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Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0
Gdańsk University of Technology, Gdańsk, Poland.
Gdańsk University of Technology, Gdańsk, Poland.
National Technical University of Athens, Athens, Greece.
National Technical University of Athens, Athens, Greece.
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2024 (English)In: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems, Springer Nature , 2024, p. 708-715Conference paper, Published paper (Refereed)
Abstract [en]

The importance of the economy being up to date with the latest developments, such as Industry 4.0, is more evident than ever before. Successful implementation of Industry 4.0 principles requires close cooperation of industry and state authorities with universities. A paradigm of such cooperation is described in this paper stemming from university partners with partly overlapping and partly complementary areas of expertise in manufacturing. Specific areas that are targeted include Additive Manufacturing, cloud computing and control, Virtual Reality, Digital Twins, and Artificial Intelligence. The manufacturing system domains that are served pertaining to process planning and optimization, process and system monitoring, and innovative / precision manufacturing. The described collaborative research and training framework involves a combination of pertinent targeted individual exploratory innovation projects as well as a synthetic multifaceted common research project. Based on these, the research and innovation project knowledge will be transferred to the industry by building a Cluster of Excellence, i.e., a network consisting of academic and industrial stakeholders.

Place, publisher, year, edition, pages
Springer Nature , 2024. p. 708-715
Keywords [en]
Industry 4.0, Manufacturing excellence, Smart factory
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-337869DOI: 10.1007/978-3-031-38241-3_79Scopus ID: 2-s2.0-85171592788OAI: oai:DiVA.org:kth-337869DiVA, id: diva2:1803874
Conference
32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023, Porto, Portugal, Jun 18 2023 - Jun 22 2023
Note

Part of ISBN 9783031382406

QC 20231010

Available from: 2023-10-10 Created: 2023-10-10 Last updated: 2023-10-10Bibliographically approved

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Wang, LihuiWang, Xi Vincent

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
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Output format
  • html
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