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.
Swedish Consortium
The aim of consortium in Sweden is to apply AI solutions and software applications to dynamic scheduling technologies in logistics, based on vision-based data collection. Its focus is on applying digital technologies in material handling for realizing smart product-service-software systems that enable value creation through monitoring, control, optimization, and autonomous services.
South Korean Consortium
The aim of the consortium in South Korea is to apply AI solutions and software applications to digital twins and dynamic scheduling technologies in assembly. Its focus is on applying digital technologies in assembly to realize 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.
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