Germany is one of the world’s leading innovation nations. Only with future-proof products can we hold our position in international competition. Technological research and innovation strengthen the economic system, secure jobs and ensure competitive services, processes and products. Read about our research projects at GEFASOFT.
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Innovative solutions generate more growth and promote development. In order to drive technological innovation, the promotion of research projects – with the aim of developing new products and technologies and increasing the quality of products – is firmly anchored in GEFASOFT’s corporate policy. In this way, GEFASOFT remains competitive as a company and creates sustainable structures.
„The topic of research and development is an essential part of our corporate policy, which is why we have been awarded the “Innovation through Research” seal of approval by the Stifterverband für die Deutsche Wirtschaft (Donors’ Association for the German Economy) on the basis of our activities in various research projects.”
Dr. Daniel Schütz, Gefasoft
We invest in scientific thinking and technical knowledge and are thus able to develop new services, products and processes. We as GEFASOFT are able to continuously improve ourselves and our products thanks to the investment in technological innovations, from which not only we but especially our customers benefit in the long term.
Process Application Composer: Automated generation of control applications and MES connection in process engineering.
The overall objective of the ProcAppCom research project is to reduce the manual effort involved in configuring control applications and MES applications. As a result, the costs for the automation of machines on the store floor and the associated MES can be significantly reduced. This goal is achieved through the consistent use of description models commonly used in systems engineering, in particular the Systems Modeling Language (SysML), but also the Automated Markup Language (AutomationML).
GEFASOFT’s main goal in the research project is to generate the initial configuration of Legato Sapient as well as changes to it as generically as possible based on the model information. In addition to generating the store floor connection via the Sapient Cloud Connector, this also includes creating the node structure and, above all, the visualization interfaces.
Publications:
Daniel Schütz, Thomas Aicher, Birgit Vogel-Heuser: Automatic Generation of Shopfloor Gateway Configurations from Systems Modeling Language. In: IEEE International Symposium on Systems Engineering (ISSE), 2017 Link
Dominik Hujo, Daniel Schütz, Benjamin Brunner: Dynamic Generation of Shopfloor Gateway Configurations from Standard System Engineering (CASE), 2018. Presentation only.
“Scalable integration concept for data aggregation, analysis, processing of big data in the process industry”.
The focus of SIDAP is the development and testing of Big-Data technologies within the process industry. Secure and scalable data integration architectures will be designed across companies for data aggregation. This is done in close cooperation with GEFASOFT as the leading MES provider, other IT providers and researchers in the field of “Integrated Information Systems for Automation Technology and for Operational Applications”.
Within the SIDAP project, GEFASOFT is responsible for the transfer of the developed approaches to manufacturing technology as well as the processing of the solutions for small and medium-sized enterprises. The focus of the overall project is mainly on process engineering, but a comprehensive approach is to be found. GEFASOFT’s goal is to keep the approaches scalable so that their use is also economical for smaller companies.
Picture: Sidap-sMES
Publications:
Daniel Schütz, Mónica Romero López: Smart Data in klein- und mittelständischen Unternehmen. In: Produktions- und Verfügbarkeitsoptimierung mit Smart Data Ansätzen – Automation Symposium 2018. Link
Emanuel Trunzer, Iris Weiss, Thorsten Pötter, Christian Vermum, Matthias Odenweller, Stefanie Unland, Daniel Schütz, Birgit Vogel-Heuser: Big Data trifft Produktion. In: atp Magazin Ausgabe 01-02 / 2019 (S.91-99). Link
„Synchrone Produktion durch teilautonome Planung und humanzentrierte Entscheidungsunterstützung“
(Synchronous production through semi-autonomous planning and human-centered decision support)
Linking real production with the digital factory in real time – this is the primary goal of the industry 4.0 project SOPHIE. This goal has been achieved by integrating techniques from the field of industry 4.0 and, in particular, software agents and multi-agent systems that can flexibly network a wide variety of IT systems, such as simultaneous systems and even machines.
The aim was to give decision-makers the opportunity to use virtual technologies such as augmented and virtual reality to compare planned and real processes directly in production and to validate the real production process with a virtual simulation.
With the goal of linking the digital factory with production in real time, GEFASOFT’s task in this context was to integrate the MES into the agent system for networking with simulation and machine data and to visualize simulation results in the web interface and on mobile devices.
Publications:
Mónica Romero López, Daniel Schütz: Integration des MES ins Agentensystem. In: Entscheidungsunterstützung in der Produktionsplanung und -steuerung (Shaker Verlag, ISBN 978-3-8440-5852-9), 2018. Link
Mónica Romero López, Daniel Schütz: Benutzerinteraktion und Visualisierung mittels MES. In: Entscheidungsunterstützung in der Produktionsplanung und -steuerung (Shaker Verlag, ISBN 978-3-8440-5852-9), 2018. Link
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