[2404.00306] A blockchain-based intelligent recommender system framework for enhancing supply chain resilience

Computer Science > Computational Engineering, Finance, and Science arXiv:2404.00306 (cs) [Submitted on 30 Mar 2024 (v1), last revised 27 Feb 2026 (this version, v4)] Title:A blockchain-based intelligent recommender system framework for enhancing supply chain resilience Authors:Yang Hu View a PDF of the paper titled A blockchain-based intelligent recommender system framework for enhancing supply chain resilience, by Yang Hu View PDF Abstract:Applying advanced digital technologies such as artificial intelligence (AI), blockchain (BLC), bigdata analytics (BDA) and digital twin (DT)/simulations to enhance supply chain resilience (SCRes) has been widely discussed in light of the global pandemic, regional conflicts, and the technology revolution such as Industry 4.0 and 5.0. Previous studies are limited at the conceptual level as the proactive SCRes measure with a standalone fashion. The intelligent recommendation system (IRS) obtains the capabilities for enhancing SCRes as a reactive digital measure. However, the utilization of the IRS as the SCRes enhancement tool is neglected, investigation on implementing the IRS for the SC disruption response is yet to come. To close these gaps, a data-driven supply chain disruption response IRS baseline framework was proposed by this research as an initial SCRes reactive solution. To guarantee the reliability of the proposed IRS as a stable, secure, and resilient decision support system, blockchain technology is integrated into the baselin...