OIL, short for Open Interaction Language, is a domain-specific language developed by Canon Production Printing B.V. It is a language that can be used for specifying, analyzing, and implementing models of system behavior. The tooling created for OIL can generate C++ code from OIL specifications. Part of this generated code is a scheduler that schedules so-called proactive events. The focus of this project is to improve this scheduler; the aim is to reduce the number of computations needed to do the scheduling. We investigate basic scheduling improvement strategies that do not need the collection of additional information. We also investigate scheduling strategies for which causal relations have to be gathered from the OIL specifications. These scheduling strategies could be used to skip the scheduling of events that are not needed. Another strategy that we investigate alters the OIL specifications themselves to make them easier to schedule. In this report, these strategies for improving the scheduler are discussed, verified, and achieved results are listed.