19027 AIToC Artificial Intelligence supported Tool Chain in Manufacturing

Modern approaches for manufacturing engineering rely heavily on software tools for planning, simulation and automation. While these tools are highly sophisticated in their area of application, interoperability is lacking, due to missing standards and incompatibilities between tools, methods and formats. While some companies have developed internal standards and methods, there is no industry-wide standard. Engineering software tools therefore must be adapted to each company’s needs, with large efforts. Furthermore, overall optimization of the design of production systems is still largely done in an iterative process by experienced engineers, and usually not well supported by computer tools. This is due to the fact that the number of variants and combinations in which a production system can be built, is huge. The combinations of alternatives for manufacturing methods, operations planning, choice of resources and tooling, and the factory layout makes it difficult to do advanced simulations and evaluations of even a small set of alternatives.

The goal of AIToC is to develop an integrated tool-chain for manufacturing engineering that supports decision making from a very early phase on. 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.

Funding: ITEA 3 CALL 6
Project Calendar: 01.10.2020 – 30.09.2023
Project Total Budget: 15.107.24 k€
ARD Budget: 301.00 k€

Countries & Partners:

  • TURKEY(ARD BİLİŞİM TEKNOLOJİLERİ, Ericsson Arastırma Gelistirme ve Bilisim Hizmetleri, Eryaz Software, Ford Otosan, TOFAS, UNIT Information Technologies R&D Ltd.)
  • SWEDEN (ABB, ÅF-Industry AB, Algoryx Simulation, Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Solme AB, University of Technology Chalmers, Univrses AB, Volvo)
  • GERMANY (Daimler AG, DFKI German Research Center for Artificial, EKS InTec GmbH, in2sight gmbH, Institut für Automation und Kommunikation (IFAK), isb innovative software businesses GmbH, Raumtänzer GmbH, Software AG, TWT GmbH Science & Innovation)
  • FINLAND (Dark Amber Softworks, Lappeenranta University of Technology, MeVEA Ltd, Process Genius Oy, Raute Corporation)