La revolución industrial 4.0
Main Article Content
Treviño-Elizondo, Bertha Leticia, and Heriberto García-Reyes. “What does Industry 4.0 mean to Industrial Engineering Education?.” Procedia Computer Science 217 (2023): 876-885. DOI: https://doi.org/10.1016/j.procs.2022.12.284
Rahman, Md Sazzadur, et al. “Machine Learning and internet of things in industry 4.0: A review.” Measurement: Sensors (2023): 100822. DOI: https://doi.org/10.1016/j.measen.2023.100822
Lin, Shichao, Jingchen Dai, and Ruimin Li. “Network-level signal predictive control with real-time routing information.” Transportation research part C: emerging technologies 147 (2023): 104007. DOI: https://doi.org/10.1016/j.trc.2022.104007
Javaid, Mohd, et al. “Substantial capabilities of robotics in enhancing industry 4.0 implementation.” Cognitive Robotics 1 (2021): 58-75. DOI: https://doi.org/10.1016/j.cogr.2021.06.001
Singh, Harpreet. “Big data, industry 4.0 and cyber-physical systems integration: A smart industry context.” Materials Today: Proceedings 46 (2021): 157-162. DOI: https://doi.org/10.1016/j.matpr.2020.07.170
Tamir, Tariku Sinshaw, et al. “3D printing in materials manufacturing industry: A realm of Industry 4.0.” Heliyon (2023). DOI: https://doi.org/10.1016/j.heliyon.2023.e19689
Alenizi, Farhan A., et al. “The Artificial Intelligence Technologies in Industry 4.0: A Taxonomy, Approaches, and Future Directions.” Computers & Industrial Engineering (2023): 109662. DOI: https://doi.org/10.1016/j.cie.2023.109662
Ozkose, Hakan, and Gul Guney. “The effects of industry 4.0 on productivity: A scientific mapping study.” Technology in Society (2023): 102368. DOI: https://doi.org/10.1016/j.techsoc.2023.102368
Ruff, Maxim, and Manuel Woschank. “Industry 4.0 as an Enabler of Servitization in the Plant Engineering Business: Literature Review and Development of a Conceptual Research Model.” Procedia computer science 200 (2022): 833-842. DOI: https://doi.org/10.1016/j.procs.2022.01.280
Lambán, María Pilar, et al. “Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system.” Computers & Industrial Engineering 171 (2022): 108400. DOI: https://doi.org/10.1016/j.cie.2022.108400
Huang, Kerry, et al. “The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view.” International Journal of Production Economics 262 (2023): 108913. DOI: https://doi.org/10.1016/j.ijpe.2023.108913
Helo, Petri, and Javad Rouzafzoon. “An Agent-Based Simulation and Logistics Optimization Model for Managing Uncertain Demand in Forest Supply Chains.” Supply Chain Analytics (2023): 100042. DOI: https://doi.org/10.1016/j.sca.2023.100042
Qian, Yutian, Sreeram Vaddiraju, and Faisal Khan. “Safety education 4.0–A critical review and a response to the process industry 4.0 need in chemical engineering curriculum.” Safety science 161 (2023): 106069. DOI: https://doi.org/10.1016/j.ssci.2023.106069
Downloads

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors grant the journal and Universidad del Valle the economic rights over accepted manuscripts, but may make any reuse they deem appropriate for professional, educational, academic or scientific reasons, in accordance with the terms of the license granted by the journal to all its articles.
Articles will be published under the Creative Commons 4.0 BY-NC-SA licence (Attribution-NonCommercial-ShareAlike).
https://orcid.org/0000-0003-0640-0104
https://orcid.org/0000-0001-8205-5651