Using Visualization to Connect Humans and Analytics in Supply Chain Decision-Making

In supply chains and other large systems, the complexity of decision-making is becoming increasingly problematic. To manage the process, we need sophisticated analytics — but we must still engage the human element for best outcomes. Now, there are exciting advances in visualization and human-machine interfaces that are allowing humans and machines to get to better decisions together.

In this webinar, Matthias Winkenbach, research scientist at the MIT Center for Transportation & Logistics, discusses the ways companies and researchers can harness interactive visualization and augmented reality technology to change the way we access, understand, and utilize complex systems and logistics data.