Proposte di Tesi - Orizzonte Sistemi Navali

Dettagli

Relatore: Prof. Antonio Moschitta

Proposte di tesi da sviluppare in collaborazione con l'azienda Orizzonte Sistemi Navali (https://www.orizzontesn.it/):

  1. Behavioural Simulation of Complex Systems
    This thesis focuses on the modelling and simulation of behavioural aspects of complex systems to analyse how system components interact and evolve under different operational scenarios.
    The work investigates how behavioural models, developed within a Model‑Based Systems Engineering (MBSE) framework, can be used to simulate system dynamics, emergent behaviours, and interactions across multiple domains.

    The objective is to support early validation of system behaviour, risk identification, and performance assessment through scenario‑based simulation, contributing to improved design decisions and system understanding throughout the lifecycle.

  2. SysML v2 and AI for Text to Model Requirements Translation 
    This thesis investigates the use of Artificial Intelligence, including Large Language Models, to automatically translate natural language system requirements into SysML v2 model artifacts.

    The work focuses on Text to Model generation, demonstrating how AI tools can interpret textual requirements and produce valid SysML v2 syntax that can be directly imported into modelling environments.
    The objective is to enable faster model creation, reduce manual effort, and improve consistency and traceability within the system engineering workflow.

  3. Integrating Agile Methods with Model-Based Systems Engineering (MBSE)
    This thesis explores how agile development principles can be integrated with Model Based Systems Engineering (MBSE) to address the challenges of complex, multidisciplinary system development.
    The work investigates how continuous connectivity enabled by the digital thread can support seamless collaboration across domains and stakeholders, ensuring traceability and coherence among requirements, architecture, behaviour, and validation artifacts throughout the system lifecycle.
    By leveraging multidomain simulation and mission driven systems engineering, the proposed approach aims to enable iterative design, early validation, and effective interface management.
    The objective is to define an integrated agile MBSE methodology that mitigates technical risks and optimizes system performance across the entire product lifecycle.

  4. Model reuse

    1. A Framework for Model Reuse in Complex Systems Engineering
      Methodologies for Building Reusable System Model Libraries across Multiple Projects
      This thesis aims to define a methodology and a supporting framework for model reuse in complex systems, enabling the creation of system model libraries based on abstraction and generalization principles. The proposed approach will allow models to be effectively shared, adapted, and reused across different projects, reducing development effort and improving consistency and scalability.
    2. Learning Based System Model Libraries for Cross Project Reuse
      A Machine Learning Framework for Reusing Engineering Models in Complex Systems
      This thesis explores a machine learning based approach to reusing system models across different projects.
      The proposed methodology exploits existing engineering models as training data, allowing the system to learn reusable structures, interfaces, behaviours, and requirement patterns without relying on predefined generalization rules.
      The result should be an enabling system that supports automatic model reuse and adaptation, reducing manual effort, accelerating model creation, and improving consistency across complex system development programs.

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