Overview

The SC&AI Lab focuses on using the latest advancements in supply chain analytics and artificial intelligence to solve critical challenges in logistics, optimization, and sustainability. Inspired by the complex systems found in both nature and industry, our research looks at how resources, information, and energy move through these systems. We combine geospatial analytics, data science, and machine learning to develop innovative solutions for global challenges like food insecurity, climate resilience, and operational efficiency.

Our goal is to design and implement new systems that use big data, AI, and optimization to improve decision-making in supply chain management. By drawing on methods from industrial systems engineering and operations research, we aim to redefine how supply chains adapt to dynamic and uncertain environments.

Ongoing and Future Projects

AI-Driven Risk Management in Textile Supply Chains: The textile industry presents complex challenges related to environmental impact, energy consumption, and supply chain variability. We are developing AI-based tools to predict and mitigate risks associated with disruptions, resource scarcity, and demand fluctuations. These tools leverage cloud computing and real-time analytics to enable data-driven decisions that enhance the efficiency and sustainability of textile supply chains.

Sustainable Materials and Circular Supply Chains: Sustainability in manufacturing requires innovations in material use and waste reduction. The SC&AI Lab is exploring data-driven solutions for integrating recycled and bio-based materials into textile production. By optimizing circular supply chain models, we aim to reduce the industry’s carbon footprint and promote eco-friendly practices.

Geospatial Optimization for Supply Chain Resilience: Supply chains face increasing risks due to climate change, population growth, and geopolitical disruptions. By integrating geospatial data with machine learning and optimization techniques, the SC&AI Lab aims to design adaptive distribution networks that enhance resilience to disruptions. Our work targets equitable access and sustainable logistics, with a focus on minimizing waste and improving resource efficiency.