Probably, the default process behaviors that are provided by the mpmX Root Cause Analysis Template do not cover every optimization potential in a specific process. Therefore, it is possible to aggregate custom process optimization potentials to the root cause analysis.

 

First of all, we need to specify some guideline to create a new problem.

 

•Problems need to be created within a table (existing or new) which is connected to the mpmX Data Model by either the key field "CaseID" or the key field "ProcessPathUniqueNo".

•The optimization potential needs to be created as a binary flag within the data model to be recognized correctly by the RCA. The value "1" of this flag means that the case or process variant shows a problem while the value "o" means that the case or process variant shows no problem.

•It is important, that the binary fields get a unique and readable name, because this field names will be displayed as the anomaly descriptions in the front end.

 

 

 

To create a new optimization potential for the root cause analysis the following steps are recommended:

 

1.Define the optimization potential and think about how it can be detected in the data.

2."Simulate" the calculation of the optimization potential in the front end to understand which fields of the data model are included and which fields need to be calculated in the script.

3.Create a new tab in the script editor, place it before the tab "5. Root Cause Analysis" and give it a name, for example "Custom RCA-Rules".

4.Calculate the new flag and connect it either to the CaseID or the ProcessPathUniqueNo.

 

 

5.Write the new flag into the inline table "RootCauseAnalysisFlags" that was introduced in the section Use Root Cause Analysis on Your Data.

In the example below the flag "My new process optimization potential" was added in the first line.

Decide on which dashboard you want to display the root cause results for the optimization potential by adding the sheet name in the column "RelatedSheet".

 

RootCauseAnalysisFlags:

load * inline 

 

 

 

6.Run the data load. The new problem will be investigated and the results will automatically show up in the front end.

 

If any problem with the custom optimization potential should occur, think again: is the optimization potential a flag with the values "1" or "0" for a process variant or case?