Abstract
Pandemics such us COVID-19 are significant outbreaks of infectious diseases, which can spread higher healthy threats, and seriously rise morbidity and mortality over wide populations and cause important economic, social, and political troubles. COVID-19 has triggered high risks among human beings. For that, the infected humans working in manufacturing and logistics systems can lead to complex issues beyond the industrial networks. Smart logistics (SL) systems remain a promising area to form a safe working environment. SL promotes the use of automated assets based on networked sensors which are controlled by suitable intelligent decision-making algorithms. Using SL technologies smooths the release of the whole production process disruption, due to COVID-19, by interconnecting the good and service flows to decrease the severity of the actual industrial chain disruption. Our study presents a novel smart logistics framework to strengthen the production process recovery and build an evaluation model to assess the impacts of SL technologies. We form an optimization model, which allows the planning of SL resources allocation according to the market demands and regarding the severity of the Covid-19 pandemic.
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Issaoui, Y., Khiat, A., Bahnasse, A., Ouajji, H. (2023). Smart Logistics Systems During COVID-19 Pandemic: Context and Impact Evaluation in Morocco. In: Hassanien, A.E., Snášel, V., Tang, M., Sung, TW., Chang, KC. (eds) Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022. AISI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-20601-6_60
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DOI: https://doi.org/10.1007/978-3-031-20601-6_60
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