Adaptive modelling and simulation of product development processes

A tool for modelling and simulation of product development processes has to be able to map the specific stochastic behaviour of these processes. Taking this into consideration, the paper presents an approach to adaptive modelling and simulation using Petri nets. New to this approach is that the process model is generated dynamically at simulation run time. Based on the effective premises and boundary conditions, generic processes are selected, parameterised, and integrated as an instance into the model. Thereby, the model is adapted to its present state at simulation run time. This enhances the quality of the simulation results.