Using event log knowledge to support business process simulation model construction

Abstract

My dissertation focuses on the use of event log knowledge, i.e. process mining, to support the development of business process simulation models. Despite the fact that the Process Mining Manifesto highlights this topic as a key research challenge, prior research efforts tend to have a proof-of-concept nature. To this end, this dissertation contributes towards fundamentally bridging the gap between these domains by (i) providing the required conceptualization and (ii) developing a set of methods that extract knowledge from event logs to support specific business process simulation modeling tasks.