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Assistant: Learning and robust decision support system for agile manufacturing environments
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- Beldiceanu, Nicolas (author)
- IMT Atlantique, LS2N-CNRS, Nantes, France
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- Dolgui, Alexandre (author)
- IMT Atlantique, LS2N-CNRS, Nantes, France
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- Gonnermann, Clemens (author)
- TUM, Munich, Germany
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- Gonzalez-Castañé, Gabriel (author)
- University College Cork, Ireland
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- Kousi, Niki (author)
- Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece
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- Meyers, Bart (author)
- CodesignS, Flanders Make vzw, Belgium
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- Prud'homme, Julien (author)
- IMT Atlantique, LS2N-CNRS, Nantes, France
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- Thevenin, Simon (author)
- IMT Atlantique, LS2N-CNRS, Nantes, France
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- Vyhmeister, Eduardo (author)
- University College Cork, Ireland
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- Östberg, Per-Olov (author)
- Umeå universitet,Institutionen för datavetenskap
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(creator_code:org_t)
- Elsevier, 2021
- 2021
- English.
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In: IFAC-PapersOnLine. - : Elsevier. ; , s. 641-646
- Related links:
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https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- The European project ASSISTANT will provide a set of AI-based digital twins that helps process engineers and production planners to operate collaborative mixed-model assembly lines based on the data collected from IoT devices and external data sources. Such a tool will help planners to design the assembly line, plan the production, operate the line, and improve process tuning. In addition, the system monitors the line in real-time, ensures that all required resources are available, and allows fast re-planning when necessary. ASSISTANT aims to make cost-effective decisions while ensuring product quality, safety and wellbeing of the workers, and managing the various sources of uncertainties. The resulting digital twin systems will be data-driven, agile, autonomous, collaborative and explainable, safe but reactive.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- Artificial intelligence
- Data analytics
- Decision aid
- Digital twins
- Process and production planning
- Real-time control
- Reconfigurable manufacturing systems
- Scheduling
Publication and Content Type
- ref (subject category)
- kon (subject category)
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