TY - GEN A1 - Ullrich, Andre A1 - Enke, Judith A1 - Teichmann, Malte A1 - Kress, Antonio A1 - Gronau, Norbert T1 - Audit - and then what? BT - a roadmap for digitization of learning factories T2 - Procedia Manufacturing N2 - Current trends such as digital transformation, Internet of Things, or Industry 4.0 are challenging the majority of learning factories. Regardless of whether a conventional learning factory, a model factory, or a digital learning factory, traditional approaches such as the monotonous execution of specific instructions don‘t suffice the learner’s needs, market requirements as well as especially current technological developments. Contemporary teaching environments need a clear strategy, a road to follow for being able to successfully cope with the changes and develop towards digitized learning factories. This demand driven necessity of transformation leads to another obstacle: Assessing the status quo and developing and implementing adequate action plans. Within this paper, details of a maturity-based audit of the hybrid learning factory in the Research and Application Centre Industry 4.0 and a thereof derived roadmap for the digitization of a learning factory are presented. KW - Audit KW - Digitization KW - Learning Factory KW - Roadmap Y1 - 2019 U6 - https://doi.org/10.1016/j.promfg.2019.03.025 SN - 2351-9789 VL - 31 SP - 162 EP - 168 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Teichmann, Malte A1 - Ullrich, Andre A1 - Gronau, Norbert T1 - Subject-oriented learning BT - a new perspective for vocational training in learning factories T2 - Procedia Manufacturing N2 - The transformation to a digitized company changes not only the work but also social context for the employees and requires inter alia new knowledge and skills from them. Additionally, individual action problems arise. This contribution proposes the subject-oriented learning theory, in which the employees´ action problems are the starting point of training activities in learning factories. In this contribution, the subject-oriented learning theory is exemplified and respective advantages for vocational training in learning factories are pointed out both theoretically and practically. Thereby, especially the individual action problems of learners and the infrastructure are emphasized as starting point for learning processes and competence development. KW - Subject-oriented learning KW - action problems KW - vocational training KW - learning factories Y1 - 2019 U6 - https://doi.org/10.1016/j.promfg.2019.03.012 SN - 2351-9789 VL - 31 SP - 72 EP - 78 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Grum, Marcus A1 - Körppen, Tim A1 - Korjahn, Nicolas A1 - Gronau, Norbert T1 - Entwicklung eines KI-ERP-Indikators BT - Evaluation der Potenzialerschließung von Künstlicher Intelligenz in Enterprise-Resource-Planning-Systemen N2 - Künstliche Intelligenz (KI) gewinnt in zahlreichen Branchen rasant an Bedeutung und wird zunehmend auch in Enterprise Resource Planning (ERP)-Systemen als Anwendungsbereich erschlossen. Die Idee, dass Maschinen die kognitiven Fähigkeiten des Menschen imitieren können, indem Wissen durch Lernen auf Basis von Beispielen in Daten, Informationen und Erfahrungen generiert wird, ist heute ein Schlüsselelement der digitalen Transformation. Jedoch charakterisiert der Einsatz von KI in ERP-System einen hohen Komplexitätsgrad, da die KI als Querschnittstechnologie zu verstehen ist, welche in unterschiedlichen Unternehmensbereichen zum Einsatz kommen kann. Auch die Anwendungsgrade können sich dabei erheblich voneinander unterscheiden. Um trotz dieser Komplexität den Einsatz der KI in ERP-Systemen erfassen und systembezogen vergleichen zu können, wurde im Rahmen dieser Studie ein Reifegradmodell entwickelt. Dieses bildet die Ausgangsbasis zur Ermittlung der KI-Reife in ERP-Systemen und grenzt dabei die folgenden vier KI- bzw. systembezogenen Ebenen voneinander ab: 1) Technische Möglichkeiten, 2) Datenreife, 3) Funktionsreife und 4) Erklärfähigkeit des Systems. KW - Künstliche Intelligenz KW - Enterprise-Resource-Planning KW - KI-ERP-Indikator Y1 - 2022 UR - https://lswi.de/assets/downloads/publikationen/110/Grum-Entwicklung-eines-KI-ERP-Indikators--.pdf PB - Center for Enterprise Research, Universität Potsdam CY - Potsdam ER - TY - GEN A1 - Grum, Marcus A1 - Gronau, Norbert T1 - Process modeling within augmented reality BT - the bidirectional interplay of two worlds T2 - Business Modeling and Software Design, BMSD 2018 N2 - The collaboration during the modeling process is uncomfortable and characterized by various limitations. Faced with the successful transfer of first process modeling languages to the augmented world, non-transparent processes can be visualized in a more comprehensive way. With the aim to rise comfortability, speed, accuracy and manifoldness of real world process augmentations, a framework for the bidirectional interplay of the common process modeling world and the augmented world has been designed as morphologic box. Its demonstration proves the working of drawn AR integrations. Identified dimensions were derived from (1) a designed knowledge construction axiom, (2) a designed meta-model, (3) designed use cases and (4) designed directional interplay modes. Through a workshop-based survey, the so far best AR modeling configuration is identified, which can serve for benchmarks and implementations. KW - Augmented reality KW - Process modeling KW - Simulation process building KW - Generalized knowledge constructin axiom KW - Meta-model KW - Use cases Morphologic box KW - Industry 4.0 KW - CPS KW - CPPS KW - Internet of things Y1 - 2018 SN - 978-3-319-94214-8 SN - 978-3-319-94213-1 U6 - https://doi.org/10.1007/978-3-319-94214-8_7 SN - 1865-1348 VL - 319 SP - 99 EP - 115 PB - Springer CY - Berlin ER - TY - GEN A1 - Gronau, Norbert A1 - Ullrich, André A1 - Teichmann, Malte T1 - Development of the industrial IoT competences in the areas of organization, process, and interaction based on the learning factory concept T2 - Procedia manufacturing N2 - Lately, first implementation approaches of Internet of Things (IoT) technologies penetrate industrial value-adding processes. Within this, the competence requirements for employees are changing. Employees’ organization, process, and interaction competences are of crucial importance in this new IoT environment, however, in students and vocational training not sufficiently considered yet. On the other hand, conventional learning factories evolve and transform to digital learning factories. Nevertheless, the integration of IoT technology and its usage for training in digital learning factories has been largely neglected thus far. Existing learning factories do not explicitly and properly consider IoT technology, which leads to deficiencies regarding an appropriate development of employees’ Industrial IoT competences. The goal of this contribution is to point out a didactic concept that enables development and training of these new demanded competences by using an IoT laboratory. For this purpose, a design science approach is applied. The result of this contribution is a didactic concept for the development of Industrial IoT competences in an IoT laboratory. KW - Digital Learning Factory KW - Industrial IoT Competences KW - Student Training KW - Vocational Training Y1 - 2017 U6 - https://doi.org/10.1016/j.promfg.2017.04.029 SN - 2351-9789 VL - 9 SP - 254 EP - 261 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Bender, Benedict A1 - Grum, Marcus A1 - Gronau, Norbert A1 - Alfa, Attahiru A1 - Maharaj, B. T. T1 - Design of a worldwide simulation system for distributed cyber-physical production networks T2 - 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) N2 - Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example. KW - production networks KW - geographical distribution KW - task realization strategies KW - Industry 4.0 KW - simulation KW - evaluation Y1 - 2019 SN - 978-1-7281-3401-7 SN - 978-1-7281-3402-4 U6 - https://doi.org/10.1109/ICE.2019.8792609 SN - 2334-315X PB - IEEE CY - New York ER - TY - GEN A1 - Beierle, Christoph A1 - Berndt, Jan Ole A1 - Gronau, Norbert A1 - Timm, Ingo J. T1 - Intentional Forgetting: A Huge Potential for Organizations BT - Interview with Prof. Norbert Gronau, University of Potsdam T2 - Künstliche Intelligenz Y1 - 2019 U6 - https://doi.org/10.1007/s13218-018-00573-y SN - 0933-1875 SN - 1610-1987 VL - 33 IS - 1 SP - 85 EP - 87 PB - Springer CY - Heidelberg ER -