LORENTE, Quentin; VILLENEUVE, Eric; MERLO, Christophe; BOY, Guy Andre; THERMY, Francois

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LORENTE, Quentin
ESTIA - Institute of technology [ESTIA]
Safran Helicopter Engines

VILLENEUVE, Eric

ESTIA - Institute of technology [ESTIA]

MERLO, Christophe

ESTIA - Institute of technology [ESTIA]

Langue

Communication dans un congrès

Ce document a été publié dans

15th International Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA2025), 2025-10-02, Aix-En-Provence. 2025-10-03

Résumé en anglais

This paper presents SOMA, a multi-agent digital twin designed to support collaborative decision-making in helicopter engine maintenance. The system addresses challenges related to information loss and coordination among experts by integrating multi-agent modeling and stigmergic mechanisms. SOMA enables structured interactions between human and artificial agents, improving situational awareness and organizational learning. A prototype was developed and tested with maintenance professionals from Safran Helicopter Engine company. Results show that the system is relevant and that stigmergic indicators, i.e., visual signals based on past experiences, can influence decision-making. These findings suggest that SOMA can enhance maintenance processes by supporting effective collaboration and decision support.< Réduire

Mots clés en anglais

Maintenance

Collaborative decision-making

Digital twin

Stigmergy

Multi-agent system

URI

https://oskar-bordeaux.fr/handle/20.500.12278/207953

Unités de recherche

ESTIA - Recherche