SIMEONI , S

In logistics and industrial production managers must deal with the impact of stochastic events to improve performances and reduce costs. In fact, production and logistics systems are generally designed considering some parameters as deterministically distributed. While this assumption is mostly used for preliminary prototyping, it is sometimes...

This paper proposes the challenges introduced by the development of a simulation based DSS (Decision Support System) for maintenance of complex systems such as helicopters, trains, power plants. The paper proposes the simulation architecture devoted to face this level of complexity and the critical issue analysis related to its development.

This paper is focused on the development of a model for applying Reliability Centred Maintenance (RCM) on complex system by integrating simulation and artificial intelligence (AI); the application is related to maintenance planning of groups of gas turbine power plants. This paper will explain the reasons, the criticalities and the lessons...

The authors propose an approach for developing complex models integrating different components and including human behaviour; in these problems the data uncertainty as well as their availability is a major criticality; the paper proposes an approach for a mutual validation of the model and a fine tuning process based on integrating simulation...