Simulation-Based Evaluation of Model Sensitivities in Finished Vehicle Logistics

The on-time delivery of vehicles and the load factor of factory outbound trucks are influenced by multiple input variables in a production plant of the automotive industry. Since the parameters that are tied to the input variables are statistically distributed, a discrete-event simulation study is conducted. After developing an effect model starting with the assembly, we transfer the model into a simulation environment and run a series of experiments to examine the sensitivity between the input variables and the target values. We vary the most significant input variables order sequence quality, rework, loading restrictions and shipping series. With this approach we are able to derive measures to significantly increase the load factor of trucks, with the overall goal to reduce freight costs and emissions.