Knowledge and understanding:
at the end of the course, students will have acquired the basic knowledge about the structure and functioning of a simulator, in terms of: analysis of the context to by reproduced; statistical analysis of the process data; tools available to develop a simulation model for the process analyzed; analysis of the data obtained by the simulation; optimization of operating leverages, to improve the performance of the process.
Applying knowledge and understanding:
students will be able to develop a process simulator, both in the logistic and production context, starting from the scenario to be analysed, by choosing the tool that better reproduces the process studied, identifying performance indices and operation leverages on which to act through "what if" analyses, to optimize the process or propose alternative process configurations.
supported by the results of the simulation campaigns, students will be able to evaluate the impact of design decisions and operational leverages on the performance of complex productive and logistic systems.
students should acquire the specific vocabulary related to simulation. It is expected that, at the end of the course, students will be able to communicate the main contents of the course both orally, in writing and through the implementation of ad hoc simulators, either supported by “general purpose” softwares or dedicated tools.
Students who have attended the course will be able to deepen their knowledge in the field of process simulation, by consulting specialized texts, or journal papers, or other sources, as well as new software packages (both "general purpose" or dedicated), also outside the topics covered in class.