Modelling and simulating a crisis management system: an organisational perspective. Issue 4 (21st April 2017)

• Record Type: Journal Article
• Authors: Chaawa, Mohamed; Thabet, Inès; Hanachi, Chihab; Ben Said, Lamjed
• Is Part Of: Enterprise information systems. Volume 11:Issue 4(2017)
• Page Start: 534
• Page End: 550
• Publication Date: 2017-04-21
• Subjects: Crisis management -- multi-agent system -- organisation -- simulation; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2016.1212275
• Languages: English
• ISSNs: 1751-7575

Abstract

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.