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Journal Articles Computers & Industrial Engineering Year : 2020

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Abstract

The key role of information and communication technologies (ICT) to improve manufacturing productivity within the paradigm of factory of the future is often proved. These tools are used in a wide range of product lifecycle activities, from the early design phase to product recycling. Generally, the assistance tools are mainly dedicated to the management board and fewer initiatives focus on the operational needs of the worker at the shop-floor level. This paper proposes a context-aware knowledge-based system dedicated to support the actors of the factory by the right information at the right time and in the appropriate format regarding their context of work and level of expertise. Particularly, specific assistance functionalities are dedicated to the workers in charge of the machine configuration and the realization of manufacturing operations. PGD-based (Proper Generalized Decomposition) algorithms are used for real time simulation of industrial processes and machine configuration. At the conceptual level, a semantic model is proposedas key enablersfor the structuration of the knowledge-based system.
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hal-02277056 , version 1 (25-10-2019)

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Farouk Belkadi, Mohamed Anis Dhuieb, José Vicente Aguado, Florent Laroche, Alain Bernard, et al.. Intelligent assistant system as a context-aware decision-making support for the workers of the future. Computers & Industrial Engineering, 2020, 139, pp.105732. ⟨10.1016/j.cie.2019.02.046⟩. ⟨hal-02277056⟩
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