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Greener logistics with AI
In this week’s NORA webinar, you will meet Signe Riemer-Sørensen and Camilla Sterud from SINTEF Digital.
Transportation of goods from A to B is directly linked to CO2 emission and hence efficient logistics will reduce emission. Efficient transportation is a classical problem in optimization theory, but recent advances in machine learning open new possibilities. Rather than optimizing on simplified analytical systems, we can use data driven descriptions of the systems. We will demonstrate the idea on a practical example with improved coordination between excavators and dumpers in large road construction projects. In addition, machine learning can potentially improve the internal efficiency of optimization algorithms, in particular for situations where similar optimization tasks are solved on a regular basis. We will illustrate this through a real life example of stacking boxes on pallets.

Sep 24, 2021 02:00 PM in Oslo

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