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Factory-Level Optimization

Use of simulation for process planning and monitoring
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1) optimize the conception of production lines, increase availabilty of production lines, optimize the orchestration of tasks
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Experiment connectivity solutions (private 5G, Ethernet TSN) for optimized use in the factory
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Guide the choice of network infrastructure before investment Demonstrate achievable performances
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Use of AI algorithm for autonomous decision making
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Enable a system or a robot to make a decision and act in a given situation
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Technology providers: Test with exchanging manufacturing information across the value chain
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Technology evaluation, demonstratror
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Manufacturing companies: Experiment with exchanging manufacturing information across the value chain to enable the transition towards remanufacturing
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Technology evaluation, demonstratror
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Selecting Digital & AR-MR operator support technologies
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Technology evaluation
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AI Factory Planner
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Demonstrate that application of AI reinforcement learning can greatly improve efficiently and reduce costs as compared to conventional heuristic production planning
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Increase speed, decrease cost, seize control of high mix, small series manufacturing characterized by infinite shape & material variation by end-to-end integration, digitalization, and factory and operator intelligence opportunities
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Evaluation of ability to leverage existing technology for high variability of parts
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Sorting of parts in order to reduce complexity, improve control of high mix, small series manufacturing characterized by infinite shape & material variation
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- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible. - The gained knowledge and infrastructure applied to new segments of applications & SMEs
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Increase quality assurance by 100% high speed inline dimensional inspection for manufacturing characterized by defects, variation, customization, and/or complex organic shapes
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- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible. - The gained knowledge and infrastructure applied to new segments of applications & SMEs
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Identification of parts in order to reduce complexity, improve control&traceability of high mix, small series manufacturing characterized by infinite shape & material variation
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- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible. - The gained knowledge and infrastructure applied to new segments of applications & SMEs
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Flexible Assembly with AI powered learning
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Technology evaluation
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IoT data validation
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Evaluation report.
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IT security check
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Evaluation report.
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Production Planning
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1) Production optimalisation 2) Time saving
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Data insight
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1) Data collecting 2) Quality prediction 3) Production prediction 4) Maintenance planing
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Computer modelling and simulation, data processing
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1) Replacement of physical systems 2) digital twin preparation 3) independent verification
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Electric drives optimization.
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1) Different type of optimalization 2) Data processing and collecting for AI assisted decision
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HIL development and component/integration testing for control systems/control algorithms/systems.
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1) Model 2) system testing and experimentation 3) faster prototyping
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Energy management in factories
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1) Different type of optimalization 2) Data processing and collecting for AI assisted decision
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Monitoring and quality evaluation of production processes (machining processes, additive manufacturing processes, laser-based production processes)
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Electric components testing
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1) Model 2) system testing and experimentation 3) faster prototyping
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Statistical process control
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1) Production optimalisation 2) Time saving
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Digitization strategy in production
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Additive manufacturing services
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AI-based software suitable for manufacturing
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Model-driven production
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1) Production optimalisation 2) Time saving
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Energy-aware production
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1) Different type of optimalization 2) Data processing and collecting for AI assisted decision
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Design and simulation services
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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