@article{SchuefflerThimHaaseetal.2019, author = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette}, title = {Information processing in work environment 4.0 and the beneficial impact of intentional forgetting on change management}, series = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology}, volume = {64}, journal = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology}, number = {1}, publisher = {Hogrefe}, address = {G{\"o}ttingen}, issn = {0932-4089}, doi = {10.1026/0932-4089/a000307}, pages = {17 -- 29}, year = {2019}, abstract = {Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment (N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.}, language = {en} } @inproceedings{BenderGronauWinter2023, author = {Bender, Benedict and Gronau, Norbert and Winter, Robert}, title = {Minitrack introduction enterprise-level information systems}, series = {Proceedings of the 56th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 56th Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Hawaii International Conference on System Sciences}, address = {Honolulu, HI}, isbn = {978-0-9981331-6-4}, issn = {2572-6862}, pages = {5809 -- 5810}, year = {2023}, abstract = {While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit.}, language = {en} } @article{ThimUllrichEigelshovenetal.2020, author = {Thim, Christof and Ullrich, Andr{\´e} and Eigelshoven, Felix and Gronau, Norbert and Ritter, Ann-Carolin}, title = {Crowdsourcing bei industriellen Innovationen}, series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, volume = {36}, journal = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, number = {6}, publisher = {GITO mbH Verlag}, address = {Berlin}, issn = {2364-9208}, doi = {10.30844/I40M_20-6_S9-13}, pages = {9 -- 13}, year = {2020}, abstract = {Die Innovationst{\"a}tigkeit im industriellen Umfeld verlagert sich durch die Digitalisierung hin zu Produkt-Service-Systemen. Kleine und mittlere Unternehmen haben sich in ihrer Entwicklungst{\"a}tigkeit bisher stark auf die Produktentwicklung bezogen. Der Umstieg auf „smarte" Produkte und die Kopplung an Dienstleistungen erfordert h{\"a}ufig personelle und finanzielle Ressourcen, welche KMU nicht aufbringen k{\"o}nnen. Crowdsourcing stellt eine M{\"o}glichkeit dar, den Innovationsprozess f{\"u}r externe Akteure zu {\"o}ffnen und Kosten- sowie Geschwindigkeitsvorteile zu realisieren. Bei der Integration von Crowdsourcing-Elementen ist jedoch einigen Herausforderungen zu begegnen. Dieser Beitrag zeigt sowohl die Potenziale als auch die Barrieren einer Crowdsourcing-Nutzung im industriellen Umfeld auf.}, language = {de} } @article{ThimUllrichGronau2020, author = {Thim, Christof and Ullrich, Andr{\´e} and Gronau, Norbert}, title = {Process model driven learning scenario implementation}, series = {Procedia manufacturing}, volume = {45}, journal = {Procedia manufacturing}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2351-9789}, doi = {10.1016/j.promfg.2020.04.071}, pages = {522 -- 527}, year = {2020}, abstract = {The implementation of learning scenarios is a diversely challenging, frequently purely manual and effortful undertaking. In this contribution a process based view is used in scenario generation to overcome communication, coordination and technical gaps. A framework is provided to identify, define and integrate technological artefacts and learning content as modular, reusable building blocks along a modeled production process. The specific contribution is twofold: 1) the theoretical framework represents a unique basis for modularization of content and technology in order to enhance reusability, 2) the model based scenario definition is a starting point for automated implementation of learning scenarios in industrial learning environments that has not been created before.}, language = {en} } @article{UllrichTeichmannGronau2021, author = {Ullrich, Andr{\´e} and Teichmann, Malte and Gronau, Norbert}, title = {Fast trainable capabilities in software engineering-skill development in learning factories}, series = {Ji suan ji jiao yu = Computer Education / Qing hua da xue}, journal = {Ji suan ji jiao yu = Computer Education / Qing hua da xue}, number = {12}, publisher = {[Verlag nicht ermittelbar]}, address = {Bei jing shi}, issn = {1672-5913}, doi = {10.16512/j.cnki.jsjjy.2020.12.002}, pages = {2 -- 10}, year = {2021}, abstract = {The increasing demand for software engineers cannot completely be fulfilled by university education and conventional training approaches due to limited capacities. Accordingly, an alternative approach is necessary where potential software engineers are being educated in software engineering skills using new methods. We suggest micro tasks combined with theoretical lessons to overcome existing skill deficits and acquire fast trainable capabilities. This paper addresses the gap between demand and supply of software engineers by introducing an actionoriented and scenario-based didactical approach, which enables non-computer scientists to code. Therein, the learning content is provided in small tasks and embedded in learning factory scenarios. Therefore, different requirements for software engineers from the market side and from an academic viewpoint are analyzed and synthesized into an integrated, yet condensed skills catalogue. This enables the development of training and education units that focus on the most important skills demanded on the market. To achieve this objective, individual learning scenarios are developed. Of course, proper basic skills in coding cannot be learned over night but software programming is also no sorcery.}, language = {en} } @incollection{GronauVladovaThim2008, author = {Gronau, Norbert and Vladova, Gergana and Thim, Christof}, title = {Umgang mit Wissen im interkulturellen Vergleich}, series = {Umgang mit Wissen im interkulturellen Vergleich : Beitr{\"a}ge aus Forschung und Unternehmenspraxis ; Acatech-Workshop, Potsdam, 20. Mai 2008}, volume = {2008}, booktitle = {Umgang mit Wissen im interkulturellen Vergleich : Beitr{\"a}ge aus Forschung und Unternehmenspraxis ; Acatech-Workshop, Potsdam, 20. Mai 2008}, publisher = {Fraunhofer-IRB-Verl.}, address = {Stuttgart}, isbn = {978-3-8167-7822-6}, pages = {11 -- 25}, year = {2008}, abstract = {Die Bedeutung der Ressource Wissen f{\"u}r die Unternehmensentwicklung ist heutzutage unumstritten. Um wettbewerbsf{\"a}hig bleiben zu k{\"o}nnen, m{\"u}ssen Unternehmen die Erzeugung, Teilung und systematische Nutzung von Wissen f{\"o}rdern. Dabei stehen sowohl die individuelle Wissensbasis (und damit jeder Mitarbeiter) als auch die kollektive Wissensbasis (und damit das ganze Unternehmen) im Vordergrund. Der Faktor Kultur gewinnt in diesem Zusammenhang zunehmend an Bedeutung: Er beeinflusst alle drei Ebenen des Wissensmanagements - Mensch, Organisation und Technologie. Neben den Besonderheiten der Organisationskultur und der Kultur unterschiedlicher Mitarbeitergruppen sind in international agierenden Unternehmen auch die spezifischen Merkmale der jeweiligen Landeskultur zu ber{\"u}cksichtigen. Gemeinsam mit dem Lehrstuhl f{\"u}r Wirtschaftsinformatik und Electronic Government der Universit{\"a}t Potsdam hat acatech im Mai 2008 einen Workshop mit Vertretern aus Wirtschaft, Politik und Wissenschaft zum Umgang mit Wissen im interkulturellen Vergleich veranstaltet. Vor diesem Hintergrund entstand der acatech diskutiert-Band "Umgang mit Wissen im interkulturellen Vergleich - Beitr{\"a}ge aus Forschung und Unternehmenspraxis". Darin enthalten sind Beitr{\"a}ge, die u. a. danach fragen, welche wechselseitigen Beziehungen zwischen Technik und Kultur bestehen, inwieweit Experten- und Wissensnetzwerke als interkulturelles Instrument zum Umgang mit Wissen geeignet sind, wie Unternehmen ihre Mitarbeiter auf Auslandseins{\"a}tze und die Begegnung mit fremden Kulturen vorbereiten k{\"o}nnen und welche Rolle Kommunikation als Methode des Wissenstransfers spielt.}, language = {de} } @book{ThimGronauRoechertVoigtetal.2012, author = {Thim, Christof and Gronau, Norbert and R{\"o}chert-Voigt, Tanja and Proske, Niels and Heine, Moreen}, title = {Organisation des Schutzes der kritischen Infrastruktur Wasserversorgung}, publisher = {Gito Verlag GmbH}, address = {Berlin}, isbn = {978-3-942183-78-9}, pages = {16}, year = {2012}, abstract = {Die Erf{\"u}llung sicherheitsrelevanter Aufgaben, gerade im Bereich der Wasserversorgung, erfolgt immer vor dem Hintergrund des Schutzes der Kritischen Infrastruktur selbst und eines effektiven Bev{\"o}lkerungsschutzes. Daher erfordert die Organisation des Schutzes eine {\"u}ber die betriebsbezogene Sichtweise hinausgehende {\"u}berorganisatorische Betrachtung im Gesamtkontext zunehmender Verflechtung und Abh{\"a}ngigkeiten der Organisationen. Die vorliegende Brosch{\"u}re richtet sich daher insbesondere an kleine und mittlere Betreiber Kritischer Infrastrukturen, insbesondere im Bereich der Wasserversorgung. Diese sollen in die Lage versetzt werden, eine anforderungsgerechte, skalierbare und vor allem ressourceneffiziente Schutzkonzepterstellung durchf{\"u}hren zu k{\"o}nnen.}, language = {de} } @inproceedings{GronauWeberHeinze2011, author = {Gronau, Norbert and Weber, Edzard and Heinze, Priscilla}, title = {Cyclic process model transformation}, series = {Proceedings of the 12th European Conference on Knowledge Management}, booktitle = {Proceedings of the 12th European Conference on Knowledge Management}, number = {2}, publisher = {Academic Conferences Ltd.}, address = {Reading}, isbn = {978-1-908272-09-6}, pages = {349 -- 359}, year = {2011}, abstract = {Process analysis usually focuses only on single and selected processes. It is either existent processes that are recorded and analysed or reference processes that are implemented. So far no evident effort has been put into generalising specific process aspects into patterns and comparing those patterns with regard to their efficiency and effectiveness. This article focuses on the combination of dynamic and holistic analytical elements in enterprise architectures. Our goal is to outline an approach to analyse the development of business processes in a cyclical matter and demonstrate this approach based on an existent modelling language. We want to show that organisational learning can derive from the systematic analysis of past and existent processes from which patterns of successful problem solving can be deducted.}, language = {en} } @incollection{ThimGrumSchueffleretal.2021, author = {Thim, Christof and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette and Gronau, Norbert}, title = {A concept for a distributed Interchangeable knowledge base in CPPS}, series = {Towards sustainable customization: cridging smart products and manufacturing systems}, booktitle = {Towards sustainable customization: cridging smart products and manufacturing systems}, editor = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Larsen, Maria Stoettrup Schioenning and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-90699-3}, doi = {10.1007/978-3-030-90700-6_35}, pages = {314 -- 321}, year = {2021}, abstract = {As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can "forget" their present specialization.}, language = {en} } @incollection{GrumThimGronau2021, author = {Grum, Marcus and Thim, Christof and Gronau, Norbert}, title = {Aiming for knowledge-transfer-optimizing intelligent cyber-physical systems}, series = {Towards sustainable customization : cridging smart products and manufacturing systems}, booktitle = {Towards sustainable customization : cridging smart products and manufacturing systems}, editor = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Larsen, Maria Stoettrup Schioenning and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-90699-3}, doi = {10.1007/978-3-030-90700-6_16}, pages = {149 -- 157}, year = {2021}, abstract = {Since more and more production tasks are enabled by Industry 4.0 techniques, the number of knowledge-intensive production tasks increases as trivial tasks can be automated and only non-trivial tasks demand human-machine interactions. With this, challenges regarding the competence of production workers, the complexity of tasks and stickiness of required knowledge occur [1]. Furthermore, workers experience time pressure which can lead to a decrease in output quality. Cyber-Physical Systems (CPS) have the potential to assist workers in knowledge-intensive work grounded on quantitative insights about knowledge transfer activities [2]. By providing contextual and situational awareness as well as complex classification and selection algorithms, CPS are able to ease knowledge transfer in a way that production time and quality is improved significantly. CPS have only been used for direct production and process optimization, knowledge transfers have only been regarded in assistance systems with little contextual awareness. Embedding production and knowledge transfer optimization thus show potential for further improvements. This contribution outlines the requirements and a framework to design these systems. It accounts for the relevant factors.}, language = {en} } @article{VladovaWotschackLareiroetal.2020, author = {Vladova, Gergana and Wotschack, Philip and Lareiro, Patricia de Paiva and Gronau, Norbert and Thim, Christof}, title = {Lernen mit Assistenzsystemen}, series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, volume = {36}, journal = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, number = {3}, publisher = {GITO mbH Verlag}, address = {Berlin}, issn = {2364-9208}, doi = {10.30844/I40M_20-3_S16-20}, pages = {16 -- 20}, year = {2020}, abstract = {Der Beitrag beschreibt die Konzeption und Durchf{\"u}hrung und bietet einen Einblick in die ersten Ergebnisse einer Untersuchung mit experimentellem Design in einer simulierten Prozessumgebung im Forschungs- und Anwendungszentrum Industrie 4.0 in Potsdam. Im Mittelpunkt stehen Anlernprozesse im Bereich der Einfacharbeit (Helfert{\"a}tigkeiten) und ihre Gestaltung durch den Einsatz digitaler Assistenzsysteme. In der Arbeitsforschung finden sich Hinweise darauf, dass mit dem Einsatz dieser Systeme Prozesswissen verloren geht, im Sinne einer guten Kenntnis des gesamten Arbeitsprozesses, in den die einzelnen T{\"a}tigkeiten eingebettet sind. Das kann sich als Problem erweisen, vor allem wenn unvorhersehbare Situationen oder Fehler eintreten. Um die Rolle von Prozesswissen beim Einsatz von digitalen Assistenzsystemen zu untersuchen, wird im Experiment eine echte Fabriksituation simuliert. Die Probanden werden {\"u}ber ein Assistenzsystem Schritt f{\"u}r Schritt in ihre Aufgabent{\"a}tigkeit angelernt, einem Teil der Probanden wird allerdings am Anfang zus{\"a}tzlich Prozesswissen im Rahmen einer kurzen Schulung vermittelt.}, language = {de} } @article{SchuefflerThimHaaseetal.2019, author = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette}, title = {Willentliches Vergessen}, series = {Gruppe. Interaktion. Organisation. Zeitschrift f{\"u}r Angewandte Organisationspsychologie (GIO)}, volume = {50}, journal = {Gruppe. Interaktion. Organisation. Zeitschrift f{\"u}r Angewandte Organisationspsychologie (GIO)}, number = {2}, publisher = {Springer}, address = {Wiesbaden}, issn = {2366-6145}, doi = {10.1007/s11612-019-00466-0}, pages = {197 -- 209}, year = {2019}, abstract = {Dieser Beitrag im Journal Gruppe. Interaktion. Organisation. stellt dar, wie willentliches Vergessen die Anpassung an notwendige Ver{\"a}nderungen f{\"u}r Individuen, Gruppen und Organisationen verbessert und wie willentliches Vergessen bewusst und gezielt gestaltet werden kann. Damit Verhalten in Folge einer notwendigen Ver{\"a}nderung angepasst wird, reicht es nicht aus, dass Menschen wissen was zu tun ist, willens und in der Lage sind ihr Verhalten zu ver{\"a}ndern. Eine Ver{\"a}nderung gelingt nur dann, wenn nur noch das neue Verhalten zur Anwendung kommt und nicht mehr das Alte, wenn das alte Verhalten vergessen wird. Der notwendige Prozess des willentlichen Vergessens ist durch Entfernen von Hinweisreizen, die die Erinnerung des zu Vergessenden und durch Platzierung von Hinweisreizen, die die Aktivierung des Neuen ausl{\"o}sen, gestaltbar. Der vorliegende Beitrag stellt die f{\"o}rderliche Wirkung von Hinweisreizen auf willentliches Vergessen dar, stellt sie im Rahmen des Berichts einer experimentellen Studie unter Beweis und gibt praktische Implikationen, wie f{\"u}r Individuen, Gruppen und Organisationen willentliches Vergessen gestaltet werden kann.}, language = {de} } @incollection{ThimGronauHaaseetal.2023, author = {Thim, Christof and Gronau, Norbert and Haase, Jennifer and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette}, title = {Modeling change in business processes}, series = {Business modeling and software design}, booktitle = {Business modeling and software design}, editor = {Shishkov, Boris}, publisher = {Springer Nature}, address = {Cham}, isbn = {978-3-031-36756-4}, doi = {10.1007/978-3-031-36757-1_1}, pages = {3 -- 17}, year = {2023}, abstract = {Business processes are regularly modified either to capture requirements from the organization's environment or due to internal optimization and restructuring. Implementing the changes into the individual work routines is aided by change management tools. These tools aim at the acceptance of the process by and empowerment of the process executor. They cover a wide range of general factors and seldom accurately address the changes in task execution and sequence. Furthermore, change is only framed as a learning activity, while most obstacles to change arise from the inability to unlearn or forget behavioural patterns one is acquainted with. Therefore, this paper aims to develop and demonstrate a notation to capture changes in business processes and identify elements that are likely to present obstacles during change. It connects existing research from changes in work routines and psychological insights from unlearning and intentional forgetting to the BPM domain. The results contribute to more transparency in business process models regarding knowledge changes. They provide better means to understand the dynamics and barriers of change processes.}, language = {en} } @inproceedings{GrumThimRolingetal.2023, author = {Grum, Marcus and Thim, Christof and Roling, Wiebke and Sch{\"u}ffler, Arnulf and Kluge, Annette and Gronau, Norbert}, title = {AI case-based reasoning for artificial neural networks}, series = {Artificial intelligence and industrial applications}, volume = {771}, booktitle = {Artificial intelligence and industrial applications}, editor = {Masrour, Tawfik and El Hassani, Ibtissam and Barka, Noureddine}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-43523-2}, doi = {10.1007/978-3-031-43524-9_2}, pages = {17 -- 35}, year = {2023}, abstract = {Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level.}, language = {en} } @incollection{TeichmannBusseGonnermannetal.2023, author = {Teichmann, Malte and Busse, Jana and Gonnermann, Jana and Reimann, Daniela and Ritterbusch, Georg David and Langemeyer, Ines and Gronau, Norbert}, title = {Konzeption, Erstellung und Evaluation von VR-R{\"a}umen f{\"u}r die betriebliche Weiterbildung in KMU}, series = {Digitalisierung der Arbeitswelt im Mittelstand 3}, booktitle = {Digitalisierung der Arbeitswelt im Mittelstand 3}, editor = {Nitsch, Verena and Brandl, Christopher and H{\"a}ußling, Roger and Roth, Philip and Gries, Thomas and Schmenk, Bernhard}, publisher = {Springer Vieweg}, address = {Berlin}, isbn = {978-3-662-67023-1}, doi = {10.1007/978-3-662-67024-8_5}, pages = {155 -- 204}, year = {2023}, abstract = {Der Beitrag adressiert die Erstellung von Virtual-Reality gest{\"u}tzten (Lehr- und Lern-) R{\"a}umen f{\"u}r die betriebliche Weiterbildung im Rahmen eines Forschungsprojektes. Der damit verbundene Konzeptions- und Umsetzungsprozess ist mit verschiedenen Herausforderungen verbunden: einerseits ist Virtual-Reality ein vergleichsweise neues Lehr- und Lernmedium, womit wenig praktische Handreichungen zur praktischen Umsetzung existieren. Andererseits existieren theoretisch-konzeptionelle Ans{\"a}tze zur Gestaltung digitaler Lehr- und Lernarrangements, die jedoch 1) oft Gefahr laufen, an den realen Bed{\"u}rfnissen der Praxis „vorbei" zu gehen und 2) zumeist nicht konkret Virtual-Reality bzw. damit verbundene Lehr- und Lernumgebungen adressieren. In dieser Folge sind Best-Practice Beispiele basierend auf erfolgreichen Umsetzungsvorhaben, die nachfolgenden Projekten als „Wegweiser" dienen k{\"o}nnten, {\"a}ußerst rar. Der Beitrag setzt an dieser Stelle an: basierend auf zwei real existierenden betrieblichen Anwendungsf{\"a}llen aus den Bereichen Natursteinbearbeitung sowie Einzel- und Sondermaschinenbau werden Herausforderungen und L{\"o}sungswege des Erstellungsprozesses von Virtual-Reality gest{\"u}tzten (Lehr- und Lern-)R{\"a}umen beschrieben. Ebenfalls werden basierend auf den gemachten Projekterfahrungen Handlungsempfehlungen f{\"u}r die gelingende Konzeption, Umsetzung und Evaluation dieser R{\"a}ume formuliert. Betriebliche Besch{\"a}ftigte aus den Bereichen Aus- und Weiterbildung, Management oder Human Ressources, die in eigenen Projekten im Bereich Virtual Reality aktiv werden wollen, profitieren von den herausgestellten praktischen Handreichungen. Forschende Personen sollen Anregungen f{\"u}r weiterf{\"u}hrende Forschungsvorhaben erhalten.}, language = {de} } @inproceedings{GrumRappGronauetal.2019, author = {Grum, Marcus and Rapp, Simon and Gronau, Norbert and Albers, Albert}, title = {Accelerating knowledge}, series = {Business modeling and software design}, volume = {356}, booktitle = {Business modeling and software design}, editor = {Shishkov, Boris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-24853-6}, doi = {10.1007/978-3-030-24854-3_7}, pages = {95 -- 113}, year = {2019}, abstract = {As knowledge-intensive processes are often carried out in teams and demand for knowledge transfers among various knowledge carriers, any optimization in regard to the acceleration of knowledge transfers obtains a great economic potential. Exemplified with product development projects, knowledge transfers focus on knowledge acquired in former situations and product generations. An adjustment in the manifestation of knowledge transfers in its concrete situation, here called intervention, therefore can directly be connected to the adequate speed optimization of knowledge-intensive process steps. This contribution presents the specification of seven concrete interventions following an intervention template. Further, it describes the design and results of a workshop with experts as a descriptive study. The workshop was used to assess the practical relevance of interventions designed as well as the identification of practical success factors and barriers of their implementation.}, language = {en} } @inproceedings{GrumKlippertAlbersetal.2021, author = {Grum, Marcus and Klippert, Monika and Albers, Albert and Gronau, Norbert and Thim, Christof}, title = {Examining the quality of knowledge transfers}, series = {Proceedings of the Design Society}, volume = {1}, booktitle = {Proceedings of the Design Society}, publisher = {Cambridge University Press}, address = {Cambridge}, issn = {2732-527X}, doi = {10.1017/pds.2021.404}, pages = {1431 -- 1440}, year = {2021}, abstract = {Already successfully used products or designs, past projects or our own experiences can be the basis for the development of new products. As reference products or existing knowledge, it is reused in the development process and across generations of products. Since further, products are developed in cooperation, the development of new product generations is characterized by knowledge-intensive processes in which information and knowledge are exchanged between different kinds of knowledge carriers. The particular knowledge transfer here describes the identification of knowledge, its transmission from the knowledge carrier to the knowledge receiver, and its application by the knowledge receiver, which includes embodied knowledge of physical products. Initial empirical findings of the quantitative effects regarding the speed of knowledge transfers already have been examined. However, the factors influencing the quality of knowledge transfer to increase the efficiency and effectiveness of knowledge transfer in product development have not yet been examined empirically. Therefore, this paper prepares an experimental setting for the empirical investigation of the quality of knowledge transfers.}, language = {en} } @inproceedings{PanzerBenderGronau2021, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Deep reinforcement learning in production planning and control}, series = {Proceedings of the Conference on Production Systems and Logistics}, booktitle = {Proceedings of the Conference on Production Systems and Logistics}, publisher = {publish-Ing.}, address = {Hannover}, issn = {2701-6277}, doi = {10.15488/11238}, pages = {535 -- 545}, year = {2021}, abstract = {Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep rein- forcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensor- and process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations.}, language = {en} } @misc{PanzerBenderGronau2021, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Deep reinforcement learning in production planning and control}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {2701-6277}, doi = {10.25932/publishup-60572}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605722}, pages = {13}, year = {2021}, abstract = {Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep reinforcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensorand process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations.}, language = {en} } @misc{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {1867-5808}, doi = {10.25932/publishup-60564}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605642}, pages = {24}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @article{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {International journal of production research}, journal = {International journal of production research}, publisher = {Taylor \& Francis}, address = {London}, issn = {0020-7543}, doi = {10.1080/00207543.2023.2233641}, pages = {1 -- 22}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @book{Gronau2024, author = {Gronau, Norbert}, title = {Knowledge Modeling and Description Language (KMDL) 3.0}, publisher = {GITO mbH Verlag}, address = {Berlin}, isbn = {978-3-95545-416-6}, pages = {135}, year = {2024}, language = {en} } @article{AdelhelmBraunGronauetal.2014, author = {Adelhelm, Silvia and Braun, Andreas and Gronau, Norbert and L{\"u}rig, Detlef and M{\"u}ller, Elisabeth and Vladova, Gergana and Wagner, Dieter}, title = {Mit Open Innovation zum Erfolg}, series = {Handbuch prozessorientiertes Wissensmanagment}, journal = {Handbuch prozessorientiertes Wissensmanagment}, publisher = {GITO}, address = {Berlin}, isbn = {978-3-95545-026-7}, pages = {211 -- 226}, year = {2014}, language = {de} } @article{UllrichVladovaMarquartetal.2022, author = {Ullrich, Andr{\´e} and Vladova, Gergana and Marquart, Danny and Braun, Andreas and Gronau, Norbert}, title = {An overwiew of benefits and risks in open innovation projects and the influence of intermediary participation, decision-making authority, experience, and position on their perception}, series = {International journal of innovation management : IJIM}, volume = {26}, journal = {International journal of innovation management : IJIM}, number = {02}, publisher = {World Scientific Publ.}, address = {Singapore}, issn = {1363-9196}, doi = {10.1142/S1363919622500128}, pages = {41}, year = {2022}, abstract = {This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.}, language = {en} } @article{UllrichWeberGronau2023, author = {Ullrich, Andr{\´e} and Weber, Edzard and Gronau, Norbert}, title = {Regionale Refabrikationsnetzwerke}, series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, volume = {39}, journal = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, number = {2}, publisher = {GITO mbH Verlag}, address = {Berlin}, issn = {2364-9208}, doi = {10.30844/IM_23-2_11-14}, pages = {11 -- 14}, year = {2023}, abstract = {Die Herstellung von Produkten bindet Energie sowie auch materielle Ressourcen. Viel zu langsam entwickeln sich sowohl das Bewusstsein der Konsumenten sowie der Produzenten als auch gesetzgebende Aktivit{\"a}ten, um zu einem nachhaltigen Umgang mit den zur Verf{\"u}gung stehenden Ressourcen zu gelangen. In diesem Beitrag wird ein lokaler Remanufacturing-Ansatz vorgestellt, der es erm{\"o}glicht, den Ressourcenverbrauch zu reduzieren, lokale Unternehmen zu f{\"o}rdern und effiziente L{\"o}sungen f{\"u}r die regionale Wieder- und Weiterverwendung von G{\"u}tern anzubieten.}, language = {de} } @misc{BenderHabibGronau2020, author = {Bender, Benedict and Habib, Natalie and Gronau, Norbert}, title = {Digitale Plattformen}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {1}, issn = {1867-5808}, doi = {10.25932/publishup-60541}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605419}, pages = {11}, year = {2020}, abstract = {Obwohl digitale Plattformen vornehmlich von Großunternehmen betrieben werden, bieten sie klein- und mittelst{\"a}ndischen Unternehmen (KMU) Potenziale zur Verbreitung innovativer Technologien und f{\"u}r den Ausbau ihres Gesch{\"a}ftsmodells. F{\"u}r die Umsetzung digitaler Plattformen stehen Unternehmen mehrere Strategien zur Verf{\"u}gung. Der Beitrag vergleicht und bewertet grundlegende Strategien am Beispiel eines Maschinenbauunternehmens. Die Ergebnisse dienen als Grundlage f{\"u}r die Entscheidungsfindung von KMU.}, language = {de} } @misc{UllrichWeberGronau2023, author = {Ullrich, Andr{\´e} and Weber, Edzard and Gronau, Norbert}, title = {Regionale Refabrikationsnetzwerke}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {2}, issn = {2364-9208}, doi = {10.25932/publishup-60451}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-604510}, pages = {6}, year = {2023}, abstract = {Die Herstellung von Produkten bindet Energie sowie auch materielle Ressourcen. Viel zu langsam entwickeln sich sowohl das Bewusstsein der Konsumenten sowie der Produzenten als auch gesetzgebende Aktivit{\"a}ten, um zu einem nachhaltigen Umgang mit den zur Verf{\"u}gung stehenden Ressourcen zu gelangen. In diesem Beitrag wird ein lokaler Remanufacturing-Ansatz vorgestellt, der es erm{\"o}glicht, den Ressourcenverbrauch zu reduzieren, lokale Unternehmen zu f{\"o}rdern und effiziente L{\"o}sungen f{\"u}r die regionale Wieder- und Weiterverwendung von G{\"u}tern anzubieten.}, language = {de} } @incollection{GonnermannBrandenburgerVladovaetal.2023, author = {Gonnermann, Jana and Brandenburger, Bonny and Vladova, Gergana and Gronau, Norbert}, title = {To what extent can individualisation in terms of different types of mode improve learning outcomes and learner satisfaction?}, series = {Proceedings of the 56th Annual Hawaii International Conference on System Sciences January 3-6, 2023}, booktitle = {Proceedings of the 56th Annual Hawaii International Conference on System Sciences January 3-6, 2023}, editor = {Bui, Tung X.}, publisher = {Department of IT Management Shidler College of Business University of Hawaii}, address = {Honolulu, HI}, isbn = {978-0-9981331-6-4}, pages = {123 -- 132}, year = {2023}, abstract = {With the latest technological developments and associated new possibilities in teaching, the personalisation of learning is gaining more and more importance. It assumes that individual learning experiences and results could generally be improved when personal learning preferences are considered. To do justice to the complexity of the personalisation possibilities of teaching and learning processes, we illustrate the components of learning and teaching in the digital environment and their interdependencies in an initial model. Furthermore, in a pre-study, we investigate the relationships between the learner's ability to (digital) self-organise, the learner's prior- knowledge learning in different variants of mode and learning outcomes as one part of this model. With this pre-study, we are taking the first step towards a holistic model of teaching and learning in digital environments.}, language = {en} } @misc{PanzerBenderGronau2022, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Neural agent-based production planning and control}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {1867-5808}, doi = {10.25932/publishup-60477}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-604777}, pages = {26}, year = {2022}, abstract = {Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.}, language = {en} } @article{PanzerBenderGronau2022, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Neural agent-based production planning and control}, series = {Journal of Manufacturing Systems}, volume = {65}, journal = {Journal of Manufacturing Systems}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0278-6125}, doi = {10.1016/j.jmsy.2022.10.019}, pages = {743 -- 766}, year = {2022}, abstract = {Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.}, language = {en} } @misc{BenderGronau2022, author = {Bender, Benedict and Gronau, Norbert}, title = {Introduction to the Minitrack on towards the future of enterprise systems}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, editor = {Bui, Tung}, isbn = {978-0-9981331-5-7}, issn = {1867-5808}, doi = {10.25932/publishup-60540}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605406}, pages = {4}, year = {2022}, abstract = {Enterprise systems have long played an important role in businesses of various sizes. With the increasing complexity of today's business relationships, pecialized application systems are being used more and more. Moreover, emerging technologies such as artificial intelligence are becoming accessible for enterprise systems. This raises the question of the future role of enterprise systems. This minitrack covers novel ideas that contribute to and shape the future role of enterprise systems with five contributions.}, language = {en} } @article{BenderHabibGronau2020, author = {Bender, Benedict and Habib, Natalie and Gronau, Norbert}, title = {Digitale Plattformen}, series = {Wirtschaftsinformatik und Management}, volume = {13}, journal = {Wirtschaftsinformatik und Management}, number = {1}, publisher = {Gabler}, address = {Wiesbaden}, issn = {1867-5913}, doi = {10.1365/s35764-020-00292-w}, pages = {68 -- 76}, year = {2020}, abstract = {Obwohl digitale Plattformen vornehmlich von Großunternehmen betrieben werden, bieten sie klein- und mittelst{\"a}ndischen Unternehmen (KMU) Potenziale zur Verbreitung innovativer Technologien und f{\"u}r den Ausbau ihres Gesch{\"a}ftsmodells. F{\"u}r die Umsetzung digitaler Plattformen stehen Unternehmen mehrere Strategien zur Verf{\"u}gung. Der Beitrag vergleicht und bewertet grundlegende Strategien am Beispiel eines Maschinenbauunternehmens. Die Ergebnisse dienen als Grundlage f{\"u}r die Entscheidungsfindung von KMU.}, language = {de} } @inproceedings{RojahnGronau2024, author = {Rojahn, Marcel and Gronau, Norbert}, title = {Openness indicators for the evaluation of digital platforms between the launch and maturity phase}, series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Department of IT Management Shidler College of Business University of Hawaii}, address = {Honolulu, HI}, isbn = {978-0-99813-317-1}, pages = {4516 -- 4525}, year = {2024}, abstract = {In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation.}, language = {en} } @inproceedings{AbendrothBenderGronau2024, author = {Abendroth, Adrian and Bender, Benedict and Gronau, Norbert}, title = {The evolution of original ERP customization}, series = {Proceedings of the 26th International Conference on Enterprise Information Systems}, volume = {1}, booktitle = {Proceedings of the 26th International Conference on Enterprise Information Systems}, publisher = {SCITEPRESS - Science and Technology Publications}, address = {Set{\´u}bal}, isbn = {978-989-758-692-7}, issn = {2184-4992}, doi = {10.5220/0012305500003690}, pages = {17 -- 27}, year = {2024}, abstract = {Enterprise Resource Planning (ERP) system customization is often necessary because companies have unique processes that provide their competitive advantage. Despite new technological advances such as cloud computing or model-driven development, technical ERP customization options are either outdated or ambiguously formulated in the scientific literature. Using a systematic literature review (SLR) that analyzes 137 definitions from 26 papers, the result is an analysis and aggregation of technical customization types by providing clearance and aligning with future organizational needs. The results show a shift from ERP code modification in on-premises systems to interface and integration customization in cloud ERP systems, as well as emerging technological opportunities as a way for customers and key users to perform system customization. The study contributes by providing a clear understanding of given customization types and assisting ERP users and vendors in making customization decisions.}, language = {en} } @inproceedings{KlippertStolpmannGrumetal.2023, author = {Klippert, Monika and Stolpmann, Robert and Grum, Marcus and Thim, Christof and Gronau, Norbert and Albers, Albert}, title = {Knowledge transfer quality improvement}, series = {Procedia CIRP}, volume = {119}, booktitle = {Procedia CIRP}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {10.1016/j.procir.2023.02.171}, pages = {919 -- 925}, year = {2023}, abstract = {Developing a new product generation requires the transfer of knowledge among various knowledge carriers. Several factors influence knowledge transfer, e.g., the complexity of engineering tasks or the competence of employees, which can decrease the efficiency and effectiveness of knowledge transfers in product engineering. Hence, improving those knowledge transfers obtains great potential, especially against the backdrop of experienced employees leaving the company due to retirement, so far, research results show, that the knowledge transfer velocity can be raised by following the Knowledge Transfer Velocity Model and implementing so-called interventions in a product engineering context. In most cases, the implemented interventions have a positive effect on knowledge transfer speed improvement. In addition to that, initial theoretical findings describe factors influencing the quality of knowledge transfers and outline a setting to empirically investigate how the quality can be improved by introducing a general description of knowledge transfer reference situations and principles to measure the quality of knowledge artifacts. To assess the quality of knowledge transfers in a product engineering context, the Knowledge Transfer Quality Model (KTQM) is created, which serves as a basis to develop and implement quality-dependent interventions for different knowledge transfer situations. As a result, this paper introduces the specifications of eight situation-adequate interventions to improve the quality of knowledge transfers in product engineering following an intervention template. Those interventions are intended to be implemented in an industrial setting to measure the quality of knowledge transfers and validate their effect.}, language = {en} } @inproceedings{PanzerGronau2024, author = {Panzer, Marcel and Gronau, Norbert}, title = {Enhancing economic efficiency in modular production systems through deep reinforcement learning}, series = {Procedia CIRP}, volume = {121}, booktitle = {Procedia CIRP}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {10.1016/j.procir.2023.09.229}, pages = {55 -- 60}, year = {2024}, abstract = {In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios.}, language = {en} } @article{VladovaGronau2022, author = {Vladova, Gergana and Gronau, Norbert}, title = {KI-basierte Assistenzsysteme in betrieblichen Lernprozessen}, series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, volume = {38}, journal = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse}, number = {2}, publisher = {GITO mbH Verlag f{\"u}r Industrielle Informationstechnik und Organisation}, address = {Berlin}, issn = {2364-9216}, doi = {10.30844/I40M_22-2_11-14}, pages = {11 -- 14}, year = {2022}, abstract = {Assistenzsysteme finden im Kontext der digitalen Transformation immer mehr Einsatz. Sie k{\"o}nnen Besch{\"a}ftigte in industriellen Produktionsprozessen sowohl in der Anlern- als auch in der aktiven Arbeitsphase unterst{\"u}tzen. Kompetenzen k{\"o}nnen so arbeitsplatz- und prozessnah sowie bedarfsorientiert aufgebaut werden. In diesem Beitrag wird der aktuelle Forschungsstand zu den Einsatzm{\"o}glichkeiten dieser Assistenzsysteme diskutiert und mit Beispielen illustriert. Es werden unter anderem auch Herausforderungen f{\"u}r den Einsatz aufgezeigt. Am Ende des Beitrags werden Potenziale f{\"u}r die zuk{\"u}nftige Nutzung von AS in industriellen Lernprozessen und f{\"u}r die Forschung identifiziert.}, language = {de} }