Research
The Supply Chain Analytics Center of Excellence (SCA-CoE) focuses on developing advanced, data-driven decision support tools to create efficient, safe, resilient, equitable, and sustainable supply chain solutions across diverse industries like manufacturing, agriculture, energy, healthcare, and construction. The Supply Chain & Analytics faculty engage in a wide range of theoretical and applied research projects. The web pages of individual faculty members highlight research interests and activities.
Methodological Focus:
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Tackling large-scale combinatorial and stochastic optimization problems.
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Integrating optimization, machine learning, simulation, and statistics to address complex decision-making under uncertainty.
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Advancing explainable and trustworthy AI methods.
Application Areas:
SCA-CoE addresses supply chain challenges at regional, national, and global levels, including:
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Pharmaceuticals: Redesigning API manufacturing supply chains across strategic, tactical, and operational levels.
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Agribusiness: Supporting climate-smart farming and resilient, equitable supply chain design.
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Emerging Technologies: Using drones, electric vehicles, blockchain, IoT, and indoor farming for innovative supply chain systems.
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Transportation: Enhancing inland waterways and Mississippi River logistics through inter-modal network design and uncertainty-aware planning.
Collaboration & Impact:
SCA-CoE collaborates with UMSL’s IP Management and industry partners to transfer research into practice, aiming to make a meaningful societal impact.
