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 -