The goal of AIToC is to develop an integrated tool-chain for manufacturing engineering that supports decision making from a very early phase on. The AIToC scope and approach includes development of existing or new tools for requirements definition and management, generation of process plans, generation of equipment models and layout generation. To achieve this, a model-driven approach will be used for definition of the product and production requirements.
The planned tool-chain will support formalization and automated analysis of requirements, computer-aided generation of simulation models, and software-supported generation of layout. In all of these dimensions, Artificial Intelligence (AI) technologies will be used to handle the large amounts of data that are being created, and to learn from existing solutions. This will be implemented using e.g. knowledge management and expert system, natural language processing and machine learning. The integration of the tool chain will focus on and find solutions for interoperability of tools, and plug & play capabilities, to be flexible in building simulation environment. This will have a substantial impact on efficiency (cost), quality of models and lead time for simulations in industrial context. New functionality will also be provided.
