Development of a digital twin for collaborative decision-making, based on a multi-agent system: application to prescriptive maintenance
Résumé
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.
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