Multi-agent system for the reactive fleet maintenance support planning of a fleet of mobile cyber–physical systems

Autor: Tarik Chargui, Thierry Dailly, Damien Trentesaux, John William Mbuli, Abdelghani Bekrar
Přispěvatelé: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Bombardier
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0209 industrial biotechnology
Decision support system
lcsh:Computer engineering. Computer hardware
Operations research
decision support system
Computer Networks and Communications
Computer science
software agents
0211 other engineering and technologies
traffic engineering computing
bombardier transportation france
Context (language use)
lcsh:TK7885-7895
02 engineering and technology
Maintenance engineering
lcsh:QA75.5-76.95
System model
[SPI.AUTO]Engineering Sciences [physics]/Automatic
mainfleet
020901 industrial engineering & automation
Artificial Intelligence
multi-agent systems
Electrical and Electronic Engineering
021103 operations research
maintenance planning decisions
rail traffic
Multi-agent system
fleet maintenance planning
Cyber-physical system
reactive multiagent system model
reactive fleet maintenance support planning
Computer Science Applications
mobile cyber–physical systems
Unexpected events
Software agent
lcsh:Electronic computers. Computer science
maintenance engineering
decision support systems
fleet level
anemona multiagent design methodology
Information Systems
Zdroj: IET Cyber-Physical Systems (2020)
IET Cyber-Physical Systems: Theory & Applications
IET Cyber-Physical Systems: Theory & Applications, 2020, 5 (4), pp.376-387. ⟨10.1049/iet-cps.2019.0063⟩
ISSN: 2398-3396
DOI: 10.1049/iet-cps.2019.0063
Popis: Improving the availability and reliability of a fleet of mobile cyber–physical systems as well as the ability to adapt themaintenance planning decisions when facing unexpected events at the fleet level is a major stake faced by the manufacturersand the operators. In the context of this study, the authors propose a reactive multi-agent system model for the fleetmaintenance planning of mobile cyber–physical systems. For that purpose, the ANEMONA multi-agent design methodology isused. In this methodology, the agents are modelled and then their organisational and interaction views are described. Numericalexperiments are carried out in static and dynamic contexts. In a static context, the proposed multi-agent system is comparedwith a mathematical programming model to validate the effectiveness of the former in satisfying the fleet's availability andreliability expectations. In a dynamic context, simulated perturbations are used to illustrate the reactivity of the proposed multi-agent system. Lastly, an application to rail transport for the maintenance of a fleet of trains at Bombardier Transportation Franceis proposed. For that purpose, the proposed multi-agent system is integrated in the model layer of a decision support systemnamed ‘MainFleet’ which is currently under development
Databáze: OpenAIRE
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