Modelling and simulating a crisis management system: an organisational perspective

Informations générales

Année de publication

2017

Type

Journal

Description

Enterprise Information Systems, Volume 11

Résumé

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

BibTeX
@article{DBLP:journals/eis/ChaawaTHS17,
  author       = {Mohamed Chaawa and
                  In{\`{e}}s Thabet and
                  Chihab Hanachi and
                  Lamjed Ben Said},
  title        = {Modelling and simulating a crisis management system: an organisational
                  perspective},
  journal      = {Enterp. Inf. Syst.},
  volume       = {11},
  number       = {4},
  pages        = {534--550},
  year         = {2017},
  url          = {https://doi.org/10.1080/17517575.2016.1212275},
  doi          = {10.1080/17517575.2016.1212275},
  timestamp    = {Wed, 22 Jul 2020 21:58:48 +0200},
  biburl       = {https://dblp.org/rec/journals/eis/ChaawaTHS17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Auteurs