AI for Supply Chains

Supply-chain management used to be an arcane topic, discussed by a few and invisible to the general public. This has changed after the pandemic: the public is now aware of a topic that has become top-of-mind in many corporate boards. Supply chains have become larger, and e-commerce has proliferated, imposing significant environmental costs to meet new customer expectations. At the same time, many customers and suppliers, especially in rural regions, face increasing difficulties in procuring or delivering specific products. What is needed is a paradigm change, a new vision for supply chains that complements efficiency with resilience, sustainability, and equity goals. Research in supply chains at AI4OPT is centered around end-to-end supply chains, with scalability, resilience, sustainability, and equity as core challenges. AI4OPT has assembled a consortium of partners that cover (almost) all aspects of supply chains. It leverages novel forecasting methods, optimization proxies, decision making under uncertainty, and automation to meet these challenges.

AI4OPT works with partners on all aspects of end-to-end supply chains, from forecasting to optimization and risk management.

AI for Supply Chains Team

Alan Erera
Alan Erera
Georgia Institute of Technology
Sven Koenig
Sven Koenig
University of Southern California
Pieter Abbeel
Pieter Abbeel
University of California, Berkeley
Pinar Keskinocak
Pinar Keskinocak
Georgia Institute of Technology
Barna Saha
Barna Saha
UCSD Site
University of California, San Diego
Satish Thittamaranahalli
Satish Thittamaranahalli
University of Southern California
Pascal Van Hentenryck
Pascal Van Hentenryck
Director
Georgia Institute of Technology
Chelsea White
Chelsea White
Georgia Institute of Technology