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A 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
Durango, A. C., Luciani, F., De Paula Ferreira, W., & Armellini, F. (2022, October). Design structure matrix and its applications in innovation management [Paper]. 24th International Dependency and Structure Modeling Conference (DSM 2022), Eindhoven, The Netherlands. 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., & Thomasset-Laperrière, V. (2022). A framework for identifying and analysing industry 4.0 scenarios. Journal of Manufacturing Systems, 65, 192-207. External link
De Paula Ferreira, W. (2021). A framework to Support Industry 4.0 Initiatives in Manufacturing Companies [Ph.D. thesis, Polytechnique Montréal]. Available
De Paula Ferreira, W., Palaniappan, A., Armellini, F., Santa-Eulalia, L. A., Moscono, E., & Marion, G. (2021). Linking industry 4.0, learning factories and simulation modeling : testbeds and proof-of-concepts experiments. In Artificial intelligence in industry 4.0 (Vol. 928, pp. 85-97). 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 Souza Dutra, M. D., Da Conceicao Junior, G., De Paula Ferreira, W., & Campos Chaves, M. R. (2020). A customized transition towards smart homes: A fast framework for economic analyses. Applied Energy, 262, Unsp 11454 (12 pages). External link
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). 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 Paula Ferreira, W., Armellini, F., Santa-Eulalia, L. A., & Rebolledo, C. (2019, August). Simulation-based approaches in industry 4.0 : a systematic literature review and meta-analysis [Paper]. Industry 4.0 and Artificial Intelligence Technologies (INAIT 2019), Cambridge, UK. Unavailable
Luciani, F., De Paula Ferreira, W., Armellini, F., & Santa-Eulalia, L. A. (2021, November). An outlook on the contribution of agent-based modeling and simulation for innovation ecosystems [Paper]. 2021 ISPM Connects Valencia, Valencia, Spain. Unavailable
Marques, R., De Paula Ferreira, W., Nassif, G., Armellini, F., Dungen, J., & De Santa-Eulalia, L. A. (2021, June). Exploring the application of IoT in the service station business [Paper]. 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), Budapest, Hongrie. Published in IFAC-Papers Online, 54(1). External link