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Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0

Chodnicki, Marek (author)
Gdańsk University of Technology, Gdańsk, Poland
Deja, Mariusz (author)
Gdańsk University of Technology, Gdańsk, Poland
Vosniakos, George Christopher (author)
National Technical University of Athens, Athens, Greece
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Benardos, Panorios (author)
National Technical University of Athens, Athens, Greece
Wang, Lihui (author)
KTH,Produktionsutveckling
Wang, Xi Vincent, Dr. 1985- (author)
KTH,Produktionsutveckling
Braun, Thomas (author)
Technische Universität Berlin, Berlin, Germany
Reimann, Robert (author)
Technische Universität Berlin, Berlin, Germany
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 (creator_code:org_t)
Springer Nature, 2024
2024
English.
In: Flexible Automation and Intelligent Manufacturing. - : Springer Nature. ; , s. 708-715
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

Industry 4.0
Manufacturing excellence
Smart factory

Publication and Content Type

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