 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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
