(英) |
Business process management (BPM) has been recognized to be important for efficient businesses.
BPM involves some steps such as understanding actual business processes, analyzing inefficiencies and their causes, exploring solutions, and applying the best solutions to the actual businesses.
To benefit from BPM, it is indispensable to carry out theses steps continuously.
Analyzing causes of inefficiencies, however, needs expert knowledge and enormous efforts, and takes a long period.
In this paper, we propose a method to support the business process analysis.
Our method can detect causes of inefficiencies based on execution logs, which are automatically stored in OSS.
In order to detect the causes, our method finds variations of process patterns which are strongly related to variations of efficiency.
We also apply this method to an actual execution log from OSS and show its effect. |