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Dynamic SALSA – Dynamic Scheduling of Assembly and Logistics Systems using AI

Dynamic SALSA develops Ai solutions and practical software applications for dynamic scheduling technologies in smart assembly and logistics for the automotive sector

Smart Logistics

Scope and objectives

Dynamic SALSA develops Ai solutions and practical software applications for dynamic scheduling technologies in smart assembly and logistics for the automotive sector. It involves OEMs, SMEs and universities from Sweden and the Republic of Korea. The project establishes a unified framework and interoperable platform, and shop floor applications for end-to-end engineering in smart manufacturing including Ai, digital twins, Industrial Internet of Things, and vision-based system for data gathering. This project contributes to enhancing economic, environmental, and social sustainability including smart logistics and assembly.

Project Facts

Funding program

The Dynamic SALSA project has received funding from Vinnova - Sweden’s Innovation Agency, and Korean Institute for Advancement of Technology (KIAT) through Eureka and the Clusters programme and SMART Cluster. 

Project partners

  • KTH Royal Institute of Technology
  • Scania AB
  • SiB Solutions
  • Sungkyunkwan University
  • Seoul National University
  • WOOJIN Industrial Systems
  • CORNERS CO., LTD.

Duration

Project start date: 01/04/2023

36 months

Budget

Total: 1,869 M€

KTH: 366 k€

Contact

Principal Investigator for Dynamic SALSA

Magnus Wiktorsson
Magnus Wiktorsson professor

Operative manager for Dynamic SALSA

Erik Flores Garcia
Erik Flores Garcia assistant professor