![]() ![]() To unfreeze the control limits, you need to delete the “Sigma” and “Limits” properties from the column, by right-clicking on the variable name and choosing “Column Info”, and under “Properties”, removing these 2 properties. ![]() This will save the control limits as properties in the “turnaround time” process variable, as indicated by the asterisk symbol now appearing next to the variable in the data table. To freeze the control limits to their values based on these 6 days, click on the little red triangle next to “Variables Control Chart” and click “Save Limits” à “In Column”. Notice the note on the bottom: “17 samples were excluded”. The XBar chart now only contains data up to Day 6. ![]() Redo the XBar Control Chart following the instructions in part 1 ( Graph à Control Chart à XBar put “Day” in “Sample Label” and “turnaround time” in “Process” click OK). This will exclude and hide rows 19 through 69, as shown in the following picture. On the top menu, click on ROWS à Exclude/Unexclude then ROWS à Hide/Unhide. To do that, select all the post-intervention rows, starting at Day 7 (row 19) till the end of the table. You know that you will implement an intervention on Day 7, and you want to be able to freeze the control limits to what they are in baseline, so that you can visualize whether or not any change is taking place after you intervene, compared to baseline. You want to plot the data that you have collected so far on the first 6 days, to look at your process at baseline and judge whether it is in control. Suppose you were collecting your data in real time, and you are at Day 6. Click “Add” then “Ok”.Ī blue reference line will now be added on the X axis, labeled as “Intervention”, as follows:įreezing Control Limits in a Control Chart Click on the black square next to Color and pick a different color, such as blue. Under “Reference Lines”, type “8” in “Value” and type “Intervention” in “Label”. Double-click on the X axis to open the “X Axis Specification” menu. ![]() Suppose you want to add a reference line on the X-axis that indicates the start of the intervention, on Day 7. To color the zones, click on the same red triangle as before and choose “Shade Zones”: If you want to add the control zones, click on the little red triangle next to “XBar of turnaround time”Ĭlick on “Show Zones” to show zones A, B, and C around the centerline, as follows: The X axis represents day the Y axis represents the AVERAGE turnaround time for each day. The average, upper, and lower control limits are shown on the XBar chart. You will get an XBar Control Chart and a Range Chart, as follows: Put “Day” in the “Sample Label” and “Turnaround Time” in the “Process”, as shown in the following picture. To make an XBar Control Chart using all the data available in JMP, go to Analyze>Quality and Process>Control chart>XBAR. On Day 7 (observation number 19), an intervention takes place to reduce turnaround time. There are several measurements of turnaround time within a single day therefore, you can make an XBar Control Chart. Do the "action" part of the dialog as part of a button script:Ī modal dialog will block all other input to other windows, while the second approach would allow you to continue using other windows in JMP at the same time.Example: You have a dataset with the variables Day, Turnaround Time, and Phase. In a modal dialog the boxes are deleted before execution continues, so this is important!Ģ. In this example, the <<Return Result option turns all of the display box information into result data. In your script, variable "cb1" is a DisplayBox. Graph Builder(Variables(X(:age), Y(:height))) Graph Builder(Variables(X(:age), Y(:weight))), Rc = New Window("Choose the parameters to be plotted", Use a modal dialog to pause the execution of the script while waiting for input: New Window( "Choose the parameters to be plotted",ĭo you have any idea how to do prompting for input in a dialog, here are two common ways to do things:ġ. I tried the following script to train but it always displays "Failed" in the end no matter if I ticked the box, so it does not really check the box: I was initially thinking of calling each check box indivudally and then do a succession of "if" like "if cb1 is ticked, then do the graph, if not, then if cb2 is ticked etc. I am currently able to make the first step (new window and list with check boxes), and I know how to script to create a graph, but I miss the link between them. Then for the ones that are ticked, open a graph builder with the corresponding variables. Opens a new window showing "Select the parameters you want to plot" with a list of parameters with check box for each, and the operator would chose which ones he wants to plot by ticking them.Ģ. I am trying to make a script which would work this way:ġ. ![]()
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