Now showing 1 - 3 of 3
  • Publication
    Cyber-physical systems in manufacturing
    ( 2016)
    Monostori, László
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    Kádár, Botond
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    Kondoh, Shinsuke
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    Kumara, Soundar R.
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    Reinhart, Gunther
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    Schuh, Günther
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    Sihn, Wilfried
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    Ueda, Kanji
    One of the most significant advances in the development of computer science, information and communication technologies is represented by the cyber-physical systems (CPS). They are systems of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using, at the same time, data-accessing and data-processing services available on the Internet. Cyber-physical production systems (CPPS), relying on the latest, and the foreseeable further developments of computer science, information and communication technologies on one hand, and of manufacturing science and technology, on the other, may lead to the 4th industrial revolution, frequently noted as Industrie 4.0. The paper underlines that there are significant roots in general - and in particular to the CIRP community - which point towards CPPS. Expectations towards research in and implementation of CPS and CPPS are outlined and some case studies are introduced. Related new R&D challenges are highlighted.
  • Publication
    Complementary research and education opportunities - a comparison of learning factory facilities and methodologies at TU Wien and MTA SZTAKI
    ( 2016)
    Kemeny, Zsolt
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    Nacsa, János
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    Erdos, Gábor
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    Glawar, Robert
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    Sihn, Wilfried
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    Monostori, László
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    Ilie-Zudor, Elisabeth
    Typical learning factories are characterized by selective simplification or scaling-down of complex and large-scale production processes, while also safely containing risks in the case of process failures inherent to experimental and didactic activities. The variety of aspects preserved by these scaled-down environments allow different approaches to be taken in research and education. The paper compares two facilities, at TU Wien and at MTA SZTAKI in Budapest, respectively, and highlights differences in their modes of operation, the resulting variations of course-based vs. project-based didactic approaches, as well as their place in technical higher education.
  • Publication
    A holistic approach for quality oriented maintenance planning supported by data mining methods
    ( 2016)
    Glawar, Robert
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    Kemeny, Zsolt
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    Nemeth, Tanja
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    Matyas, Kurt
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    Monostori, László
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    Sihn, Wilfried
    Appropriate maintenance measures, which are carried out at the right time are a key factor to secure plant availability, product quality and process efficiency in modern manufacturing systems. Established maintenance strategies oftentimes lack in combining these strongly related aspects. They are not capable to anticipate in a holistic way and therefore lead to unnecessarily high maintenance efforts, wasted resources and the occurrence of quality and availability impairments. In order to realize a holistic and anticipatory approach for maintenance planning, a methodology which consistently compiles and correlates various data via ""cause and effect"" coherences is depicted. By breaking down the production facilities on component level a basis is set to link condition monitoring data, wear data, quality and production data by using data mining methods. This framework enables the identification of maintenance-critical conditions and the prediction of failure moments and quality deviations.