Machine Learning & Supply Chain Management Workshop

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Workshop Overview

Iacocca Hall, Lehigh University.
Held: December 13-14, 2021

The TRIPODS+X workshop on Machine Learning & Supply Chain Management featured speakers from academia and industry whose research and practice makes innovative use of machine learning (ML) for making decisions in supply chains. Most recent applications of ML for supply chains fall under the categories of either descriptive or predictive analytics. For example, clustering methods have been used to segment customers or suppliers (descriptive), and deep neural networks have been applied to forecast demands (predictive). In contrast, the focus of this workshop was on the use of ML for prescriptive analytics within the supply chain—on using ML to optimize supply chains.

The aim of this workshop was to bring together researchers from both the ML and supply chain communities in order to foster a vibrant exchange of ideas and to stimulate new collaborations. The workshop featured:

  • 13 invited speakers
  • poster session for students
  • panel discussion

The workshop was funded by a NSF TRIPODS+X grant and hosted by the Institute for Data, Intelligent Systems, and Computation (I-DISC) at Lehigh. 

Schedule of Events
Speaker Abstracts, Bios and Presentation Videos 


Organizers: Larry Snyder & Jan Van Mieghem


  • Larry Snyder, Professor, Industrial & Systems Engineering and Director, I-DISC, Lehigh University.

  • Jan A Van Mieghem, A.C Buehler Professor and Professor of Operations, Kellogg School of Management, Northwestern University.