… to explore the role of artificial intelligence (AI) in building the resilience of production function
at … Finally, the machine learning based BN method is adopted to predict and understand the …

… Modern agriculture and food production systems are facing … advances in remote sensing
and Artificial Intelligence (AI), we … and AI to improve the resilience of agricultural systems, and …

… artificial intelligence techniques, decision aid, and new and renewed paradigms for sustainable
and resilient production … service systems, as well as resilient digital supply chains. As …

… Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
… powerful AI techniques to build supply-chain resilience (SCRes), curbing advances in …

… artificial intelligence techniques, decision aid, and new and renewed paradigms for sustainable
and resilient production … service systems, as well as resilient digital supply chains. As …

… By connecting technology with SC resilience in manufacturing and production, we can
rethink and improve resilience in today’s global SC (Wieland & Durach, 2021). The COVID-19 …

… of resilience by some supply chains, whereas others have used underutilized production …
To investigate the feasibility of artificial intelligence to develop supply chain resilience, our …

… and Bayesian network and machine learning to predict and understand the … production
resilience. Belhadi et al. (Citation2021a) found that fuzzy logic programming, machine learning …

… up production due to lockdowns. In disruptive events like this, the resilience of the production
… that cutting-edge technologies, such as Artificial Intelligence (AI), raise the proactive and …

… Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly
improve resilience … and BDA research in supply chain resilience that have been published in the …