A General-Purpose Proxel Simulator for an Industrial Software Tool

At DaimlerChrysler, the reliability and safety of automobiles are analysed using simulation. While discrete-event simulation can be used for these models, this approach may not deliver accurate results in acceptable time. Markov chain modelling for a statespace-based analysis is too complex for the user. Proxel-based simulation has shown to combine the best of both worlds and even to be more efficient for small models. In this paper we present a general-purpose proxel-based simulator that has been implemented into an analysis tool of DaimlerChrysler. Furthermore, a caching strategy is presented which reduces the computational effort of proxel-based simulation.