Faunhofer Project Center for Production Management and Informatics PMI
Now showing 1 - 4 of 4
PublicationComplementary research and education opportunities - a comparison of learning factory facilities and methodologies at TU Wien and MTA SZTAKI( 2016)
;Kemeny, Zsolt ;Nacsa, János ;Erdos, Gábor ;Glawar, Robert ;Sihn, Wilfried ;Monostori, LászlóIlie-Zudor, ElisabethTypical 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.
PublicationA holistic approach for quality oriented maintenance planning supported by data mining methods( 2016)
;Glawar, Robert ;Kemeny, Zsolt ;Nemeth, Tanja ;Matyas, Kurt ;Monostori, LászlóSihn, WilfriedAppropriate 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.
PublicationOpen source ERP: Reasonable tools for manufacturing SMEs?( 2011)
;Sauer, MarcusEgri, PéterInformation technology is unavoidable in every part of life and business management is also not an exception. One of the most widespread solutions is the use of enterprise resource planning (ERP) systems that has proved to support the integration and automation of the processes, the improvement of the performance, and the reduction of costs. Yet, several - mostly small and medium - enterprise cannot afford the time, the uncertainty and the resources that are required by the implementation of an ERP system.