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Resource allocation and scheduling for future avionic systems

Reference number
Coordinator Saab AB
Funding from Vinnova SEK 1 082 662
Project duration September 2023 - August 2024
Status Completed
Venture Strengthened Swedish aeronautical research and development

Important results from the project

The project has aimed to create a solid foundation for research in mathematical optimization methods for resource allocation and scheduling of future avionics systems. The aim has also been to build competence in relevant technologies and to deepen the collaboration between Saab Aeronautics and Linköping University (LiU). The project goals have been achieved. These included developing a system model to be used as a basis for further research, to produce associated data for evaluation, and to develop methods for solving some of the optimization problems that arise.

Expected long term effects

The project has established a good foundation for continued collaboration between LiU and Saab in the field. The project group has studied research literature on key technologies, especially TSN, and started method development. This has created a deeper understanding of challenges and opportunities, and created good conditions for continuing the research. For the continuation, a project has been designed (and received funding through NFFP8 call 2) which includes participation of a new industrial PhD student. A new contact from the computer science department will also join.

Approach and implementation

The project was a collaboration between Saab Aeronautics in Linköping and the research group “Mathematics and algorithms for intelligent decision-making” at the Department of Mathematics, LiU. The project group had a common office at the university where they regularly worked and had meetings. This contributed to an active interdisciplinary cooperation and created good conditions for continued joint research and the establishment of new contacts. A new contact from the computer science department at LiU will participate in the longer project that will follow.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 4 October 2024

Reference number 2023-01567