Friday, December 1 • 2:20pm - 2:45pm
Data, Density and Technology – Perspectives on Last-Mile Logistics

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As cities grow in size, density, and complexity, companies need to re-think their distribution strategies to operate profitably in these constrained environments. In this talk, I will discuss how our team at the MIT Megacity Logistics Lab is leveraging different sources of data, including geo-spatial datasets, to better inform strategic and planning decisions in urban logistics. At its core, logistics is about moving goods between different locations. Thus, geo-spatial data plays a key role in enabling better decision-making. I will present several case studies to illustrate the combined use of logistics planning methods, data science algorithms and varied sources of data to support decisions in last-mile logistics.

avatar for Daniel Merchán

Daniel Merchán

Ph.D. Candidate, MIT
Daniel Merchán is a Ph.D. Candidate in Engineering Systems at the Massachusetts Institute of Technology. His research focuses on logistics operations in large urban areas. Specifically, Daniel explores how varied data sources can be leveraged to inform last-mile strategies and operational... Read More →

Friday December 1, 2017 2:20pm - 2:45pm