From Theory to Practice: Data-driven Supply Chain Management

As machine learning and artificial intelligence becomes more integrated into supply chain methodologies, it promises to aid in some major challenges including segmentation, variability, and inventory management. This workshop is the second in the thematic series on supply chain management and data science. While the first workshop seeks to identify tools for industry arising from the academic community, this week-long event will take the reverse approach, with discussions initiated by specific problems arising from industry.  

This workshop will convene all relevant parties, including industry professionals, data scientists, and supply chain researchers, to understand the state-of-art developments, top challenges, and urgent needs in supply chain data analytics. The format will include tutorials and information sessions geared toward the application of new tools for immediate use in industry. It will also feature afternoon panel discussions where industry leaders can describe their challenges and interact with participants on potential solutions. These discussions will help identifying the potential directions where future focused efforts should be invested.