The optimization potentials in a process are sections or activities whose change can improve the process performance. Optimization potentials are therefore possibilities for improvement within a process. For example, these can be bottlenecks, process loops or inefficient process flows. The optimization potential is realized by eliminating the identified weak points. This can help the process to achieve greater effectiveness, efficiency or conformity. Optimization potentials are often recognized in the course of an analysis of the processes.
How do I identify optimization potentials with the help of Process Mining?
The goal of a Process Mining analysis is, among other things, the uncovering of optimization potentials. The Process Mining analysis methods approach this topic in different ways:
1. Identify optimization potentials in Process Discovery
Here the real process data is visualized. Based on this representation, performance weak points such as excessive idle times, activities or process loops are identified. Process loops can be recognized directly from the visualization: If an activity that has already been performed is repeated for a process variant, a process loop exists. The arrow, which symbolizes the idle time between the activities, leads to a previous activity. There are various ways to examine the performance of activities and idle times. For example, in LANA Process Mining, the longest idle time and the most time-consuming activity are automatically marked in red. In addition, you can define certain filter settings so that, for example, only all idle times, activities, or cases that exceed a certain time value are displayed.
2. Identify optimization potentials in Conformance Checking
When comparing the actual process with a target process, the focus is on uncovering unplanned process sequences. The target process model is defined by the user. In LANA an already prepared model can be loaded, or a model based on the actual process – the real process – can be created by the user. In this way, the user can define which process sequences are undesirable and are displayed as process deviations.
3. Identifying and realizing optimization potentials by means of the automated Root Cause Analysis
In this analysis step, the weak points identified by Process Discovery or Conformance Checking are examined more closely. Identified attributes or attribute combinations provide the user with specific information about the circumstances and causes of optimization potentials. On the basis of these clues, the user can derive concrete improvement measures so that the optimization potential can be realized.
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