Proceedings of the

The 33rd European Safety and Reliability Conference (ESREL 2023)
3 – 8 September 2023, Southampton, UK

Contribution of a Risks Management Method for Depollution Projects Based on MBSE Approach

Mayssa Chebbi1,a, Vincent Chapurlat1,b, Jean-Samuel Wienin1,c, Laurent Aprin1,d and Philippe Girones2

1Risk Sciences Laboratory (LSR), IMT Mines Ales, France.

2CEA, DES/DDSD/UARP/CMT, Site de Marcoule bāt. 02, Room COM13, France.


This paper addresses the challenges in risk management of complex depollution systems, marked by intricate interactions and emergent behaviors. The objective is to develop a comprehensive approach to risk management, accounting for the system's complexity and interconnectedness throughout the depollution project lifecycle. By employing a Model-Based Systems Engineering (MBSE) method using metamodels and models, the representation and analysis of multidisplinary components and their interactions are streamlined. The depollution system is modeled with stakeholders integrated as agents using Domain Specific Modeling Language (DSML). MBSE enables the examination of internal interactions and the evaluation of feasibility. Ultimately, this work aims to enhance depollution management by helping stakeholders assess feasibility, cost, and delay of depollution processes by effectively addressing risk management.

Keywords: Risk management, Depollution system, Complex systems, System engineering, Model-based systems engineering.

Download PDF