To meet the rising customer expectations in e-commerce, companies promise increasingly short lead-times. The additional required responsiveness puts an additional burden on the last-mile distribution network. The strategic design of such networks is a major driver of the overall distribution efficiency. We propose an efficient simulation-based optimization approach that captures the non-linear and non-convex characteristics of the strategic network design problem. Leveraging this, we provide insights into key drivers of the performance of highly responsive urban distribution networks.
André Snoeck is a Ph.D. candidate in MIT's Interdepartmental Program in Transportation and a research assistant at the Megacity Logistics Lab at the MIT Center for Transportation and Logistics. His current research focuses on multi-tier distribution network design in the context of (highly responsive) urban logistics and last-mile delivery, as well as data analytics in urban logistics.
Before coming to MIT, he received both his Bachelor and Master degree in Industrial Engineering at Eindhoven University of Technology in the Netherlands with a specialization in Operations Management and Logistics. His previous work includes cooperation with Royal FloraHolland, on the impact of flower auction digitalization on the supply chain, and Trinseo, on supply chain risk mitigation. In 2012, he co-founded Solar Team Eindhoven to develop Stella, world’s first solar powered family car. The team won the 2013 Bridgestone World Solar Challenge and received the award for Best Technology Achievement at the annual Silicon Valley Crunchie Awards in 2015, beating Apple Pay and SpaceX.
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