Today's globalized supply chains face a multitude of challenges and disruptions such as natural disasters, geopolitical tensions, and other unforeseen crises. Ensuring resilience and efficiency under these circumstances is a considerable challenge. Existing traditional methods are often insufficient to meet the dynamic nature of these challenges. Moreover, a lack of real-time, high-quality data and information can hinder decision-making and strategy development for managing supply chains.
We are working on leveraging emerging technologies like artificial intelligence (AI), machine learning (ML), blockchain, and Internet of Things (IoT) to enhance the resilience and efficiency of supply chains. These technologies will facilitate real-time data collection and processing, predictive analytics for risk management, and secure and transparent transactions. AI and ML can help predict and manage disruptions, optimize logistics and inventory management, while blockchain and IoT can improve traceability, reduce fraud, and enhance security.
The application of these technologies is expected to dramatically improve the resilience of supply chains to various disruptions, enabling them to bounce back quickly and maintain operations. At the same time, they can enhance efficiency by optimizing logistics and inventory, reducing waste, and improving transaction transparency and security. Overall, the project aims to contribute significantly to the transformation of supply chain management, making it more robust, efficient, and sustainable. In addition, our research will provide valuable insights and tools for businesses and stakeholders in the supply chain, facilitating more informed decision-making and strategy development.
We are looking for researchers, students, funding and partners to help take our research to the next level.