Director of the MIT Megacity Logistics Lab; Director of the MIT CAVE Lab
Multi-tier Distribution Network Design, Urban Logistics, Last-Mile Delivery, Urban Freight Policy, Data Analytics and Visualization
Matthias Winkenbach is the Director of the MIT Megacity Logistics Lab and a Research Associate at the MIT Center for Transportation & Logistics. His current research focuses on multi-tier distribution network design in the context of urban logistics and last-mile delivery, urban freight policy and infrastructure design, as well as data analytics and visualization in an urban logistics context. Dr. Winkenbach received his Ph.D. in Logistics and his Masters in Business with specializations in Finance and Economics at WHU -- Otto Beisheim School of Management in Germany. He also studied at NYU Stern School of Business in New York as well as at the ecole des Hautes Etudes Commerciales (HEC) in Montreal, Canada. His doctoral studies focused on the optimal design of multi-tier urban delivery networks with mixed fleets. His work was closely linked to a research project with the French national postal operator La Poste.
During and after his doctoral studies, he spent several months at the MIT Center for Transportation & Logistics as a Visiting Scholar. Dr. Winkenbach's previous professional work includes working with Volkswagen in South Africa on local sourcing and cost optimization, with Deutsche Telekom in Germany on co-investment models for network infrastructure expansions, with McKinsey & Company in the United States, and in Germany on organizational redesign in the automotive industry and on innovative delivery models in the postal and express logistics sector, as well as various other projects in the mining, shipbuilding, consulting and logistics industries.
Dr. Winkenbach won the Science Award for Supply Chain Management of the German Logistics Association (BVL) in 2014, was amongst the finalists for the 2015 Daniel H. Wagner Prize for Excellence in Operations Research Practice, and recently published academic papers in Transportation Science, and Interfaces, as well as some practitioner oriented pieces in the Wall Street Journal and the Sloan Management Review.
Vehicles and Energy; Freight and Logistics; Big Data, Visualization and Media; Networks and Systems; Operations Research and Statistics; Urban Planning, Design and Policy