EUREKA ITEA3 AIToC
The purpose and goal of AIToC is to develop an integrated tool chain for the development of production systems and manufacturing preparation that supports decision-making from an early stage. The planned tool chain will support formalized and automated analysis of requirements, computer-aided generation of process plans, simulation models and generation and optimization of layout. The goal of integrating the tool chain is to find solutions for communication/data exchange between tools and plug & play functions in the creation of a complete simulated environment of the system Expected results and effects: By using AI techniques to manage and take advantage of the large amounts of data that are in production today, you can use experience from existing solutions and create models that can be reused. Integration of the tool chain with the help of standardization and neutral file formats, a higher degree of automation and the possibility of evaluating more alternative solutions will have a significant impact on efficiency (cost), quality of models and lead time for simulations in an industrial context. New functionality will also be provided. Approach and implementation: The project will initially follow a traditional project model and time planning, as well as specify requirements and concepts for solutions at an overall level. In each technical work package and especially in connection with various industrial demonstrators, the work will be guided through regular work meetings and to some extent use an "agile" way of working to focus collaboration and test solutions.
Martin Fabian (contact)
Full Professor at Chalmers, Electrical Engineering, Systems and control, Automation
Algoryx Simulation AB
Funding Chalmers participation during 2020–2023