News published by the University of Klagenfurt about the Department of Economics, Analytics and Operations Research published by the University of Klagenfurt

Data-driven fleet planning: How many vehicles does a company need to deploy?

How many delivery vehicles does a company really need, and which vehicle configurations make sense throughout the year? This question poses major challenges for corporate logistics departments. Christian Truden (University of Klagenfurt) and Mike Hewitt (Loyola University Chicago) have now developed a new data-driven approach that shows how vehicle fleets can be planned efficiently even under strongly fluctuating demand and pronounced seasonality.

“When you’re doing your thing, you don’t feel stressed.”

Some want to simplify the shopping experience, others want to prepare financial data, and yet others want to offer businesses customized AI tools. What unites these potential founders is that they all use AI technologies to solve challenging problems for various target groups. The six prospective founders are supported in developing their ideas by vor.GRÜNDEN, an initiative run by the Carinthian Economic Promotion Fund (KWF). Isabella Hold, spin-off manager at the University of Klagenfurt, is there to provide support.

Greater efficiency along the ‘middle mile’ in logistics as a result of collaboration between companies

When goods are delivered from A to B, a significant part of the journey involves transporting shipments between warehouses, hub facilities and distribution centres. A research team working on the COMMIT project, which is funded by the Austrian Science Fund FWF, is developing technologies to prevent vehicles from travelling this ‘middle mile’ empty or with low load utilisation. The project is co-located at the University of Vienna and the University of Klagenfurt.