Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Process mining includes the automated discovery of Petri nets from event logs. These event logs are the starting point for various discovery and analysis techniques of the process. In this paper process model is developed using colored Petri nets (CPNs) and the supporting software package CPN Tools. The restaurant process model is represented for the analysis using a combination of process mining and simulation. The goal of process mining is deducing knowledge (e.g. a process model, average throughput time) from event logs. The knowledge obtained this way can increase understanding of the processes and can help with redesigning them if needed. The bottlenecks can be detected with Process mining. We evaluate the indicators performance, such as throughput time, for different alternative process. Analysis results show that that what type of changes may be beneficial.