DTC Leading Edge Seminar Series
Ford Motor Company
Wednesday, February 26, 2014
3:30 p.m. reception
4:00 p.m. seminar
401/402 Walter Library
Ford's Fleet Purchase Planner (patent pending) is the first of its kind in promoting sustainability as a central purchase consideration for organizations with large vehicle fleets. In recent years, several new green vehicle technologies have emerged that present opportunities for increasing fuel economy, but this growing number of options is also making planning purchases a significantly more complicated endeavor. This decision support system is designed to simplify this process by optimizing for individual driving patterns. We are helping our fleet customers find the most cost-effective opportunities for increasing their sustainability.
Daniel Reich joined Ford Motor Company, Research & Advanced Engineering, as an Operations Research Analyst in 2011. He received his Bachelor of Science from Columbia University's School of Engineering and Applied Science in 2004 and his PhD in Applied Mathematics from the University of Arizona in 2009. Before joining Ford, Daniel spent two years as a Postdoctoral Research Fellow at the Universidad Adolfo Ibanez School of Business in Santiago, Chile. During his graduate studies and postdoctoral work, Daniel authored several papers on computationally tractable heuristic approaches for optimization under uncertainty. Daniel continues to retain strong ties to the academic community through the Ford-University of Michigan Alliance and Ford-MIT Alliance programs. Early work from his collaboration with MIT on electric vehicle routing was selected as a semi-finalist for the 2012 INFORMS Innovative Applications in Analytics Award. Daniel's current projects at Ford include developing optimization models for scheduling, sales and other applications. He co-developed Ford's Fleet Purchase Planner, which has been featured in Wards Auto, Green Car Reports, Automotive Fleet Magazine and other publications. This work also received the Best Paper Award at the 2013 International Conference on Operations Research and Enterprise Systems and is a semi-finalist for this year's INFORMS Innovative Applications in Analytics Award.