Alliance AI and optimization for combined transport (ship, rail, road)

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Funding: Federal Ministry for Economic Affairs and Climate Action (Bundesministerium für Wirtschaft und Klimaschutz, BMWK)

Abstract: The KI pro KV project addresses the challenge of CT terminals that have to carry out daily and real-time planning on the basis of uncertain or incomplete information. The existing problems in order assignment and sequencing are to be solved by forecasting uncertain information and optimization processes. The implementation promises automated order assignment, improved terminal utilization and increased capacities. This leads to reduced truck waiting times, planning transparency for customers and more efficient planning decisions.

Max Engelhardt, Doctoral Researcher
max.engelhardt@utn.de, +49 911 9274-1605