TY - CONF AB - Digital Servitization is one of the significant trends affecting the manufacturing industry. Companies try to tackle challenges regarding their differentiation and profitability using digital services. One specific type of digital services are smart services, which are digital services built on data from smart products. Introducing these kinds of offerings into the portfolio of manufacturing companies is not trivial. Moreover, they require conscious action to align all relevant capabilities to realize the respective business goals. However, what capabilities are generally relevant for smart services remains opaque. We conducted a systematic literature review to identify them and extended the results through an interview study. Our analysis results in 78 capabilities clustered among 12 principles and six dimensions. These results provide significant support for the smart service transformation of manufacturing companies and for structuring the research field of smart services. AU - Koldewey, Christian AU - Fichtler, Timm AU - Scholtysik, Michel AU - Biehler, Jan AU - Schreiner, Nick AU - Sommer, Franziska AU - Schacht, Maximilian AU - Kaufmann, Jonas AU - Rabe, Martin AU - Sedlmeier, Joachim AU - Dumitrescu, Roman ID - 48632 KW - Digital Servitization KW - Transformation KW - Capabilities KW - Maturity KW - Smart Services TI - Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice ER - TY - CONF AU - Afroze, Lameya AU - Merkelbach, Silke AU - von Enzberg, Sebastian AU - Dumitrescu, Roman ID - 49354 T2 - ML4CPS 2023 TI - Domain Knowledge Injection Guidance for Predictive Maintenance ER - TY - CONF AU - Scholtysik, Michel AU - Rohde, Malte AU - Koldewey, Christian AU - Dumitrescu, Roman ID - 49363 TI - Circular Product-Service-System Ideation Canvas – A Framework for the Design of circular Product-Service-System Ideas ER - TY - CONF AU - Scholtysik, Michel AU - Rohde, Malte AU - Koldewey, Christian AU - Dumitrescu, Roman ID - 49364 TI - Business strategy taxonomy and solution patterns for the circular economy ER - TY - CONF AU - Schrader, Elena AU - Bernijazov, Ruslan AU - Foullois, Marc AU - Hillebrand, Michael AU - Kaiser, Lydia AU - Dumitrescu, Roman ID - 37553 T2 - 2022 IEEE International Symposium on Systems Engineering (ISSE) TI - Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering ER - TY - CONF AB - The global megatrends of digitization and sustainability lead to new challenges for the design and management of technical products in industrial companies. Product management - as the bridge between market and company - has the task to absorb and combine the manifold requirements and make the right product-related decisions. In the process, product management is confronted with heterogeneous information, rapidly changing portfolio components, as well as increasing product, and organizational complexity. Combining and utilizing data from different sources, e.g., product usage data and social media data leads to promising potentials to improve the quality of product-related decisions. In this paper, we reinforce the need for data-driven product management as an interdisciplinary field of action. The state of data-driven product management in practice was analyzed by conducting workshops with six manufacturing companies and hosting a focus group meeting with experts from different industries. We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research efforts. AU - Grigoryan, Khoren AU - Fichtler, Timm AU - Schreiner, Nick AU - Rabe, Martin AU - Panzner, Melina AU - Kühn, Arno AU - Dumitrescu, Roman AU - Koldewey, Christian ID - 45793 KW - Product Management KW - Data Analytics KW - Data-Driven Design KW - Product-related data KW - Lifecycle Data KW - Tool-support T2 - Procedia CIRP 33 TI - Data-Driven Product Management: A Practitioner-Driven Research Agenda ER - TY - CONF AU - Özcan, Leon AU - Fichtler, Timm AU - Kasten, Benjamin AU - Koldewey, Christian AU - Dumitrescu, Roman ID - 45812 KW - Digital Platform KW - Platform Strategy KW - Strategic Management KW - Platform Life Cycle KW - Interview Study KW - Business Model KW - Business-to-Business KW - Two-sided Market KW - Multi-sided Market TI - Interview Study on Strategy Options for Platform Operation in B2B Markets ER - TY - JOUR AU - Kürpick, Christian AU - Rasor, Anja AU - Scholtysik, Michel AU - Kühn, Arno AU - Koldewey, Christian AU - Dumitrescu, Roman ID - 47420 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - An Integrative View of the Transformations towards Sustainability and Digitalization: The Case for a Dual Transformation VL - 119 ER - TY - JOUR AB - The introduction of Systems Engineering is an approach for dealing with the increasing complexity of products and their associated product development. Several introduction strategies are available in the literature; nevertheless, the introduction of Systems Engineering into practice still poses a great challenge to companies. Many companies have already gained experience in the introduction of Systems Engineering. Therefore, as part of the SE4OWL research project, the need to conduct a study including expert interviews and to collect the experiences of experts was identified. A total of 78 hypotheses were identified from 13 expert interviews concerning the lessons learned. Using exclusion criteria, 52 hypotheses were validated in a subsequent quantitative survey with 112 participants. Of these 52 hypotheses, 40 could be confirmed based on the survey results. Only four hypotheses were rejected, and eight could neither be confirmed nor rejected. Through this research, guidance is provided to companies to leverage best practices for the introduction of their own Systems Engineering and to avoid the poor practices of other companies. AU - Wilke, Daria AU - Grothe, Robin AU - Bretz, Lukas AU - Anacker, Harald AU - Dumitrescu, Roman ID - 47800 IS - 3 JF - Systems KW - Information Systems and Management KW - Computer Networks and Communications KW - Modeling and Simulation KW - Control and Systems Engineering KW - Software SN - 2079-8954 TI - Lessons Learned from the Introduction of Systems Engineering VL - 11 ER - TY - JOUR AB - Abstract In diesem Beitrag wird die soziotechnische Gestaltung einer Intelligenten Personaleinsatzplanung beim Unternehmen Miele & Cie. KG im Rahmen des Leuchtturmprojekts „InTime“ im Kompetenzzentrum Arbeitswelt.Plus beschrieben. Hierzu werden die Durchführung und Auswertung einer Interviewreihe sowie das daraus erarbeitete Soll-Konzept vorgestellt. AU - Gabriel, Stefan AU - Bentler, Dominik AU - Bansmann, Michael AU - Andrew Latos, Benedikt AU - Kühn, Arno AU - Dumitrescu, Roman ID - 47798 IS - 1-2 JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb KW - Management Science and Operations Research KW - Strategy and Management KW - General Engineering SN - 2511-0896 TI - Soziotechnische Gestaltung einer intelligenten Personaleinsatzplanung VL - 118 ER - TY - CHAP AU - Menzefricke, Jörn Steffen AU - Gabriel, Stefan AU - Gundlach, Thomas AU - Hobscheidt, Daniela AU - Kürpick, Christian AU - Schnasse, Felix AU - Scholtysik, Michel AU - Seif, Heiko AU - Koldewey, Christian AU - Dumitrescu, Roman ID - 47797 SN - 2569-2348 T2 - Schwerpunkt Business Model Innovation TI - Soziotechnisches Risikomanagement als Erfolgsfaktor für die Digitale Transformation ER - TY - CONF AU - Bentler, Dominik AU - Gabriel, Stefan AU - Latos, Benedikt A. AU - Dietrich, Oliver AU - Dumitrescu, Roman AU - Maier, Günter W. ID - 47799 T2 - GfA-Frühjahrskongress 2023 TI - Partizipatives Gestaltungsvorgehen bei der Einführung künstlicher Intelligenz in produzierenden Unternehmen ER - TY - JOUR AU - Weller, Julian AU - Roesmann, Daniel AU - Eggert, Sönke AU - von Enzberg, Sebastian AU - Gräßler, Iris AU - Dumitrescu, Roman ID - 47827 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics VL - 119 ER - TY - JOUR AU - Machon, Fabian AU - Gabriel, Stefan AU - Latos, Benedikt AU - Holtkötter, Christoph AU - Lütkehoff, Ben AU - Asmar, Laban AU - Kühn, Arno AU - Dumitrescu, Roman ID - 47822 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - Design of individual simulation games in manufacturing companies for game-based learning VL - 119 ER - TY - JOUR AU - Brock, Jonathan AU - von Enzberg, Sebastian AU - Kühn, Arno AU - Dumitrescu, Roman ID - 47824 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects VL - 119 ER - TY - JOUR AU - Wilke, Daria AU - Schierbaum, Anja AU - Anacker, Harald AU - Dumitrescu, Roman ID - 47826 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - Targeted-oriented selection of engineering methods VL - 119 ER - TY - JOUR AU - Humpert, Lynn AU - Wäschle, Moritz AU - Horstmeyer, Sarah AU - Anacker, Harald AU - Dumitrescu, Roman AU - Albers, Albert ID - 48051 JF - Procedia CIRP KW - General Medicine SN - 2212-8271 TI - Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering VL - 119 ER - TY - CONF AU - Koldewey, Christian AU - Martin, Rabe AU - Dumitrescu, Roman AU - Winter, Johannes ID - 48669 T2 - Proceedings of the 56th Hawaii International Conference on System Sciences TI - Introduction to the Minitrack on Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management ER - TY - BOOK AB - Unter dem Einfluss der Digitalisierung wandeln sich mechatronische Produkte zunehmend in cyber-physische Systeme (CPS). Diese sind in der Lage, umfangreiche Daten während ihres Betriebs zu sammeln und über digitale Netzinfrastrukturen zur Verfügung zu stellen. Gemeinsam mit weiteren Daten aus der Betriebsphase versprechen sie wertvolle Erkenntnisse über das Produkt und dessen Nutzer, welche für die Hersteller der CPS insbesondere für die Planung zukünftiger Produktgenerationenrelevant sind. Die zielgerichtete Nutzung von Betriebsdaten in der strategischen Produktplanung stellt produzierende Unternehmen jedoch noch vor zahlreiche Herausforderungen, z. B. hinsichtlich der Identifizierung Erfolg versprechender Use Cases. Das vorliegende Buch greift diese Herausforderungen auf und stellt ein Instrumentarium vor, das produzierende Unternehmen zur datengestützten Produktplanung befähigt. Neben der Vorstellung praxiserprobter Methoden und Werkzeuge werden Einblicke in vier Pilotprojekte gegeben. Das Instrumentarium entstand im Forschungsprojekt „DizRuPt“, das vom Bundesministerium für Bildung und Forschung (BMBF) gefördert wurde. ED - Dumitrescu, Roman ED - Koldewey, Christian ID - 48666 TI - Datengestützte Produktplanung VL - 408 ER - TY - CONF AU - Tissen, Denis AU - Tschirner, Christian AU - Koldewey, Christian AU - Dumitrescu, Roman ED - Hoch, Walter ED - Wilke, Daria ED - Dreiseitel, Stefan ED - Kaffenberger, Rüdiger ID - 49319 SN - 978-3-910649-00-2 T2 - Tag des Systems Engineering TI - Nachhaltigkeit durch Daten im MBSE: Einblick in die Entwicklung eines Modell-Empfehlungssystems ER -