Abstract
The Dynamic SALSA project will develop Ai solutions and practical software applications for dynamic scheduling technologies in smart assembly and logistics including novel digital services based on ICT for the automotive sector. The project will achieve a unified framework and interoperable platform, and practical 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. The project consortium includes original equipment manufacturers of the automotive sector, SMEs specialized on ICTs, and universities from Sweden and South Korea with expertise in the use of Ai and digital twins in smart assembly and logistics. The major results of this project include the development of theory, algorithms, and demonstrators from universities; functions, modules, and packages from SMEs in ICT; and floor shop applications and demonstrators for LEs. The project identifies key performance indicators of economic, environmental and social sustainability for measuring its achievements.
Consortium

COORDINATOR

KTH

Magnus Wiktorsson
magwik@kth.se
kth.se

PARTNERS

WJIS

SNU

SKKU

CORNERS

SiB

SCANIA