Optimization Using the Process Wind Tunnel

01:15:42Recorded on 17 June 2020

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

Simulation has the charm that you can test out alternative what-if scenarios to find out which improvement would have the biggest effect before actually making the change in the real-world process.

In many situations, what-if analyses can be carried out with process mining without a dedicated simulation tool. For example, you can filter your data set to those cases that already follow the desired process scenario. Then, you can use the measurements for this subset to estimate the overall process performance if all cases were to follow this new flow. However, for more advanced re-designs of the process, you need a specialized simulation tool. Combining process mining with simulation holds great potential because the process mining tool can help you to get the right input parameters for your simulation model.

This is exactly what Sudhendu Rai, Head of Data-Driven Process Optimization in AIG's Investments organization, did. In his talk at Process Mining Camp 2019, he showed how they tested new scheduling policies for incoming policy requests. At Process Mining Camp 2020, Sudhendu was back with a follow-up talk on their “Process Wind Tunnel” framework and another process mining case.

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