Said Saloua, Bouloiz Hafida, Gallab Maryam
Systems engineering and decision support laboratory, Ibn Zohr University, ENSA Agadir, Morocco.
MIS-LISTD Laboratory, Computer Science Department, Mines-Rabat School (ENSMR), Rabat, Morocco.
IFAC Pap OnLine. 2022;55(10):3226-3231. doi: 10.1016/j.ifacol.2022.10.144. Epub 2022 Oct 26.
In the totally unprecedented context of the COVID-19 health crisis, the widespread adoption of Industry 4.0 technologies, and the great interest in resilience, have been stronger than ever. Within this framework, the present paper outlines the involvement of technologies emerging from the fourth industrial revolution in the fight against the epidemic expansion, and the results of this implication in terms of strengthening and achieving resilience in diverse fields. In order to gain a fuller understanding of these points, fourteen resilience domains related to the COVID-19 pandemic are defined. On the other hand, the third section of this paper digs into the literature to expose a variety of Industry 4.0 solutions developed to cope with the sanitary crisis. Afterwards, a fuzzy cognitive map is elaborated, using mental modeler, in order to emphasize the causal links between Industry 4.0 technologies and resilience domains. Subsequently, a simulation of this model is performed to evaluate the contribution of an optimized joint use of Industry 4.0 core technologies in the achievement of resilience in its different dimensions during the COVID-19 pandemic, and to discuss how the identified gaps or weaknesses can be addressed.
在新冠疫情这一完全史无前例的健康危机背景下,工业4.0技术的广泛采用以及对恢复力的浓厚兴趣比以往任何时候都更为强烈。在此框架内,本文概述了第四次工业革命所产生的技术在抗击疫情蔓延中的参与情况,以及这种参与在加强和实现各领域恢复力方面的成果。为了更全面地理解这些要点,定义了与新冠疫情相关的14个恢复力领域。另一方面,本文第三节深入研究文献,以揭示为应对卫生危机而开发的各种工业4.0解决方案。之后,使用心智建模工具构建了一个模糊认知图,以强调工业4.0技术与恢复力领域之间的因果联系。随后,对该模型进行模拟,以评估在新冠疫情期间优化联合使用工业4.0核心技术在实现不同维度恢复力方面的贡献,并讨论如何弥补已发现的差距或弱点。