for narrower control limits and darker shades for the outer and more critical quality control limits. If you add markers for 3 limits (+/- 1, 2 and 3), the chart becomes a proper six sigma control chart.

And there we are with our neat looking six sigma control chart.

Your formula for average deducts one standard deviation. Probably an oversight when you got into the copy and paste rhythm.

June 25th, 2009 at 8:40 amThanks Jon. Rectified.

June 25th, 2009 at 2:22 pmthanks for u guidance

July 10th, 2011 at 3:19 pmWould love to see this updated. The Chart Wizard was removed from the product when they shipped Excel 2007. How do you do this for Excel 2010 and beyond? Would be incredibly useful to all of us more recent readers…

December 18th, 2015 at 11:54 pmThis website is completely gret. I’ve search these info

March 31st, 2018 at 11:47 ama whole lot and I view it that is professional, easy to understand.

I congratulate you because of this research that I’ll recommend to people around.

I request you to visit the gpa-calculator.co site where each pupil or learner can find ratings gpa rating.

Thank you!