Towards improving the future of manufacturing through digital twin and augmented reality technologies
Authors : Ahlem Assila (LINEACT), Souad Rabah (ESIEE-Amiens), Elio Khouri (Le2i), Florian Maier, Fakhreddine Ababsa (Le2i), Valéry Bourny (Laboratory of Innovative Technologies), Paul Maier, Frédéric Mérienne (Le2i)
Article : Articles dans des revues internationales ou nationales avec comité de lecture - 18/06/2018 - Procedia manufacturing - 28th International Conference on Flexible Automation and Intelligent Manufacturing
We are on the cusp of a technological revolution that will fundamentally change our relationships to others and the way we live and work. These changes, in their importance, scope, and complexity, is di erent than what humanity has known until now. We do not yet know what will happen, but one thing is certain: our response must be comprehensive and it must involve all stakeholders at the global level: the public sector, the private sector, the academic world and civil society. Applications for the industrial sector are already numerous: predictive maintenance, improved decision-making in real time, anticipation of stocks according to the progress of production, etc. So many improvements that optimize the production tools every day a little more, and point to possibilities for the future of Industry 4.0, the crossroads of an interconnected global world. This work comes to contribute as a part of this industrial evolution(Usine 4.0). In this paper we introduce a part of a collaboration between industry and research area in order to develop a DT and AR industrial solution as a part of a predictive maintenance framework. In this context, we elaborate a proof of-concept that was developed in special industrial application.