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Department of Statistics

MUCADIS AI (Multi Carrier Dispatch Planning - AI-supported dispatch planning)

Information

The project aims to improve the efficiency and sustainability of shipping processes. Given the complex requirements for delivery schedules, transport capacities, and resource utilization, finding an optimal solution for shipping packages is crucial.

To achieve this, we are employing a two-stage solution approach:

  1. Generation of AI-based forecasts: Using comprehensive data analysis, short- and medium-term predictions for shipment volume and estimated time of arrival (ETA) will be generated.
  2. Optimization of shipping planning: Based on these forecasts, mathematical optimization will be applied to minimize costs while maximizing sustainability and resilience.

Project Participants

  • VCE Verkehrslogistik Consulting & Engineering GmbH
  • Chair of Mathematical Statistics and Applications in Industry, Department of Statistics, TU Dortmund University
  • Institute of Transport Logistics, Department of Mechanical Engineering, TU Dortmund University

Funding

The project is funded by the Federal Ministry of Education and Research as part of the funding program KI4KMU. The project started on September 1st 2024, and will run until August 31st 2027.

Contact Person