Model-based performance engineering of General Motors’ vehicle supply chain

We present results of a collaboration project, during which parts of General Motors’ north American vehicle supply chain have been modeled and evaluated. A variant of colored stochastic Petri nets has been developed for this task, and support for model creation and performance evaluation was implemented in our tool TimeNET. Variations of the model and their stepwise evaluation lead to suggestions about how the supply chain can be reorganized in order to improve the time between customer order and vehicle delivery (order-to-delivery time).