Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective.

Autor: Ahmed T; Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh., Karmaker CL; Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh., Nasir SB; Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh., Moktadir MA; Institute of Leather Engineering and Technology, University of Dhaka, Dhaka 1209, Bangladesh., Paul SK; UTS Business School, University of Technology Sydney, Sydney, Australia.
Jazyk: angličtina
Zdroj: Computers & industrial engineering [Comput Ind Eng] 2023 Mar; Vol. 177, pp. 109055. Date of Electronic Publication: 2023 Jan 31.
DOI: 10.1016/j.cie.2023.109055
Abstrakt: The recent COVID-19 pandemic has significantly affected emerging economies' global supply chains (SCs) by disrupting their manufacturing activities. To ensure business survivability during the current and post-COVID-19 era, it is crucial to adopt artificial intelligence (AI) technologies to renovate traditional manufacturing activities. The fifth industrial revolution, Industry 5.0 (I5.0), and artificial intelligence (AI) offer the overwhelming potential to build an inclusive digital future by ensuring supply chain (SC) resiliency and sustainability. Accordingly, this research aims to identify, assess, and prioritize the AI-based imperatives of I5.0 to improve SC resiliency. An integrated and intelligent approach consisting of Pareto analysis, the Bayesian approach, and the Best-Worst Method (BWM) was developed to fulfill the objectives. Based on the literature review and expert opinions, nine AI-based imperatives were identified and analyzed using Bayesian-BWM to evaluate their potential applicability. The findings reveal that real-time tracking of SC activities using the Internet of Things (IoT) is the most crucial AI-based imperative to improving a manufacturing SC's survivability. The research insights can assist industry leaders, practitioners, and relevant stakeholders in dealing with the impacts of large-scale SC disruptions in the post-COVID-19 era.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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