La revolución industrial 4.0
Contenido principal del artículo
- ingeniería
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
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