Contribution of a Risks Management method for depollution projects based on MBSE approach

Mayssa Chebbi (), Vincent Chapurlat (), Jean-Samuel Wienin (), Laurent Aprin () and Philippe Girones ()
Additional contact information
Mayssa Chebbi: LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris]
Vincent Chapurlat: LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris]
Jean-Samuel Wienin: LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris]
Laurent Aprin: LSR - Laboratoire des Sciences des Risques - IMT - MINES ALES - IMT - MINES ALES - IMT - Institut Mines-Télécom [Paris]
Philippe Girones: CEA-DES (ex-DEN) - CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives

Post-Print from HAL

Abstract: 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 (search for similar items in EconPapers)
Date: 2023-09-03
New Economics Papers: this item is included in nep-ppm
Note: View the original document on HAL open archive server: https://imt-mines-ales.hal.science/hal-04235719v1
References: Add references at CitEc
Citations:

Published in ESREL 2023 - the 33rd European Safety and Reliability Conference, Sep 2023, Southhampton, United Kingdom. ⟨10.3850/978-981-18-8071-1_P353-cd⟩

Downloads: (external link)
https://imt-mines-ales.hal.science/hal-04235719v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04235719

DOI: 10.3850/978-981-18-8071-1_P353-cd

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().