Collaborative project: Intelligent geodata-based inventory determination in container management for low-value load carriers (GeoBest)
Duration: 18.04.2024 to 31.12.2026
Funding reference: 100691183
The GeoBest research project - Intelligent geodata-based inventory determination in container management for low-value load carriers - aims to develop an economical, geodata-based tracking system for automated inventory management in container cycles with low-value load carriers. The central objectives are demand-oriented replenishment control, the avoidance of over- and under-deliveries and the bundling of transports to increase efficiency and sustainability. Together with LOGSOL GmbH, a provider of logistics software, digital twins and standardized tracking hardware - consisting of inexpensive local transmitters and more cost-intensive global trackers - are used to record transport movements and reliably estimate stock levels. Current tracking solutions such as GPS or RFID systems are often too cost-intensive or technically not universally applicable for this application. GeoBest addresses this gap by using a hybrid sensor network in combination with analytical modeling, simulation and machine learning methods. Analytical modeling and comprehensive simulations of complex logistics models such as Milkrun and Hub-and-Spoke in Siemens Plant Simulation show that precise inventory estimation is possible with just a few lighthouses. The results indicate a high potential for optimization, which is now to be tested in practical tests for economic efficiency and transferability.