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Make Data Work
Oct 15–17, 2014 • New York, NY
David Simchi-Levi

David Simchi-Levi
Professor of Engineering , MIT

Website

David Simchi-Levi is a Professor of Engineering Systems at MIT and Chairman of OPS Rules Management Consultants, an operations strategy consulting company. He is considered one of the premier thought leaders in supply chain management.

His research focuses on developing and implementing robust and efficient techniques for logistics and manufacturing systems. He has published widely in professional journals on both practical and theoretical aspects of logistics and supply chain management.

Professor Simchi-Levi coauthored the books Managing the Supply Chain (McGraw-Hill, 2004), The Logic of Logistics (Springer 2005), as well as the award winning Designing and Managing the Supply Chain (McGraw-Hill, 2007). His new book Operations Rules: Delivering Customer Value through Flexible Operations was published by MIT Press in 2011.

Professor Simchi-Levi has consulted and collaborated extensively with private and public organizations. He is the founder of LogicTools which provides software solutions and professional services for supply chain planning. LogicTools is now part of IBM.

Sessions

9:00am–5:00pm Wednesday, 10/15/2014
Business & Industry
Location: 1 D03/1 D04
Jon Bruner (O'Reilly Media), Daniel Koffler (Rio Tinto Alcan), Ami Daniel (Windward), David Simchi-Levi (MIT), Victor Fang (Pivotal), Yu Cao (EMC), Nathan Oostendorp (Sight Machine), Alasdair Allan (Babilim Light Industries), Cameron Turner (The Data Guild), Leo Spiegel (Pivotal), Edy Liongosari (Accenture), Mark Grabb (General Electric Global Research Center)
Average rating: *****
(5.00, 3 ratings)
Big Data is reaching beyond the Internet and into the machines that drive our world. Visit Industrial Internet day to gain insights from the way that power plants, factories, cars, and airplanes make use of sensors and software intelligence to improve operations and help managers make good decisions. Read more.
11:00am–11:45am Wednesday, 10/15/2014
Industrial Internet
Location: 1D03/1D04
We outline how big data and decision science (i) help Ford change the way they manage its supply network to increase resilience; (ii) improved revenue at Rue La La, an online Retailer; and (iii) motivated Rolls-Royce to introduce a new business model. Read more.