Modeling and Performance Analysis of Restaurant's Service Delivery Process Using Colored Petri Nets

Process mining includes the automated discovery of Petri nets from event logs.These event logs are the starting point for various discovery and analysis techniquesof the process. In this paper process model is developed using colored Petri nets(CPNs) and the supporting software package CPN Tools. The restaurant processmodel is represented for the analysis using a combination of process mining andsimulation. The goal of process mining is deducing knowledge (e.g. a process model,average throughput time) from event logs. The knowledge obtained this way canincrease understanding of the processes and can help with redesigning them ifneeded. The bottlenecks can be detected with Process mining. We evaluate theindicators performance, such as throughput time, for different alternative process. Analysis results show that that what type of changes may be beneficial.

Keywords:

Business process , Colored Petri nets , Performance analysis , Process mining , Bottlenecks