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Resilience and disruption response with Erez Agmoni, Regional Head of Supply Chain Warehousing and Distribution - America at Maersk: Join MIT CTL's Alexis Bateman in conversation with Erez Agmoni about disruptions, supply chain design, and resilience tips for the supply chain and logistics professional. Interview recorded as part of mit.ctl.sc3x - Supply Chain Dynamics. Learn more abo... by MIT Supply Chain Frontiersratings:
Length:
48 minutes
Released:
Jul 16, 2024
Format:
Podcast episode
Description
Vehicle routing is one of the most well-understood, extensively studied problems in both history and academia—it's been studied by academics since the early 1800s. Yet 200 years later, optimal efficiency remains just out of reach. And given the enormous increase in pressure for consumer expectations in recent years, that remaining "last mile" of vehicle routing efficiency could, on a global scale, make a huge difference to a huge number of people.
In this episode, we're joined by Matthias Winkenbach, Director of Research at the MIT Center for Transportation & Logistics. Matthias is an expert in urban logistics, last-mile delivery, and vehicle routing, and he has just launched a new lab, the MIT Intelligent Logistics Systems Lab, that will use AI and machine-learning techniques to tackle today's vehicle routing challenges—and that could make a major impact on vehicle routing solutions where traditional methods and algorithms have come up just short.
intelligent.mit.edu
In this episode, we're joined by Matthias Winkenbach, Director of Research at the MIT Center for Transportation & Logistics. Matthias is an expert in urban logistics, last-mile delivery, and vehicle routing, and he has just launched a new lab, the MIT Intelligent Logistics Systems Lab, that will use AI and machine-learning techniques to tackle today's vehicle routing challenges—and that could make a major impact on vehicle routing solutions where traditional methods and algorithms have come up just short.
intelligent.mit.edu
Released:
Jul 16, 2024
Format:
Podcast episode
Titles in the series (30)
- 35 min listen