During its life, the jet engine's components can deteriorate and this can reduce the performances. It is very difficult to predict with analytic models how many flight hours time a component can bear, that's why it's very common to use safety factors in order to guarantee airworthiness.  As a result, there will be increased costs due to premature maintenance, increased downtime, and potential failure. The aim of Rolls-Royce is to create a digital service twin model capable of predicting the engine condition at the part level at any time during its life cycle. To support this work, this thesis aims to conduct a sensitivity study of a turbo engine lifecycle model and quantify the impact of model uncertainties on engine simulated performance as well as on component deterioration modes.