Project Description
Project subject
Stowage planning is a crucial aspect of the logistics and transportation industry that plays a central role across all modes of transport.
It deals with the efficient placement of loads in sea containers, cargo holds or other loading units in order to make the best possible use of the available space and at the same time ensure safety during transportation.
Background
By optimizing congestion planning, companies can achieve considerable cost savings and thus strengthen their competitiveness. By using the available space efficiently, transportation costs can be reduced. In addition, the increased efficiency reduces the CO2 footprint and thus leads to further cost reductions.
Project objectives
The aim of the project is to optimize the stowage planning of loading units in forwarding, air and sea freight terminals. Our solution for mathematically optimized stowage planning offers an innovative approach to overcoming the challenges in the transport and logistics industry. It helps companies to achieve their goals effectively and make optimum use of their resources.
Tasks of the CML
Advanced planning algorithms and technologies are required to help companies improve their congestion processes in order to overcome challenges such as optimizing the use of space, complex restrictions, time pressure and sustainability. Mathematical optimization methods offer a promising approach to efficiently solve complex congestion planning problems and save valuable resources. In the project, sensors and cameras are used to record the dimensions and weight of individual goods. The data collected will be used by the Fraunhofer CML to develop algorithms for creating packaging patterns that comply with the relevant regulations.
Project consortium
Collaboration between the Aviation Logistics department of Fraunhofer IML in Frankfurt and the Maritime Logistics department of Fraunhofer CML in Hamburg