Event logs generated fromsimulation of different scenarios and analysed with process mining

Each day an uncountable amount of data is generated from data driven systems. Generally this data is stored in databases or in event logs. Process mining can utilize this data and provide useful insights to business. The underlying goal of this paper is to produce event logs from simulation of different scenarios and analyse it using process mining. These scenarios try to simulate real-life situations in an office environment. An example is the fuzzy resource scenario that tries to simulate the uncertainty inherent in human activities. To achieve this goal some open-source tools were used. CPN Tools was used to build and simulate the Workflow net based on the "Handle Complaint Process" and generate event logs during simulation. ProM was used to apply process discovery and conformance checking algorithms in the event logs generated. The algorithm used in ProM was the Inductive Visual Miner. The comparison between scenarios shows a significant difference between the execution time of each simulation due the purpose of each scenario. With this type of simulation between scenarios, business owners can make simulations of possible scenarios of their business to estimate better deadlines for their clients.