@article{33705,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The ongoing digitalization of products offers product managers new potentials to plan future product generations based on data from the use phase instead of assumptions. However, product managers often face difficulties in identifying promising opportunities for analyzing use phase data. In this paper, we propose a method for planning the analysis of use phase data in product planning. It leads product managers from the identification of promising investigation needs to the derivation of specific use cases. The application of the method is shown using the example of a manufacturing company.</jats:p>}},
  author       = {{Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{753--762}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Planning the Analysis of Use Phase Data in Product Planning}}},
  doi          = {{10.1017/pds.2022.77}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{33708,
  abstract     = {{The megatrend digitalization turns mechatronic products into continuous collectors and generators of use phase data. By analyzing this data, manufacturers can uncover valuable insights about the products and the users. Especially in product planning, these insights could be used to plan promising future product generations. The systematic exploitation of data analytics results, however, represents a serious challenge, as research on the topic is still scarce. In this paper, we present 13 design principles for exploiting data analytics results in product planning. The results are based on a systematic literature review and a workshop with a research consortium. The evaluation of the design principles is demonstrated with a real case of a manufacturing company. The identified design principles represent a first contribution to a still scarcely explored research field.}},
  author       = {{Meyer, Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{ AMCIS 2022 Proceedings}},
  location     = {{Minneapolis}},
  title        = {{{How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning}}},
  year         = {{2022}},
}

@article{33707,
  author       = {{Meyer, Maurice and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{1053--1058}},
  publisher    = {{Elsevier BV}},
  title        = {{{17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies}}},
  doi          = {{10.1016/j.procir.2022.05.107}},
  volume       = {{107}},
  year         = {{2022}},
}

@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}},
}

@inbook{33728,
  author       = {{Bielak, C. R. and Böhnke, M. and Bobbert, M. and Meschut, G.}},
  booktitle    = {{The Minerals, Metals &amp; Materials Series}},
  isbn         = {{9783031062117}},
  issn         = {{2367-1181}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Development of a Numerical 3D Model for Analyzing Clinched Joints in Versatile Process Chains}}},
  doi          = {{10.1007/978-3-031-06212-4_15}},
  year         = {{2022}},
}

@inbook{33742,
  author       = {{Zierau, Cornelia and Kofer, Martina}},
  booktitle    = {{Interkulturelles Lernen mit Kinder- und Jugendliteratur (in Vorbereitung)}},
  editor       = {{Mikota, Jana and Sudermann, Andy and Heise, Ines}},
  title        = {{{Verhandlungen sexueller und kultureller Fremd- und Selbstbestimmungen in Kristina Aamand’s interkulturellem Adoleszenzroman „Wenn Worte meine Waffe wären“}}},
  year         = {{2022}},
}

@inbook{33745,
  author       = {{Zierau, Cornelia}},
  booktitle    = {{Türkisch-deutsche Studien Jahrbuch 2020: Wertorientierungen}},
  editor       = {{Ozil, Seyda and Hofmann, Michael and Laut, Jens-Peter and Dayioglu-Yücel, Yasemin and Zierau, Cornelia and Uca, Didem }},
  pages        = {{69--77}},
  publisher    = {{Universitätsverlag}},
  title        = {{{Wertorientierung und Werteverhandlungen in Emine Sevgi Özdamars Roman „Das Leben ist eine Karawanserei“}}},
  year         = {{2022}},
}

@book{33799,
  editor       = {{Zierau, Cornelia and Ozil, Seyda and Hofmann, Michael and Laut, Jens-Peter and Dayioglu-Yücel, Yasemin and Uca, Didem}},
  publisher    = {{Universitätsverlag}},
  title        = {{{Türkisch-deutsche Studien Jahrbuch 2020: Wertorientierungen}}},
  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}},
}