A group working together infront a white board.

    Active Working Groups

    Virtual and augmented reality

    Working Group Leader
     
       Antonio Kreß

       Technical University of Darmstadt, Germany

       a.kress@ptw.tu-darmstadt.de
     
       Thomas Riemann

       Technical University of Darmstadt, Germany

       t.riemann@ptw.tu-darmstadt.de
    Description

    A lot of learning factories are using VR & AR to show new applications in production and product development and to extend their didactical concept. In this working group different concepts and ideas to use VR & AR can be discussed.

    Members
    • Patrick Herstätter (Graz University of Technology, Austria)
    • Sri Kolla (University of Luxembourg, Luxembourg)
    • Dimitris Mourtzis (University of Patras, Greece)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • Panagiotis Stavropoulos (University of Patras, Greece)

    Sustainability and Circular Economy in Learning Factories

    Working Group Leader
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    Astrid Weyand

    Technical University of Darmstadt, Germany

    a.weyand@ptw.tu-darmstadt.de

    Description

    This working group is dealing with the overarching goal of sustainability and how it is addressed in learning factories, taking different levels of the term into consideration. In this regard, the concept of circular economy is seen as a key strategy. Topics of the working group and the participating members furthermore include energy and material efficiency.

    Members
    • Thomas Gries (RWTH Aachen, Germany)
    • Atacan Ketenci (Graz University of Technology, Austria)
    • Gesine Köppe (ITA Academy Aachen, Germany)
    • Jeff Mangers (University of Luxembourg, Luxembourg)
    • Vasiliki C. Panagiotopoulou (University of Patras, Greece)
    • Peter Plapper (University of Luxembourg, Luxembourg)
    • Kai Rüdele (Graz University of Technology, Austria)
    • Nada Ruzicic (Reutlingen University, Germany)
    • Panagiotis Stavropoulos (University of Patras, Greece)
    • Bastian Thiede (Braunschweig Institute of Technology, Germany)
    • Sebastian Thiede (University of Twente, Netherlands)
    • Matthias Wolf (Graz University of Technology, Austria)

    Human Robot Collaboration

    Working Group Leader
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    Bernd Kuhlenkötter

    Ruhr University Bochum, Germany

    kuhlenkoetter@lps.rub.de

    Description
    Application of HRC, quick and easy integration of HRC to workstations, universal intergration of one Cobot in multiple workstations.
    Members
    • Luca Gualtieri (Free University of Bozen-Bolzano, Italy)
    • Atal Kumar (University of Luxembourg, Luxembourg)
    • Peter Plapper (University of Luxembourg, Luxembourg)
    • Panagiotis Stavropoulos (University of Patras, Greece)

    AI for manufacturing systems / Artificial Intelligence in production processes

    Working Group Leader
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    Theresa Madreiter

    Vienna University of Technology, Austria

    theresa.madreiter@tuwien.ac.at

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    Linus Kohl

    Vienna University of Technology, Austria

    linus.kohl@tuwien.ac.at

    Description
    • Development and adaptation of AI algorithms for manufacturing systems
    • Process monitoring, -control and anomaly detection
    • Predictive quality and Zero-Defect-Manufacturing
    • Digital twins, simulation and process optimization
    • Predictive maintenance and condition monitoring
    • Application of different AI methods for the manufacturing environment: predictive maintenance, assistance systems, productions planing an controll, quality controll, shopfloor management, etc. Devopment of new KI-algorithms
    Members
    • Mohammad Abuabiah (University of Luxembourg, Luxembourg)
    • Fazel Ansari (Vienna University of Technology, Austria)
    • Muneer Al Zubi (University of Luxembourg, Luxembourg)
    • Tobias Biegel (Technical University of Darmstadt, Germany)
    • Matteo De Marchi (Free University of Bozen-Bolzano, Italy)
    • Nicolas Jourdan (Technical University of Darmstadt, Germany)
    • Bernd Kuhlenkötter (Ruhr University Bochum, Germany)
    • Dimitris Mourtzis (University of Patras, Greece)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • Walter Quadrini (Polytechnic University of Milan, Italy)
    • Panagiotis Stavropoulos (University of Patras, Greece)
    • Weimin Zhang (Tongji University, China)

    Human-centered work design in Learning Factories

    Working Group Leader
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    Sophie Sandner

    Technical University of Darmstadt, Germany

    s.sandner@ptw.tu-darmstadt.de

    Description
    • Development and combination of methods for the identification of potentials,
    • Digital assistance and its combination with artificial intelligence: Identifying Use Cases
    • Potential quantification (depending on Use Cases)
    • Analysis and improvement of the (automated) creation of information material
    • New methods for analysing workstation, in order to finde a potential for assistance systems, development of new contextsensitive and adaptive assistance systems
    • The assistance of workers in production with cognitive and physical systems is currently studied in various learning factories. In this working group the concepts and ideas of worker assistance systems can be discussed.
    Members
    • Matthias Eder (Graz University of Technology, Austria)
    • Bernd Kuhlenkötter (Ruhr University Bochum, Germany)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • Walter Quadrini (Polytechnic University of Milan, Italy)
    • Matthias Wolf (Graz University of Technology, Austria)

    5G in Learning Factories

    Working Group Leader
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    Weimin Zhang

    Tongji University, China

    iamt@tongji.edu.cn

    Description
    • Development and combination of methods for the identification of potentials,
    • Digital assistance and its combination with artificial intelligence: Identifying Use Cases
    • Potential quantification (depending on Use Cases)
    • Analysis and improvement of the (automated) creation of information material
    • New methods for analysing workstation, in order to finde a potential for assistance systems, development of new contextsensitive and adaptive assistance systems
    • The assistance of workers in production with cognitive and physical systems is currently studied in various learning factories. In this working group the concepts and ideas of worker assistance systems can be discussed.
    Members
    • Muneer Al Zubi (University of Luxembourg, Luxembourg)
    • Bernd Kuhlenkötter (Ruhr University Bochum, Germany)
    • Dimitris Mourtzis (University of Patras, Greece)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • Lukas Weiser (Karlsruhe Institute of Technology, Germany)
    • Eduardo de Senzi Zancul (University of São Paulo, Brazil)
    • Fabian Dietrich, Thorge Lackner (ESB Business School, Germany)

    Learning Factories World Wide (LFWW)

    Working Group Leader
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    Jonas Barth

    Technical University of Darmstadt, Germany

    j.barth@ptw.tu-darmstadt.de

    Description

    The vision of this Working Group is to provide comprehensive support (theoretical & practical) for capacity building at universities in development countries that cannot afford a learning factory. Through the design of the learning factory, a direct contribution to capacity building at the universities as well as an indirect contribution to the 17 SDGs by means of carefully selected product clusters will be achieved.

    Goal
    Establishment of 100 learning factories at universities in developing countries and operation by the local representatives within the next 5 years.

    Members
    • Rafiq Ahmad (University of Alberta, Canada)
    • Fazel Ansari (Technical University Vienna, Austria)
    • Jonas Barth (Technical University of Darmstadt, Germany)
    • Maira Callupe Arias (Polytechnic Univrsity of Milan, Italy)
    • Maria Ursula Hulla (Graz University of Technology, Austria)
    • Vera Hummel (ESB Reutlingen, Germany)
    • Marius Knott (Ruhr University Bochum, Germany)
    • Dimitris Mourtzis (University of Patras, Greece)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • Walter Quadrini (Polytechnic University of Milan, Italy)
    • Panagiotis Stavropoulos (University of Patras, Greece)
    • Sebastian Thiede (University of Twente, Netherlands)  
    • Astrid Weyand (Technical University of Darmstadt, Germany)
    • Andre Van der Merve (Stellenbosch University, South Africa)
    • Matthias Wolf (Technical University Graz, Austria) 

    Closed Working Groups

    Cross Learning Factory Product Production System (CLFPPS)

    Working Group Leader
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    Jan Schuhmacher

    ESB Business School, Germany

    jan.schuhmacher@reutlingen-university.de

    Description
    The aim of this working group is to develop a concept for a “Cross Learning Factory Product Production System (CLFPPS)” including Learning Factory teaching and training modules to foster the cross Learning Factory collaboration with a holistic consideration of the product design and creation processes in production networks. Therefore Learning Factories with complementary competency fields and infrastructures should collaborate to design and manufacture a common product in the sense of a distributed, industry-oriented production system. The IALF can benefit amongst others from an intensified collaboration in terms of joint learning modules for holistic, practice-oriented training going beyond the limits of existing joint courses between IALF members as the joint course of TU Darmstadt, Ruhr-University Bochum and Reutlingen University addressing competencies in the field of digitalization and Industry 4.0 from different perspectives. The developed concept will be transferred into a project proposal by the members of the Working Group to apply for funding also opening up the possibility to integrate industrial partners into the concept. Several years ago (2015) we already submitted a project proposal within the NIL-network in this field with the title “ExcEEd - Excellence in international product creation processes through networking European Learning Factories” within the EU Erasmus+ / Knowledge Alliances program, unfortunately the proposal was not successful.
    Members
    • Antonio Kreß (Technical University of Darmstadt, Germany)
    • Dimitris Mourtzis (University of Patras, Greece)
    • Panagiotis Stavropoulos (University of Patras, Greece)
    • Christopher Prinz (Ruhr University Bochum, Germany)
    • NN (Ruhr University Bochum, Germany)
    Major Results
    • Approach for a "Cross Learning Factory Product Production System (CLFPPS)" for circular economy has been developed
    • Identification of the required competencies for circular economy oriented production networks considering the product life cycle phases
    • Setting the basis for content-related networking with other IALF Working Groups to derive and detail the required competencies for CE to be addressed in Learning Factories
    Publication of results
    Schuhmacher, Jan and Barth, Jonas and Ruzicic, Nada and Kreß, Antonio and Knott, Marius and Panagiotopoulou, Vasiliki C. and Stavropoulos, Panagiotis and Kuhlenkötter, Bernd and Hummel, Vera, Development of an Approach for a 'Cross Learning Factory Product Production System' for Circular Economy (June 7, 2023). Proceedings of the 13th Conference on Learning Factories (CLF 2023), Available at SSRN: https://ssrn.com/abstract=4472089 or http://dx.doi.org/10.2139/ssrn.4472089

    The findings and further work will be transferred to the Working Group "Learning Factories World Wide (LFWW)"

    Learning Factory Design

    Working Group Leader
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    Antonio Kreß

    Technical University of Darmstadt, Germany

    a.kress@ptw.tu-darmstadt.de

    Description
    An increasing number of companies and universities are establishing and using learning factories for training, teaching and in research. It is a challenge to design a learning factory in a new context because of the lack of common methodology. A common approach will facilitate the integration of different factors into a specific design. Existing design approaches available today do not consider the new technological development, human aspects, digital needs, or cultural aspects.
    Members
    • Rafiq Ahmad (University of Alberta, Canada)
    • Jonas Barth (Technical University of Darmstadt, Germany)
    • Maira Callupe Arias (Polytechnic Univrsity of Milan, Italy)
    • Maria Ursula Hulla (Graz University of Technology, Austria)
    • Vera Hummel (ESB Reutlingen, Germany)
    • Walter Quadrini (Polytechnic University of Milan, Italy)
    • Thomas Riemann (Technical University of Darmstadt, Germany)
    • Astrid Weyand (Technical University of Darmstadt, Germany)
    Major Results
    • Revision and extension of the Learning Factory Morphology of 2015
    • New design elements were complemented to the previous seven design dimensions and new design dimensions were added
    • The revised version of the morphology provides a more targeted support in the design of new learning factories
    Publication of results
    Kreß, Antonio and Hummel, Vera and Ahmad, Rafiq and Hulla, Maria and Quadrini, Walter and Callupe, Maira and Gärtner, Quirin and Weyand, Astrid and Barth, Jonas and Riemann, Thomas and Fumagalli, Luca and Ramsauer, Christian and Metternich, Joachim, Revision of the Learning Factory Morphology (May 24, 2023). Proceedings of the 13th Conference on Learning Factories (CLF 2023), Available at SSRN: https://ssrn.com/abstract=4458050 or http://dx.doi.org/10.2139/ssrn.4458050

    The findings and further work will be transferred to the Working Group "Learning Factories World Wide (LFWW)"