Daniel Steeneck is a Postdoctoral Associate at the MIT Center for Transportation & Logistics. His current research interests are in the use of analytical techniques to solve problems encountered in Supply Chain Management. Prior to joining MIT, Dr. Steeneck completed his Ph.D. in Industrial and Systems Engineering at Virginia Tech. He wrote his dissertation in the area of Reverse Supply Chain Management regarding how to optimally determine the value recovery strategies for end-of-life products, their designs, and their prices. Additionally, he has done work in the area of Resource-Constrained Project Scheduling. His writings have been published in The International Journal of Production Researchand Journal of the Operational Research Society.
While a graduate student at Virginia Tech, Dr. Steeneck taught courses in Discrete-Event Simulation and Work Measurement and Methods Engineering. Additionally, he has worked closely with the Logistics Management Institute, Volvo North America, and Dex Truck Parts. This work has spanned a wide range of areas, including manufacturing processes, facility layout and design, Department of Defense logistics, and human factors. While a master’s student at Virginia Tech in Industrial and Systems Engineering, he was nominated by his department for the College of Engineering’s Outstanding Engineering Master’s Student Award. Between his masters and Ph.D., Dr. Steeneck worked as a Warfare Analyst for the Naval Surface Warfare Center, Carderock Division. He also obtained his Bachelor's of Science in Industrial and Systems Engineering from Virginia Tech.