Development of a digital twin for collaborative decision‐making, based on a multi‐agent system: application to prescriptive maintenance. (3rd February 2022)

• Record Type: Journal Article
• Authors: Lorente, Quentin; Villeneuve, Eric; Merlo, Christophe; Boy, Guy André; Thermy, François
• Is Part Of: INCOSE International Symposium. Volume 32(2022)Supplement 1
• Page Start: 109
• Page End: 117
• Publication Date: 2022-02-03
• Subjects: Digital twin -- decision‐support system -- maintenance -- multi‐agent system; Systems engineering -- Congresses; Systems engineering -- Periodicals; 620.0011
• DOI: 10.1002/iis2.12875
• Languages: English
• ISSNs: 2334-5837

Abstract

Abstract: The fourth industrial revolution involves more complexity. This research effort focuses on decision‐making in helicopter engine maintenance activities. Such a decision‐making task is difficult and relies on a variety of experts who only have partial knowledge and incomplete situation awareness, due to the great diversity of everyday operational practices. In this paper, we propose a digital twin multi‐agent approach to collaborative decision‐making in prescriptive maintenance.