Chaawa, Mohamed, Hanachi, Chihab, Thabet, Inès and Ben Said, Lamjed (2017) Modelling and simulating a crisis management system: an organisational perspective. Enterprise Information Systems, vol. 11 (n° 4). pp. 534-550.
Full text not available from this repository.Abstract
Crises are complex situations due to the dynamism of the environment, its unpredictability and the complexity of the interactions among several different and autonomous involved organisations. In such a context, establishing an organisational view as well as structuring organisations’ communications and their functioning is a crucial requirement. In this article, we propose a multi-agent organisational model (OM) to abstract, simulate and analyse a crisis management system (CMS). The objective is to evaluate the CMS from an organisational view, to assess its strength as well as its weakness and to provide deciders with some recommendations for a more flexible and reactive CMS. The proposed OM is illustrated through a real case study: a snowstorm in a Tunisian region. More precisely, we made the following contribution: firstly, we provide an environmental model that identifies the concepts involved in the crisis. Then, we define a role model that copes with the involved actors. In addition, we specify the organisational structure and the interaction model that rule communications and structure actors’ functioning. Those models, built following the GAIA methodology, abstract the CMS from an organisational perspective. Finally, we implemented a customisable multi-agent simulator based on the Janus platform to analyse, through several performed simulations, the organisational model.
Item Type: | Article |
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Sub-title: | an organisational perspective |
Language: | English |
Date: | 25 July 2017 |
Refereed: | Yes |
Uncontrolled Keywords: | Crisis management, multi-agent system, organisation, simulation |
Subjects: | H- INFORMATIQUE |
Divisions: | Institut de Recherche en Informatique de Toulouse |
Site: | UT1 |
Date Deposited: | 10 Dec 2018 13:52 |
Last Modified: | 02 Apr 2021 15:58 |
OAI Identifier: | BibTeX_Ch2017.5 |
URI: | https://publications.ut-capitole.fr/id/eprint/27286 |