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Research Interests

Business and Supply Chain Innovations



David Simchi-Levi is the William Barton Rogers Professor of Engineering Systems and serves as the head of the MIT Data Science Lab. He is considered one of the premier thought leaders in supply chain management and business analytics. His research, see Data Science Lab, focuses on developing and implementing robust and efficient techniques for operations management. He has published widely in professional journals on both practical and theoretical aspects of supply chain and revenue management.

David Simchi-Levi's Risk Exposure Model has pioneered a new approach to assessment of supply chain resilience and risk-tolerance. The work allows to quantitatively model and estimate the supply chain exposure to disruption and develop mitigation strategies. In February 2020, at the beginning of the COVID pandemic, Professor Simchi-Levi used the Risk Exposure Model to predict that supply chains in North America and Europe will stop by mid-march of that year, see HBR article, which is exactly what happened, see Fortune March 17, 2020 and New York Times March 18, 2020. Subsequently, in April of 2020, he coined the term Supply Chain Stress-Test, see HBR article, which relies on the Risk Exposure Model. Today companies around the globe are using his approach to quantify the resiliency of their supply chain and develop mitigation strategies.

He was the founder of LogicTools, which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012, he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016. In 2014, he co-founded Opalytics, a cloud analytics platform company focusing on operations and supply chain intelligence. The company became part of the Accenture Applied Intelligence in 2018.

See Prof. David Simchi-Levi's CV here.

Affiliations and Responsibilities

Service to the community

Supply Chain Practice

From theory to implementation