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Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.


​​​The Fraunhofer Society (Fraunhofer Gesellschaft - FhG) undertakes applied research of direct utility to private and public enterprises and of wide benefit to society. The Fraunhofer Institute for Manufacturing Engineering and Automation (FhG-IPA) provides solutions to organisational and technological challenges, particularly within the production environment of industrial enterprises. Core business is the development, testing and piloting of methods, components and equipment, through the  implementation of complete manufacturing systems and plants. The work is being carried out on behalf of the manufacturing industry, or it is funded by public sector research programs, e.g. research programs initiated by the German ministries, by various research foundations and the European Union.The institute disposes of know-how, many years of experience, human resources, fully equipped laboratories and technology - in the field of product design, process development, factory and production planning to factory operation and maintenance management by using innovative and state-of-the-art technologies and tools for modelling, simulation, visualisation (VR) and optimisation of products and factories. 


​​Main roles in INSITER

  • T1.1: Embedding the use of process simulation in self-inspection methods; adapting state-of-the-art of Total Quality Management systems and other relevant innovations from smart manufacturing/Factory of the Future (FoF) to construction.
  • T2.1 and T2.2: Being responsible as leader of T2.1 and key contributor within WP2 as a whole; developing process simulation in connection with BIM and Augmented Reality; interfacing input from measurement and diagnostic instruments to AR.
  • T4.1: Connecting BIM modelling with simulation of (site) logistics and construction processes.
  • T5.1: Facilitating lab testing with the lab equipment and infrastructure of Fraunhofer;
  • T6.1, T6.2 and T6.3: Providing input to development of training modules and being a linking-pin between EU programme FoF and EeB; publications in professional and scientific journals, workshops and presentation to academia and professional associations; development of exploitation strategy and plan.
  • T7.1: Active participation in management meetings (general assembly); fulfilment of all obligations for reporting. 
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Key persons involved​


​​​​Dipl-Ing Günther Riexinger (male) studied Mechanical Engineering at the University of Stuttgart and is a researcher and project manager at Fraunhofer IPA in the department of “Factory Planning and Production Management”. His main competences are in the fields of production process planning, modelling, visualization, simulation and optimization as well as the design and development of engineering applications and services. He has several years of experience as project manager for Fraunhofer IPA in the realization of European and collaborative projects, such as EU FP7 DAPhNE (2012-2015) - “Development of Adaptive Production Systems for Eco-efficient firing processes” with his focus on energy and KPI management applications with simulation support for new production processes and e.g. EU FP7 VFF (2009-2013) - “Holistic, Extensible, Scalable and Standard Virtual Factory Framework”, with his focus on the development and integration of production planning tools and the validation in industry scenarios. ​

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Dipl-Ing​ Andreas Kluth (male) studied  Industrial Engineering and Technology Management at the University of Stuttgart and is researcher at the Fraunhofer IPA Stuttgart.  From 2009 to 2012  he worked in the department of Digital Factory. Since 2012 he is project manager and consultant in the department of order management and value creation networks. His main expertise are in the fields of  Business and production logistics, business process optimization, advanced complexity management, knowledge management in production, digital factory, material handling and logistics.​

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T his project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 636063.