Documents dont l'auteur est "de Santa-Eulalia, Luis Antonio"

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Nombre de documents: 11

2023

de Assis, R. F., de Santa-Eulalia, L. A., Armellini, F., Anholon, R., Rampasso, I. S., Müller Guerrini, F., Godinho Filho, M., & De Paula Ferreira, W. (2023). A system dynamics approach to unlock the complexity of the S&OP in virtual enterprises. Enterprise Information Systems, 17(12), 31 pages. Lien externe

2022

De Paula Ferreira, W., Armellini, F., De Santa-Eulalia, L. A., & Thomasset-Laperrière, V. (2022). A framework for identifying and analysing industry 4.0 scenarios. Journal of Manufacturing Systems, 65, 192-207. Lien externe

De Paula Ferreira, W., Armellini, F., de Santa-Eulalia, L. A., & Thomasset-Laperrière, V. (2022). Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach. Journal of Manufacturing Systems, 63, 1-14. Lien externe

2021

de Assis, R. F., de Santa-Eulalia, L. A., De Paula Ferreira, W., Armellini, F., Anholon, R., Rampasso, I. S., & Santos, J. G. C. L. (2021). Translating value stream maps into system dynamics models: a practical framework. International Journal of Advanced Manufacturing Technology, 114(11-12), 3537-3550. Lien externe

De Paula Ferreira, W., Armellini, F., de Santa-Eulalia, L. A., & Rebolledo, C. (2021). Modelling and Simulation in Industry 4.0. Dans Artificial Intelligence in Industry 4.0: A Collection of Innovative Research Case-studies that are Reworking the Way We Look at Industry 4.0 Thanks to Artificial Intelligence (Vol. 928, p. 57-72). Lien externe

Marques, R., De Paula Ferreira, W., Nassif, G., Armellini, F., Dungen, J., & De Santa-Eulalia, L. A. (juin 2021). Exploring the application of IoT in the service station business [Communication écrite]. 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), Budapest, Hongrie. Publié dans IFAC-Papers Online, 54(1). Lien externe

2020

De Paula Ferreira, W., Armellini, F., & De Santa-Eulalia, L. A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers and Industrial Engineering, 149, 106868 (17 pages). Lien externe

2019

De Paula Ferreira, W., Palaniappan, A., Armellini, F., de Santa-Eulalia, L. A., Mosconi, E., & Marion, G. (octobre 2019). Linking industry 4.0, learning factory, and simulation modeling : testbeds and proof-of-concept experiments [Communication écrite]. 3rd International Symposium on Supply Chain 4.0 : Challenges and Opportunities of Digital Transformation, Intelligent Manufacturing and Supply Chain Managament (ISSC4), Indianapolis, USA (9 pages). Lien externe

2011

de Santa-Eulalia, L. A., D'Amours, S., Frayret, J.-M., Menegusso, C. C., & Cambiaghi Azevedo, R. (2011). Advanced supply chain planning systems (APS) today and tomorrow. Dans Onkai, D. (édit.), Supply Chain Management - Pathways for Research and Practice (p. 171-200). Disponible

2010

de Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. (octobre 2010). Modeling agent-based simulations for supply chain planning: The FAMASS methodological framework [Communication écrite]. IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), Istanbul, Turkey. Lien externe

2008

De Santa-Eulalia, L. A., Frayret, J.-M., & D'Amours, S. (2008). Essay on conceptual modeling, analysis and illustration of agent-based simulations for distributed supply chain planning. INFOR, 46(2), 97-116. Lien externe

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