Authors: Agostino Bruzzone, Marina Massei, Enrico Bocca
The aim of this research is to support service and maintenance of pools of System-of-Systems, such as power plants or vessel/aircraft fleets by using simulations model dynamically integrated with smart optimizer driven by Artificial Intelligence techniques. The proposed methodology permit to create a framework to evaluate, optimize and test the service and maintenance policies (involving both inventory and scheduling); this framework is based on a simulator combined with an intelligent optimizer The authors proposed a new metrics to evaluate the real performance of pool service management of the whole complex system and support the optimization processes.