Development of a digital twin for collaborative decision-making, based on a multi-agent system: application to prescriptive maintenance
| Autor: | Quentin Lorente, Éric VILLENEUVE, Christophe Merlo, Guy Andre Boy, François Thermy |
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| Přispěvatelé: | ESTIA Recherche, Ecole Supérieure des Technologies Industrielles Avancées (ESTIA), CentraleSupélec, Safran Helicopter Engines, INCOSE |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | HSI 2021-Human Systems Integration HSI 2021-Human Systems Integration, INCOSE, Nov 2021, Virtual Event, United States HAL |
| Popis: | This research/project was undertaken with the assistance of resources and services from the FLEXTECH Chair.; International audience; The fourth industrial revolution involves more complexity. In the helicopter engine maintenance activity, which is the object of our study, decision-making can be a difficult task. Many different experts hold both partial knowledge and incomplete situation awareness due to the great diversity of everyday operational practices. In this paper, we propose a digital twin approach to collaborative decision-making based on a multi-agent system, applied to prescriptive maintenance. |
| Databáze: | OpenAIRE |
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