Process Mining and Simulation

43:08Recorded on 20 June 2019 at TU Eindhoven

Sudhendu Rai(AIG, United States)

Sudhendu developed a ‘Process Wind Tunnel’ framework by combining process mining and simulation. Based on real-world data, discrete-event simulation optimization is used for improving insurance business processes within AIG.

Synopsis

With roots that trace back to 1919, AIG is a global insurance company with operations in more than 80 countries and jurisdictions. Sudhendu Rai is a Lead Scientist and Head of Data-Driven Process Optimization in the COO Office of AIG’s Investments organization.

Sudhendu presents their ‘Process Wind Tunnel’ framework to evaluate and optimize process structure and parameters prior to committing to a final process design. In the same way as wind tunnels are used to test the aerodynamics of a physical object, a discrete-event simulation can be used to explore alternative “What-If” scenarios for a process without implementing them (yet) in the real world.

A big problem of using simulation is that the initial model needs to reflect the reality as closely as possible. Process mining is a great way to discover the key steps and process flows that need the be part of the simulation model. Furthermore, process mining helps to determine the probabilities of transitions and the distribution of the process times to populate the model. Based on this initial model, alternative process re-designs of the current process can be tested in the simulation tool. After finding the best scenario, Sudhendu could reduce the cycle time from 12 days to 5 days, increasing the throughput by over 30%.

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