Optimizing Sustainability and Risk Management in Intelligent Supply Chains: A Case Study from Thailand

In this study, an exploration is undertaken to contribute significantly to the sustainable development of intelligent supply chains by investigating the optimization of the supply chain network within the realm of risk management, with specific attention devoted to resource reliability. The formalization of risk management and its integration into intelligent supply chain optimization is evaluated through an online survey involving leaders of enterprises in Thailand. A novel mathematical model aimed at enhancing risk mitigation while considering the availability of requisite resources is introduced and subsequently optimized utilizing GAMS software. To address the multi-objective nature inherent in the proposed model, an approach grounded in fuzzy theory is applied. The research outcomes illuminate the evolving role of risk mitigation within Thai enterprises, emphasizing its responsibility to provide assurances against potential risks. Despite notable strides in risk management, persistent challenges are underscored. Furthermore, emphasis is placed on the capacity of intelligent supply chains to adapt and efficaciously address dynamic risk factors in an ever-evolving world, aligning seamlessly with the principles of sustainable development.