The Role of Generative AI in Supply Chain Resilience: A Fuzzy AHP Approach.

Supply chain managers rely on decision-making support to enhance resilience in the face of disruptions, emphasizing real-time monitoring and recovery actions. The COVID-19 pandemic underscores the necessity of digitalization for supply network mapping. Generative AI (Gen-AI) models offer transformative potential across various domains, facilitating proactive crisis management and resilience enhancement in supply chains. Specifically, ChatGPT's natural language capabilities streamline communication and aid in predicting disruptions. This study employs the Fuzzy AHP to investigate Gen-AI's impact on resilience drivers, integrating expert opinions and quantitative analysis. The research aims to identify key drivers influenced by Gen-AI, providing actionable insights for supply chain management strategies. Agility emerges as the most significant factor, followed by flexibility, visibility, information sharing, and collaboration. While collaboration ranks lowest, it remains vital for overall resilience. These findings support existing research, emphasizing the growing significance of agility in supply chains throughout market uncertainties. Gen-AI adoption improves agility by optimizing inventory management and response to disruptions. This research underscores the critical role of integrating Gen-AI to develop customized resilience strategies in supply chain management. By emphasizing agility, flexibility, and stakeholder cooperation, organizations can effectively leverage Gen-AI's predictive capabilities to enhance resilience and responsiveness in dynamic market environments. [ABSTRACT FROM AUTHOR]