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Active PROJECT GRANT Swedish Research Council

Eureka SMART Dynamic SALSA

41M kr SEK

Funder Vinnova
Recipient Organization Kth, Royal Institute of Technology
Country Sweden
Start Date Apr 01, 2023
End Date Mar 31, 2026
Duration 1,095 days
Number of Grantees 1
Roles Principal Investigator
Data Source Swedish Research Council
Grant ID 2022-02413_Vinnova
Grant Description

Purpose and goal:

Dynamic SALSA (Dynamic Scheduling of Assembly and Logistics Systems using AI) aims to develop AI solutions and practical software applications for dynamic scheduling in smart assembly and logistics including new digital services based on ICT for the automotive sector. The Swedish consortium of Dynamic SALSA focuses on applying digital technology in material handling to realize smart product-service-software systems that enable value creation through monitoring, control, optimization and autonomous material handling services.

Expected results and effects:

The main results of this project include development of: theories, algorithms and demonstrators from university environments in Sweden and South Korea; ICT features, modules and offerings within SMEs; as well as applications for factory environments and demonstrators for larger manufacturing companies. Long-term effects of Dynamic SALSA are to contribute to realising the vision of a smart and sustainable factory including connected technology, data collection and analysis, and automated predictive and prescriptive actions.

Approach and implementation:

The project consortium includes manufacturers from the automotive sector (Scania from Sweden and Woojin from South Korea), SMEs specialized in ICT (SIB Solutions from Sweden and Corners from South Korea) and universities from Sweden (KTH) and South Korea (SKKU and SNU) with expertise in the use of AI and digital twins in smart assembly and logistics. The project follows a classic development process, with phases of concept development, design and implementation.

The development is in two areas, assembly and material handling, with responsibilities among partners.

All Grantees

Kth, Royal Institute of Technology

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