@misc{33709,
  author       = {{Wiecher, Carsten  and Mandel, Constantin  and Günther, Matthias  and Fischbach, Jannik  and Greenyer, Joel  and Greinert, Matthias  and Wolff, Carsten  and Dumitrescu, Roman and Mendez, Daniel  and Albers, Albert}},
  booktitle    = {{arXiv preprint}},
  title        = {{{Model-based Analysis and Specification of Functional Requirements and Tests for Complex Automotive Systems}}},
  year         = {{2022}},
}

@article{33714,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Industry 4.0 promises many potentials in production. Examples are a data-driven optimization of production processes of individual machines, driverless transport systems, and assistance systems. Nevertheless, companies are still hesitant to invest in Industry 4.0 applications. Studies show that one of the main reasons for that is the unclear economic benefit. In this work, we present a systematic approach for the evaluation of Industry 4.0 applications in production. The main goal of the systematic is to create transparency over the evaluation process of an investment in an Industry 4.0 application in production. The evaluation of a concrete technical solution in an existing production system is supported. As a theoretical foundation, a characterization of investments in Industry 4.0 applications is given. From that, a procedure model is derived. It puts the activities to be carried out, the tools to be used and results in a temporal context. The application of the systematic is shown on the basis of an application example.</jats:p>}},
  author       = {{Joppen, Robert and Kühn, Arno and Förster, Magdalena and Dumitrescu, Roman}},
  issn         = {{1868-7865}},
  journal      = {{Journal of the Knowledge Economy}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Evaluation of Industry 4.0 Applications in Production}}},
  doi          = {{10.1007/s13132-022-00959-2}},
  year         = {{2022}},
}

@article{33713,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The development of technical systems requires close cooperation of stakeholders from different disciplines. This collaboration takes place in workshops. Driven by digitalization and by the current pandemic such workshops take place primarily online. Suitable collaboration tools and methods are crucial to success. At the beginning of such workshops, use and damage scenarios are identified. In this paper, we presented a method and tool for identifying and modeling use and damage scenarios, which we evaluated in 14 online workshops with a total of 118 participants over a period of almost 3 years.</jats:p>}},
  author       = {{Japs, Sergej and Schmidt, Sebastian and Kargl, Frank and Kaiser, Lydia and Kharatyan, Aschot and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1599--1608}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Collaborative Modeling of Use Case &amp; Damage Scenarios in Online Workshops Using a 3D Environment}}},
  doi          = {{10.1017/pds.2022.162}},
  volume       = {{2}},
  year         = {{2022}},
}

@article{33715,
  author       = {{Japs, Sergej and Kargl, Frank and Anacker, Harald and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{293--298}},
  publisher    = {{Elsevier BV}},
  title        = {{{Why make it hard? - Usage of aggregated statistical data for risk assessment of damage scenarios in the context of ISO/SAE 21434}}},
  doi          = {{10.1016/j.procir.2022.05.252}},
  volume       = {{109}},
  year         = {{2022}},
}

@inproceedings{33712,
  author       = {{Mager, Thomas and Jürgenhake, Christoph and Dumitrescu, Roman}},
  booktitle    = {{2022 14th German Microwave Conference (GeMiC)}},
  location     = {{Ulm}},
  pages        = {{224--227}},
  publisher    = {{IEEE}},
  title        = {{{Efficient method for determining substrate parameters of additive manufactured spatial circuit carriers}}},
  year         = {{2022}},
}

@inproceedings{33711,
  author       = {{Gollner, Denis and Klausmann, Tobias and Rasor, Rik and Dumitrescu, Roman}},
  booktitle    = {{2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS)}},
  publisher    = {{IEEE}},
  title        = {{{Use Case Driven Digital Twin Generation}}},
  doi          = {{10.1109/icps51978.2022.9816907}},
  year         = {{2022}},
}

@article{33718,
  author       = {{Gabriel, Stefan and Bentler, Dominik and Grote, Eva-Maria and Junker, Caroline and Wendischhoff, David Meyer zu and Bansmann, Michael and Latos, Benedikt and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{431--436}},
  publisher    = {{Elsevier BV}},
  title        = {{{Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems}}},
  doi          = {{10.1016/j.procir.2022.05.274}},
  volume       = {{109}},
  year         = {{2022}},
}

@article{33716,
  author       = {{Förster, Magdalena and Kürpick, Christian and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{322--327}},
  publisher    = {{Elsevier BV}},
  title        = {{{Cross-industry methods for strategic planning of the digital transformation of small and medium sized enterprises}}},
  doi          = {{10.1016/j.procir.2022.05.257}},
  volume       = {{109}},
  year         = {{2022}},
}

@article{33717,
  author       = {{Kharatyan, Aschot and Günther, Matthias and Anacker, Harald and Japs, Sergej and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{586--591}},
  publisher    = {{Elsevier BV}},
  title        = {{{Security- and Safety-Driven Functional Architecture Development Exemplified by Automotive Systems Engineering}}},
  doi          = {{10.1016/j.procir.2022.05.299}},
  volume       = {{109}},
  year         = {{2022}},
}

@article{33719,
  author       = {{Humpert, Lynn and Röhm, Benjamin and Anacker, Harald and Dumitrescu, Roman and Anderl, Reiner}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{215--220}},
  publisher    = {{Elsevier BV}},
  title        = {{{Method for direct end customer integration into the agile product development}}},
  doi          = {{10.1016/j.procir.2022.05.239}},
  volume       = {{109}},
  year         = {{2022}},
}

@article{33810,
  author       = {{Koldewey, Christian and Hobscheidt, Daniela and Pierenkemper, Christoph and Kühn, Arno and Dumitrescu, Roman}},
  journal      = {{Sci}},
  number       = {{4}},
  publisher    = {{MDPI}},
  title        = {{{Increasing Firm Performance through Industry 4.0—A Method to Define and Reach Meaningful Goals}}},
  doi          = {{https://doi.org/10.3390/sci4040039}},
  volume       = {{39}},
  year         = {{2022}},
}

@article{33720,
  author       = {{Göllner, Denis and Rasor, Rik and Anacker, Harald and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{1089--1094}},
  publisher    = {{Elsevier BV}},
  title        = {{{Collaborative Modeling of Interoperable Digital Twins in a SoS Context}}},
  doi          = {{10.1016/j.procir.2022.05.113}},
  volume       = {{107}},
  year         = {{2022}},
}

@article{30193,
  abstract     = {{The successful planning of future product generations requires reliable insights into the actual products’ problems and potentials for improvement. A valuable source for these insights is the product use phase. In practice, product planners are often forced to work with assumptions and speculations as insights from the use phase are insufficiently identified and documented. A new opportunity to address this problem arises from the ongoing digitalization that enables products to generate and collect data during their utilization. Analyzing these data could enable their manufacturers to generate and exploit insights concerning product performance and user behavior, revealing problems and potentials for improvement. However, research on analyzing use phase data in product planning of manufacturing companies is scarce. Therefore, we conducted an exploratory interview study with decision-makers of eight manufacturing companies. The result of this paper is a detailed description of the potentials and challenges that the interviewees associated with analyzing use phase data in product planning. The potentials explain the intended purpose and generic application examples. The challenges concern the products, the data, the customers, the implementation, and the employees. By gathering the potentials and challenges through expert interviews, our study structures the topic from the perspective of the potential users and shows the needs for future research.}},
  author       = {{Meyer, Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{0890-0604}},
  journal      = {{Artificial Intelligence for Engineering Design, Analysis and Manufacturing}},
  keywords     = {{Artificial Intelligence, Industrial and Manufacturing Engineering}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Potentials and challenges of analyzing use phase data in product planning of manufacturing companies}}},
  doi          = {{10.1017/s0890060421000408}},
  volume       = {{36}},
  year         = {{2022}},
}

@article{33710,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Um global erfolgreich zu bleiben, wird es bald nicht mehr ausreichen, Kriterien wie ein gutes Produktdesign zu erfüllen. Stattdessen muss der Kundennutzen kontinuierlich über den Produktlebenszyklus hinaus gesteigert werden. Tech-Konzerne verzeichnen bereits Erfolge und verkörpern den Wandel schon heute. Vor diesem Hintergrund ist ein neues Leitbild in der Entwicklung und dem Betrieb von zukünftigen, technischen Systemen erforderlich. EngOps soll diesen Bedarf decken und steht für die agile Kollaboration zwischen Engineering und Operations. Alle Teile des Unternehmens sollen ständig miteinander kooperieren, um so beispielsweise wandelbare Produkte auch nach dem Verkauf entwickeln zu können.</jats:p>}},
  author       = {{Anacker, Harald and Dumitrescu, Roman and Michels, Nico and Rasor, Rik}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{Management Science and Operations Research, Strategy and Management, General Engineering}},
  number       = {{6}},
  pages        = {{405--409}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{EngOps – Ein Leitbild für das agile Zusammenwirken von Engineering und Operations}}},
  doi          = {{10.1515/zwf-2022-1069}},
  volume       = {{117}},
  year         = {{2022}},
}

@article{33956,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Smart Services eröffnen vielfältige Geschäftsmöglichkeiten für produzierende Unternehmen und erfordern zugleich einschneidende Anpassungen ihrer häufig historisch gewachsenen Wertschöpfung. Dieser Beitrag zeigt eine Web-Applikation, die es produzierenden Unternehmen erlaubt, die erforderliche Smart-Service-Transformation zu planen. Dafür werden umfassendes Lösungswissen bereitgestellt und eine individuelle Gestaltungsempfehlungen für die zukünftige Wertschöpfung als Smart-Service-Anbieter gegeben.</jats:p>}},
  author       = {{Reinhold, Jannik and Siewert, Michael and Scholtysik, Michel and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{Management Science and Operations Research, Strategy and Management, General Engineering}},
  number       = {{5}},
  pages        = {{312--316}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Software-gestützte Planung der Smart-Service-Transformation}}},
  doi          = {{10.1515/zwf-2022-1048}},
  volume       = {{117}},
  year         = {{2022}},
}

@inproceedings{33706,
  author       = {{Panzner, Melina and Meyer, Maurice and Enzberg, Sebastian von and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  keywords     = {{General Medicine}},
  pages        = {{580--585}},
  publisher    = {{Elsevier BV}},
  title        = {{{Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks}}},
  doi          = {{10.1016/j.procir.2022.05.298}},
  volume       = {{109}},
  year         = {{2022}},
}

@article{33955,
  author       = {{Reinhold, Jannik and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{413--418}},
  publisher    = {{Elsevier BV}},
  title        = {{{Value Creation Framework and Roles for Smart Services}}},
  doi          = {{10.1016/j.procir.2022.05.271}},
  volume       = {{109}},
  year         = {{2022}},
}

@inproceedings{33991,
  abstract     = {{In the course of digitalization, digital platforms are unleashing their full disruptive potential and are already dominating the first industries (e.g., hotel industry). As a result of this success, more and more companies want to build their own platforms and participate in the success. However, building and operating a digital platform involves multiple challenges and most of such ambitions fail. Since most digital platforms fail, strategic leadership of digital platforms must consider both success factors and reasons for platform failure. For this purpose, we conducted a systematic literature analysis and identified 24 success as well as failure factors in 9 dimensions. From a scientific perspective, the article provides a structured analysis of success and failure factors of digital platforms, which previously did not exist in literature. Practitioners can use the resulting knowledge base to successfully manage platform activities and avoid pitfalls.}},
  author       = {{Özcan, Leon and Koldewey, Christian and Duparc, Estelle and van der Valk, Hendrik and Otto, Boris and Dumitrescu, Roman}},
  keywords     = {{Digital Platform, Multi-sided Market, Two-sided Market, Success Factor, Failure Factor}},
  location     = {{Minneapolis}},
  title        = {{{Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors}}},
  year         = {{2022}},
}

@inbook{49350,
  author       = {{Brock, Jonathan and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Praxishandbuch Robotic Process Automation (RPA)}},
  isbn         = {{9783658383787}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Nutzung von Process Mining in RPA-Projekten}}},
  doi          = {{10.1007/978-3-658-38379-4_5}},
  year         = {{2022}},
}

@inproceedings{33983,
  author       = {{Scholtysik, Michel and Rohde, Malte and Koldewey, Christian and Dumitrescu, Roman}},
  title        = {{{Adapting the product design to the circular economy using R-principles}}},
  year         = {{2022}},
}