During the last two decades the biggest business transformation was that digitalisation has enabled new forms of collaboration and value-provision by transiting from individual enterprises to digital platform enterprises. Resources are harnessed by opening the platform enterprise boundaries and providing an innovation space for third-parties to create add-on offerings as well as through the exploitation of network effects.
The manufacturing processes of the future need to be highly flexible and dynamic in order to satisfy customer demands for, e.g., large series production, mass customization, or changing orders. The organisations are also changing and manufacturing companies are not only part of sequential, long-term supply chains, but also part of (potentially) extensive manufacturing networks which require agile collaboration between partners.
HybriDLUX entwickelt neuartige Techniken und Werkzeuge zur hybriden, kollaborativen Modellierung und zum modellbasierten Debugging in hybriden Modellen, zwei Techniken, die als kritisch für die Einführung von modellbasierter Softwareentwicklung identifiziert wurden. Diese Techniken und Werkzeuge werden außerdem speziell für domänenspezifische Softwaresprachen, die von AVL im Anwendungsgebiet der Fahrzeugmess- und – prüftechnik evaluiert werden, implementiert und anhand einer erweiterten und verbesserten Version des im vorangegangenen DLUX Projekts entwickelten Evaluierungsrahmenwerks hinsichtlich Benutzerfreundlichkeit evaluiert.
CPS/IoT Ecosystem is a joint initiative under „Hochschulraum-Strukturmittel (HRSM)“ national funding platform administered by Austrian Federal Ministry of Science, Research and Economy. Cyber-physical systems (CPS) is a concept that unifies all computer driven systems interacting closely with their physical environment.
The dissertation project CODA addresses new, important research questions to combine operation data and configuration models/data for optimization of system configuration (engineering, planning, construction, maintenance) and operation. The results of CODA will be novel analytics methods and algorithms which will be exemplary evaluated for railway automation, but will be applicable to other domains as well.
Smart manufacturing requires deeply integrated IT systems in order to foster flexibility in the setup, re-arrangement and use of attached physical manufacturing systems. In a vertical integration scenario, IT systems of different vendors might be in use and proprietary interfaces need to defined in order to allow the exchange of relevant information from one system to another.