Supply Chain Resilience in SMEs: Integration of Generative AI in Decision-Making Framework

Supply chains for Small and medium-sized enterprises (SMEs) are more vulnerable to increasing occurrence of disruption events. These disruptions have a significant impact on their operations' continuity and performance which results in a loss of customer satisfaction and their market share. Building a resilient SC is a significant challenge for such enterprises due to their limited resources. In this paper, we present the integration of generative AI in a decision-making framework to enhance supply chain resilience (SCR) for SMEs. The ability of Artificial intelligence to generate new scenarios and analyze large data has been integrated at different stages of the decision-making framework. Starting from the initial stage of the framework, AI-generated novel scenarios aid in risk identification. Later, the decision-making framework can get insights from AI in order to trigger optimal mitigation strategies. The AI-integrated framework aims to speed up the decision-making process by identifying, analyzing, and evaluating optimal mitigation strategies to overcome disruption risks and to achieve the objective of SC resilience. Our study provides a practical tool for SMEs to achieve resiliency for their SCs.