A framework for identifying and analysing industry 4.0 scenarios

de Paula Ferreira, William, Armellini, Fabiano, de Santa-Eulalia, Luis Antonio et Thomasset-Laperrière, Vincent. 2022. « A framework for identifying and analysing industry 4.0 scenarios ». Journal of Manufacturing Systems, vol. 65. pp. 192-207.
Compte des citations dans Scopus : 13.

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Résumé

Industry 4.0 is a central strategy to strengthen the competitiveness of the manufacturing sector over the next years. Nevertheless, there is a lack of common understanding of Industry 4.0 and tools to help companies’ transformation to Industry 4.0, especially for small and medium-sized enterprises (SMEs). To address these research gaps, this study proposes a framework to characterise and evaluate Industry 4.0 scenarios to aid companies’ transition towards Industry 4.0. For this, a design science (multi-methodological) approach is adopted, including an Industry 4.0 use case survey, modelling and simulation and two proof-of-concept cases developed in collaboration with a Canadian college centre for technology transfer. The results indicate that the proposed framework can help companies identify Industry 4.0 scenarios more intuitively to assist project conception, portfolio selection and planning during Industry 4.0 roadmap development. Finally, the results of this study suggest that Industry 4.0 can be implemented incrementally while companies increase their digital capabilities and maturity

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur de Paula Ferreira, William
Affiliation:	Génie des systèmes
Date de dépôt:	05 oct. 2022 16:43
Dernière modification:	24 févr. 2024 05:00
URI:	https://espace2.etsmtl.ca/id/eprint/25569

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