Titre :

An agent-based Decision Support System for resources' scheduling in Emergency Supply Chains

Auteur(s) :

Ben Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Zgaya, Hayfa [Auteur]
Institut Lillois d'Ingénierie de la Santé [ILIS]
Dotoli, Mariagrazia [Auteur]
Hammadi, Slim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la revue :

Control Engineering Practice

Pagination :

27-43

Éditeur :

Elsevier

Date de publication :

2017

ISSN :

0967-0661

Mot(s)-clé(s) en anglais :

Emergency Supply Chain
Decision Support System
Multi-agent system
Scheduling
Crisis management

Discipline(s) HAL :

Informatique [cs]/Système multi-agents [cs.MA]
Computer Science [cs]/Operations Research [math.OC]
Sciences du Vivant [q-bio]/Ingénierie biomédicale

Résumé en anglais : [en]

We propose a multi-agent-based architecture for the management of Emergency Supply Chains (ESCs), in which each zone is controlled by an agent. A Decision Support System (DSS) states and solves, in a distributed way, the ...
Lire la suite >We propose a multi-agent-based architecture for the management of Emergency Supply Chains (ESCs), in which each zone is controlled by an agent. A Decision Support System (DSS) states and solves, in a distributed way, the scheduling problem for the delivery of resources from the ESC supplying zones to the ESC crisis-affected areas. Thanks to the agents' cooperation, the DSS provides a scheduling plan that guarantees an effective response to emergencies. The approach is applied to two real cases: the Mali and the Japan crisis. Simulations are based on real data that have been validated by a team of logisticians from Airbus Defense and Space.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL