Resilience of Interconnected Infrastructures and Systems – RESIIST

RESIIST uses several scientific approaches for continuous resilience assessment. These are derived from the consortium's field expertise, scientific and technical literature in the fields of crisis management, systems engineering, resilience, risk management, and multi-criteria decision support. They are declined according to three levels of abstraction: (1) Data collection (2) Transformation of data into Information (3) Transformation of Information into Knowledge (4) Visualization and Decision. All these activities are supported by software modules.

-Elaboration of an approach for the design of indicators by identifying the objectives and the stakeholders concerned;
-Carrying out an analysis of the data that can contribute to the evaluation of resilience on an ongoing basis, whether they come from the description of critical infrastructures or the territory ;
-Development and validation of a meta-model;
-Specification of mechanisms and tools for Transformation of eCore models to the Digital Twin as well as the transformation to GAML;
-Proposal of model federation operators to build a Digital Model of a Critical Infrastructure and move towards a Digital Twin;
-Proposal of a resilience evaluation method, with establishment of an eco-system of non-functional properties (NFP);
-Taking into account the resilience life cycle to establish NFP networks. Began modeling a Hello World demonstrator on GenMyModel and GAMA ;
-Conducting interviews with operational staff;
Development of use cases: this involves documenting the «Nantes peripheral« case and building a knowledge base to inform the meta-model;
-Proposal of operational scenarios: The threat scenario «submergence of the roadway« was described through a detailed presentation;
-Formalization of the data necessary for the operational scenarios;
-Development of several software modules: Standardized and adaptable modeling system, data collection, data integration, data reception and recording, data visualization, continuous resilience assessment.

- Focus on the decision making mechanisms;
- Propose simulation and behavior models;
- Make the link with immersive 3D;
- Identify the types of indicators according to the management phase.

1. Assessing urban transport network resilience: a review on current approaches, ICoTSC 2020
2. Deploying MBSE in SME context: revisiting and equipping Digital Mock-Up, ISSE 2020
3. Decision-making in the field of resilience: literature review – ICDSST 2020
4. Continuous assessment of the resilience of critical infrastructure: the Nantes ring road flood experimental scenario -FLOODrisk 2021
5. Practice indicators for urban infrastructure resilience to flood risk in France, case study of Nantes road transport network, FLOODrisk 2021
6. Resilience of Interconnected Infrastructures and Systems: the RESIIST project. ICAT 2019
7. A Decision Support System for resilience based on functionality analysis of interconnected systems-ICDSST2019
8. Evaluation continue de la résilience des infrastructures critiques, Application au périphérique nantais, ATEC ITS 2021
9. An innovative approach for project launch decision-making in risk and multi-criteria situations – ICDSST 2020

The RESIIST project proposes a methodology and tools for (a) data collection, (b) modelling, (c) decision support (d) simulation and visualization (e) help with the implementation of decisions to evaluate in time the resilience of critical infrastructures in order to define the possible strategies and to carry out analyses on original criteria.
In order to supply goods and services to populations, various socio-technical changes allow us to draw the following conclusions:
Statement 1: stakeholders’ needs evolve and tend to make these infrastructures more complex to manage and understand. They are pushed into their operating limits and suddenly become critical.
Statement 2: Whatever is the type of these infrastructures (production system or territory), they are increasingly connected and interconnected which further contributes to their complexity.
Statement 3: Various and numerous disruptive events can affect the proper functioning of these infrastructures are. Instability of such infrastructures becomes then the norm. This instability is exacerbated by influences and interactions between infrastructures and the territories on which they operate.
Statement 4: The loss rate related to the occurrence of disturbances then impacts several dimensions (human, economic, ecological, technical ...)
These statements highlight the role, relevance and importance of the resilience of these critical infrastructures for companies, communities and managers involved and concerned with managing the consequences of disturbances. This clearly demonstrates the need for a continuous resilience assessment approach. This is indeed requested to feed decision-making tools enabling these stakeholders to effectively manage their infrastructures and to limit the consequences of disturbances with regard to the different dimensions mentioned above.
The RESIIST project makes the assumption that a certain number of heterogeneous data are relevant, available and then must be exploitable. It proposes in response to the previous observations:
•A critical infrastructure modelling and resilience assessment approach based on six activities: (i) continuous collection of data issued from various sources, (ii) processing and analysis of these data to derive relevant information on multiple dimensions (human, social, financial, technical), (iii) development of a model of critical infrastructure that is as faithful as possible, under the form of a Digital Twin of the critical infrastructure, making it possible to structure, organize and facilitate access to data, information and knowledge, (iv) evaluation of resilience, (v) behavioural simulation of the model and visualization of results, (vi) decision-making and assistance to implementation of decisions;
•The definition and use of resilience indicators for multi criteria decision support;
•The development of tools supporting the modeling, evaluation and simulation process;
•Smart visualization according to the need expressed by the stakeholders.
RESIIST proposes then to manage, share and use heterogeneous and numerous data and models to assess the resilience of a critical infrastructure considering diverse analysis dimensions. As a result, resilience will be more fully estimated, and decision makers will be supported by using RESIIST deliverables to make the most relevant decisions based on multiple perspectives and criteria.
On the scientific level, RESIIST is based on the problems concerning research, definition, formalization and validation of:
•New indicators based on the available data and corresponding to Economic, Technical, Environmental, Regulatory, Social, or Human dimensions;
•Procedures for interpreting and exploiting these indicators;
•Potential occurrences of disturbances (causes and effects) modelling and analysis
•Models of representation of critical infrastructures integrating these indicators to assess resilience;
•Decision-making process support and follow-up of the implementation of the decisions.