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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. External link
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. External link
De Paula Ferreira, W., Armellini, F., de Santa-Eulalia, L. A., & Rebolledo, C. (2021). Modelling and Simulation in Industry 4.0. In 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, pp. 57-72). External link
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. External link
De Paula Ferreira, W., Palaniappan, A., Armellini, F., de Santa-Eulalia, L. A., Mosconi, E., & Marion, G. (2019, October). Linking industry 4.0, learning factory, and simulation modeling : testbeds and proof-of-concept experiments [Paper]. 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). External link
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. In Onkai, D. (ed.), Supply Chain Management - Pathways for Research and Practice (pp. 171-200). Available
de Santa-Eulalia, L. A., D'Amours, S., & Frayret, J.-M. (2010, October). Modeling agent-based simulations for supply chain planning: The FAMASS methodological framework [Paper]. IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), Istanbul, Turkey. External link
