Dynamic Scheduling of Assembly and Logistics Systems using Ai (Dynamic SALSA)
The project aims to develop AI solutions and practical software applications for dynamic scheduling technologies in smart assembly and logistics. This includes novel digital services based on information and communication technologies for the automotive sector. The project consortium includes original equipment manufacturers in the automotive sector, small and medium-sized enterprises, and universities from Sweden and South Korea, all with expertise in the use of AI and digital twins for smart assembly and logistics.
Two consortiums
Aim of consortium in Sweden
Apply AI solutions and software applications for dynamic scheduling technologies in logistics, based on vision-based data-collection.
Value of consortium in Sweden
Applying digital technologies in material handling for realizing smart product-service-software systems that enable value creation through monitoring, control, optimization, and autonomous services.
Aim of consortium in South Korea
Apply AI solutions and software applications for digital twins and dynamic scheduling technologies in assembly.
Value of consortium in South Korea
Applying digital technologies in assembly for realizing smart product-service-software systems based on digital twin technologies.
Project Goals
The project pursues two key technological innovations in regard to the state-of-art:1. Vision-based systems, Digital Twins and dynamic scheduling for assembly aims to aims to minimize human intervention through AI and DT.2. Applying and testing Ai-based solutions for dynamic scheduling and execution of logistics and assembly for improving performance and well-being of staff in manufacturing.
