@article{BenderLewandowski2022, author = {Bender, Benedict and Lewandowski, Stefanie}, title = {Potenziale plattformbasierter Gesch{\"a}ftsmodelle im Kunststoffspritzguss}, 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 = {6}, publisher = {GITO mbH Verlag}, address = {Berlin}, issn = {2364-9208}, doi = {10.30844/IM_22-6_14-18}, pages = {14 -- 18}, year = {2022}, abstract = {Die Potenziale plattformbasierter Gesch{\"a}ftsmodelle im Kontext von Industrie 4.0 sind bisher nicht vollst{\"a}ndig erschlossen. Ansatzpunkte f{\"u}r Plattformen und {\"o}kosystembasierte Wertsch{\"o}pfung variieren zwischen Industrien. Die Kunststoffindustrie ist dahingehend bisher weitestgehend unber{\"u}cksichtigt. Aufgrund der Industriestruktur, insb. der einheitlichen Wertsch{\"o}pfungsstrukturen eignet sich die Kunststoffindustrie f{\"u}r den Einsatz digitaler Plattformen. Neben Ans{\"a}tzen f{\"u}r Plattformen in der Spritzgussindustrie bietet der Beitrag ein Vorgehensmodell f{\"u}r die Erweiterung etablierte Gesch{\"a}ftsmodelle. Somit kann der Einstieg in plattformbasierte Gesch{\"a}ftsmodelle f{\"u}r KMUs erleichtert werden.}, language = {de} } @phdthesis{Kunkel2023, author = {Kunkel, Stefanie}, title = {Green industry through industry 4.0? Expected and observed effects of digitalisation in industry for environmental sustainability}, doi = {10.25932/publishup-61395}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-613954}, school = {Universit{\"a}t Potsdam}, pages = {vii, 168}, year = {2023}, abstract = {Digitalisation in industry - also called "Industry 4.0" - is seen by numerous actors as an opportunity to reduce the environmental impact of the industrial sector. The scientific assessments of the effects of digitalisation in industry on environmental sustainability, however, are ambivalent. This cumulative dissertation uses three empirical studies to examine the expected and observed effects of digitalisation in industry on environmental sustainability. The aim of this dissertation is to identify opportunities and risks of digitalisation at different system levels and to derive options for action in politics and industry for a more sustainable design of digitalisation in industry. I use an interdisciplinary, socio-technical approach and look at selected countries of the Global South (Study 1) and the example of China (all studies). In the first study (section 2, joint work with Marcel Matthess), I use qualitative content analysis to examine digital and industrial policies from seven different countries in Africa and Asia for expectations regarding the impact of digitalisation on sustainability and compare these with the potentials of digitalisation for sustainability in the respective country contexts. The analysis reveals that the documents express a wide range of vague expectations that relate more to positive indirect impacts of information and communication technology (ICT) use, such as improved energy efficiency and resource management, and less to negative direct impacts of ICT, such as electricity consumption through ICT. In the second study (section 3, joint work with Marcel Matthess, Grischa Beier and Bing Xue), I conduct and analyse interviews with 18 industry representatives of the electronics industry from Europe, Japan and China on digitalisation measures in supply chains using qualitative content analysis. I find that while there are positive expectations regarding the effects of digital technologies on supply chain sustainability, their actual use and observable effects are still limited. Interview partners can only provide few examples from their own companies which show that sustainability goals have already been pursued through digitalisation of the supply chain or where sustainability effects, such as resource savings, have been demonstrably achieved. In the third study (section 4, joint work with Peter Neuh{\"a}usler, Melissa Dachrodt and Marcel Matthess), I conduct an econometric panel data analysis. I examine the relationship between the degree of Industry 4.0, energy consumption and energy intensity in ten manufacturing sectors in China between 2006 and 2019. The results suggest that overall, there is no significant relationship between the degree of Industry 4.0 and energy consumption or energy intensity in manufacturing sectors in China. However, differences can be found in subgroups of sectors. I find a negative correlation of Industry 4.0 and energy intensity in highly digitalised sectors, indicating an efficiency-enhancing effect of Industry 4.0 in these sectors. On the other hand, there is a positive correlation of Industry 4.0 and energy consumption for sectors with low energy consumption, which could be explained by the fact that digitalisation, such as the automation of previously mainly labour-intensive sectors, requires energy and also induces growth effects. In the discussion section (section 6) of this dissertation, I use the classification scheme of the three levels macro, meso and micro, as well as of direct and indirect environmental effects to classify the empirical observations into opportunities and risks, for example, with regard to the probability of rebound effects of digitalisation at the three levels. I link the investigated actor perspectives (policy makers, industry representatives), statistical data and additional literature across the system levels and consider political economy aspects to suggest fields of action for more sustainable (digitalised) industries. The dissertation thus makes two overarching contributions to the academic and societal discourse. First, my three empirical studies expand the limited state of research at the interface between digitalisation in industry and sustainability, especially by considering selected countries in the Global South and the example of China. Secondly, exploring the topic through data and methods from different disciplinary contexts and taking a socio-technical point of view, enables an analysis of (path) dependencies, uncertainties, and interactions in the socio-technical system across different system levels, which have often not been sufficiently considered in previous studies. The dissertation thus aims to create a scientifically and practically relevant knowledge basis for a value-guided, sustainability-oriented design of digitalisation in industry.}, language = {en} } @article{DragičevićUllrichTsuietal.2020, author = {Dragičević, Nikolina and Ullrich, Andr{\´e} and Tsui, Eric and Gronau, Norbert}, title = {A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario}, series = {Knowledge management research \& practice : KMRP}, volume = {18}, journal = {Knowledge management research \& practice : KMRP}, number = {2}, publisher = {Taylor \& Francis}, address = {London [u.a.]}, issn = {1477-8238}, doi = {10.1080/14778238.2019.1633893}, pages = {199 -- 213}, year = {2020}, abstract = {Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.}, language = {en} } @article{BeierUllrichNiehoffetal.2020, author = {Beier, Grischa and Ullrich, Andr{\´e} and Niehoff, Silke and Reißig, Malte and Habich, Matthias}, title = {Industry 4.0}, series = {Journal of cleaner production}, volume = {259}, journal = {Journal of cleaner production}, publisher = {Elsevier Science}, address = {Amsterdam}, issn = {0959-6526}, doi = {10.1016/j.jclepro.2020.120856}, pages = {13}, year = {2020}, abstract = {Industry 4.0 has had a strong influence on the debate on the digitalization of industrial processes, despite being criticized for lacking a proper definition. However, Industry 4.0 might offer a huge chance to align the goals of a sustainable development with the ongoing digital transformation in industrial development. The main contribution of this paper is therefore twofold. We provide a de-facto definition of the concept "Industry 4.0" from a sociotechnical perspective based on its most often cited key features, as well as a thorough review of how far the concept of sustainability is incorporated in it.}, language = {en} } @article{LassGronau2020, author = {Lass, Sander and Gronau, Norbert}, title = {A factory operating system for extending existing factories to Industry 4.0}, series = {Computers in industry : an international, application oriented research journal}, volume = {115}, journal = {Computers in industry : an international, application oriented research journal}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0166-3615}, doi = {10.1016/j.compind.2019.103128}, pages = {8}, year = {2020}, abstract = {Cyber-physical systems (CPS) have shaped the discussion about Industry 4.0 (I4.0) for some time. To ensure the competitiveness of manufacturing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The successful transformation of this theoretical construct into practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.}, language = {en} } @inproceedings{GrumBenderGronauetal.2020, author = {Grum, Marcus and Bender, Benedict and Gronau, Norbert and Alfa, Attahiru S.}, title = {Efficient task realizations in networked production infrastructures}, 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}, doi = {10.15488/9682}, pages = {397 -- 407}, year = {2020}, abstract = {As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.}, language = {en} } @article{BenderLassHabibetal.2020, author = {Bender, Benedict and Lass, Sander and Habib, Natalie and Scheel, Laura}, title = {Plattform-Bereitstellungsstrategien im Maschinen- und Anlagenbau}, series = {HMD - Praxis der Wirtschaftsinformatik}, journal = {HMD - Praxis der Wirtschaftsinformatik}, number = {58}, publisher = {Springer}, address = {Wiesbaden}, issn = {2198-2775}, doi = {10.1365/s40702-020-00648-1}, pages = {645 -- 660}, year = {2020}, abstract = {Digitale Plattformen finden zunehmende Verbreitung in unterschiedlichen Industriezweigen. Immer mehr Unternehmen sind an der Erschließung verbundener Potenziale f{\"u}r ihr Gesch{\"a}ft interessiert. Im Maschinen- und Anlagenbau wird die Vernetzung von Maschinen zunehmend ein Wettbewerbsfaktor f{\"u}r Hersteller. Der Einsatz digitaler Plattformen im Maschinen- und Anlagenbau bietet Herstellern M{\"o}glichkeiten zur gezielten Erweiterung des Gesch{\"a}ftsmodells. F{\"u}r die Bereitstellung digitaler Plattformen k{\"o}nnen Unternehmen auf unterschiedliche Strategien zur{\"u}ckgreifen. Hierbei sollten Unternehmen die f{\"u}r ihre Konstellation geeignete Variante systematisch identifizieren, um die angestrebten Ziele zu erreichen. Die geeignete Strategie ist von einer Vielzahl an Faktoren abh{\"a}ngig. Als Grundlage f{\"u}r die Identifikation der geeigneten Strategie bietet dieser Beitrag eine systematische Untersuchung der m{\"o}glichen Bereitstellungsstrategien f{\"u}r Unternehmen. Neben der theoretischen Systematisierung werden gegenw{\"a}rtig genutzte Strategien am Beispiel des Maschinen- und Anlagenbaus in Deutschland vorgestellt. Zudem werden spezifische Merkmale, welche die Nutzung einer Strategie beeinflussen, als Ansatzpunkt f{\"u}r einen Strategieformulierungsprozess identifiziert. Im Maschinen- und Anlagenbau ist die Bereitstellung einer eigenen Plattform, insbesondere bei Großunternehmen vorherrschend. Die Strategien von KMU unterschieden sich von Großunternehmen.}, language = {de} } @article{ScheelBender2021, author = {Scheel, Laura and Bender, Benedict}, title = {Industrial Internet of Things(IIoT)-Plattformtypen im Maschinen- und Anlagenbau}, series = {HMD Praxis der Wirtschaftsinformatik}, volume = {59}, journal = {HMD Praxis der Wirtschaftsinformatik}, publisher = {Springer}, address = {Wiesbaden}, issn = {1436-3011}, doi = {10.1365/s40702-021-00810-3}, pages = {1131 -- 1148}, year = {2021}, abstract = {Das Angebot digitaler Plattformen ist mittlerweile auch im Maschinen- und Anlagenbau weit verbreitet. Dabei konnte in den letzten Jahren der Trend verzeichnet werden, dass die Herstellerunternehmen von Maschinen und An- lagen nicht mehr ausschließlich physische Produkte ver{\"a}ußern, sondern zus{\"a}tzliche auf das Produkt abgestimmte Dienstleistungen, wie bspw. digitale Services. Dieser Wandel kann einen großen Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells ha- ben und je nach Komplexit{\"a}t der digitalen Plattformen unterschiedliche Ausmaße annehmen, die auch strategische Entscheidungen bestimmen k{\"o}nnen. In diesem Bei- trag wird eine Klassifizierung der digitalen Plattformen im deutschen Maschinen- und Anlagenbau vorgenommen, mithilfe derer unterschiedliche Plattformtypen auf Grundlage ihrer Funktionszusammensetzung identifiziert werden. Demnach k{\"o}nnen bspw. Plattformen, {\"u}ber die lediglich grundlegende Funktionen wie die Verwaltung von Maschinen angeboten werden, von umfangreicheren Plattformen unterschieden werden, die eine h{\"o}here Komplexit{\"a}t aufweisen und somit einen gr{\"o}ßeren Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells haben. Diese Einteilung unterschiedli- cher Plattformtypen kann Unternehmen im Maschinen- und Anlagenbau dabei unter- st{\"u}tzen, strategische Entscheidungen bez{\"u}glich der Entwicklung und des Angebots digitaler Plattformen zu treffen und eine Einordnung ihrer digitalen Plattform im Wettbewerb vorzunehmen.}, language = {de} } @article{VladovaHeutsTeichmann2021, author = {Vladova, Gergana and Heuts, Alexander and Teichmann, Malte}, title = {Dem Mitarbeiter zu Diensten}, series = {HMD : Praxis der Wirtschaftsinformatik}, journal = {HMD : Praxis der Wirtschaftsinformatik}, number = {57}, publisher = {Springer}, address = {Wiesbaden}, issn = {1436-3011}, doi = {doi.org/10.1365/s40702-020-00626-7}, pages = {710 -- 721}, year = {2021}, abstract = {Die Weiterbildung und Qualifizierung der Mitarbeiter sind zentrale Erfolgsfaktoren des digitalen Wandels. Die zentrale Herausforderung besteht darin, diese maßgeschnitten anzubieten sowie notwendige Akzeptanz nicht vorauszusetzen, sondern ebenso als Zielgr{\"o}ße anzusehen. Dies geschieht jedoch nur, wenn die Mitarbeiter als Partner gesehen werden, deren Bed{\"u}rfnisse und Verst{\"a}ndnis nachhaltig ber{\"u}cksichtigt werden. Dieser Beitrag schl{\"a}gt vor diesem Hintergrund einen Ansatz vor, Weiterbildung als Personennahe Dienstleistung zu realisieren. Daf{\"u}r wird zuerst ein skizzenhafter {\"U}berblick {\"u}ber grundlegende Kompetenzanforderungen des digitalen Wandels gegeben. Danach wird die aktuelle Situation betrieblicher Weiterbildung in der digitalen Transformation beleuchtet. Hierzu wurde in einem Zeitraum von sechs Monaten im Rahmen einer quantitativen Untersuchung erhoben, wie Besch{\"a}ftigte die digitale Transformation ihres Unternehmens und daraus resultierende Bedarfe betrieblicher Weiterbildung wahrnehmen. Darauf basierend werden drei aktuelle Paradoxe abgeleitet, die mit einer Durchf{\"u}hrung von Weiterbildung als Personennahe Dienstleistung verhindert werden k{\"o}nnen. Empfehlungen und L{\"o}sungsans{\"a}tze werden hierzu diskutiert und weiterer Forschungsbedarf abgeleitet.}, language = {de} } @phdthesis{Schumacher2022, author = {Schumacher, Jochen}, title = {Entwicklung eines Industrie 4.0 Reifegradindex f{\"u}r produzierende Unternehmen}, doi = {10.25932/publishup-55464}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-554642}, school = {Universit{\"a}t Potsdam}, pages = {VI, 275}, year = {2022}, abstract = {Das Ziel dieser Arbeit ist die Entwicklung eines Industrie 4.0 Reifegradindex f{\"u}r produzierende Unternehmen (KMU und Mittelstand) mit diskreter Produktion. Die Motivation zu dieser Arbeit entstand aus dem Z{\"o}gern vieler Unternehmen - insbesondere KMU und Mittelstand - bei der Transformation in Richtung Industrie 4.0. Im Rahmen einer Marktstudie konnte belegt werden, dass 86 Prozent der befragten produzierenden Unternehmen kein f{\"u}r ihr Unternehmen geeignetes Industrie 4.0 Reifegradmodell gefunden haben, mit dem sie ihren Status Quo bewerten und Maßnahmen f{\"u}r einen h{\"o}heren Grad der Reife ableiten k{\"o}nnten. Die Bewertung bestehender Reifegradmodelle zeigte Defizite hinsichtlich der Industrie 4.0 Abdeckung, der Betrachtung der sozio-technischen Dimensionen Mensch, Technik und Organisation sowie der Betrachtung von Management und Unternehmenskultur. Basierend auf den aktuellen Industrie 4.0 Technologien und Handlungsbereichen wurde ein neues, modular aufgebautes Industrie 4.0 Reifegradmodell entwickelt, das auf einer ganzheitlichen Betrachtung aller sozio-technischen Dimensionen Mensch, Technik und Organisation sowie deren Schnittstellen basiert. Das Modell ermittelt neben dem Overall Industry 4.0 Maturity Index (OI4MI) vier weitere Indizes zur Bewertung der Industrie 4.0 Reife des Unternehmens. Das Modell wurde bei einem Unternehmen validiert und steht nun als Template f{\"u}r darauf aufbauende Forschungsarbeiten zur Verf{\"u}gung.}, language = {de} } @misc{GrumGronau2018, author = {Grum, Marcus and Gronau, Norbert}, title = {Process modeling within augmented reality}, series = {Business Modeling and Software Design, BMSD 2018}, volume = {319}, journal = {Business Modeling and Software Design, BMSD 2018}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-319-94214-8}, issn = {1865-1348}, doi = {10.1007/978-3-319-94214-8_7}, pages = {99 -- 115}, year = {2018}, abstract = {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.}, language = {en} } @phdthesis{Grum2021, author = {Grum, Marcus}, title = {Construction of a concept of neuronal modeling}, year = {2021}, abstract = {The business problem of having inefficient processes, imprecise process analyses, and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating, and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.}, language = {en} } @misc{HesseMatthiesSinzigetal.2019, author = {Hesse, G{\"u}nter and Matthies, Christoph and Sinzig, Werner and Uflacker, Matthias}, title = {Adding Value by Combining Business and Sensor Data}, series = {Database Systems for Advanced Applications}, volume = {11448}, journal = {Database Systems for Advanced Applications}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-18590-9}, issn = {0302-9743}, doi = {10.1007/978-3-030-18590-9_80}, pages = {528 -- 532}, year = {2019}, abstract = {Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data's full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.}, language = {en} } @misc{BenderGrumGronauetal.2019, author = {Bender, Benedict and Grum, Marcus and Gronau, Norbert and Alfa, Attahiru and Maharaj, B. T.}, title = {Design of a worldwide simulation system for distributed cyber-physical production networks}, series = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, journal = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-7281-3401-7}, issn = {2334-315X}, doi = {10.1109/ICE.2019.8792609}, pages = {7}, year = {2019}, abstract = {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.}, language = {en} }