[{"title":"A Reference Process Model for Usage Data-Driven Product Planning","conference":{"name":"55th Hawaii International Conference on System Sciences"},"date_updated":"2022-02-21T10:40:35Z","author":[{"full_name":"Meyer, Maurice","id":"77201","orcid":"0000-0003-0606-7321","last_name":"Meyer","first_name":"Maurice"},{"last_name":"Wiederkehr","full_name":"Wiederkehr, Ingrid","id":"38169","first_name":"Ingrid"},{"first_name":"Melina","full_name":"Panzner, Melina","id":"72658","last_name":"Panzner"},{"first_name":"Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","id":"43136","full_name":"Koldewey, Christian"},{"full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu","first_name":"Roman"}],"date_created":"2022-01-18T07:53:00Z","year":"2022","page":"6105-6114","citation":{"apa":"Meyer, M., Wiederkehr, I., Panzner, M., Koldewey, C., &#38; Dumitrescu, R. (2022). A Reference Process Model for Usage Data-Driven Product Planning. <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>, 6105–6114.","mla":"Meyer, Maurice, et al. “A Reference Process Model for Usage Data-Driven Product Planning.” <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>, 2022, pp. 6105–14.","bibtex":"@inproceedings{Meyer_Wiederkehr_Panzner_Koldewey_Dumitrescu_2022, title={A Reference Process Model for Usage Data-Driven Product Planning}, booktitle={Proceedings of the 55th Hawaii International Conference on System Sciences}, author={Meyer, Maurice and Wiederkehr, Ingrid and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}, year={2022}, pages={6105–6114} }","short":"M. Meyer, I. Wiederkehr, M. Panzner, C. Koldewey, R. Dumitrescu, in: Proceedings of the 55th Hawaii International Conference on System Sciences, 2022, pp. 6105–6114.","chicago":"Meyer, Maurice, Ingrid Wiederkehr, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “A Reference Process Model for Usage Data-Driven Product Planning.” In <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>, 6105–14, 2022.","ieee":"M. Meyer, I. Wiederkehr, M. Panzner, C. Koldewey, and R. Dumitrescu, “A Reference Process Model for Usage Data-Driven Product Planning,” in <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>, 2022, pp. 6105–6114.","ama":"Meyer M, Wiederkehr I, Panzner M, Koldewey C, Dumitrescu R. A Reference Process Model for Usage Data-Driven Product Planning. In: <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>. ; 2022:6105-6114."},"publication_status":"published","language":[{"iso":"eng"}],"_id":"29380","department":[{"_id":"563"}],"user_id":"77201","abstract":[{"lang":"eng","text":"Cyber-physical systems generate and collect huge amounts of usage data during operation. Analyzing these data may enable manufacturing companies to identify weaknesses and learn about the users of their products. Such insights are valuable in the early phases of product development like product planning, as they facilitate decision-making for product improvement. The analysis and exploitation of usage data in product planning, however, is a new task for manufacturing companies. To reduce mistakes and improve the results, companies should build upon a suitable reference process model. Unfortunately, established models for analyzing data cannot be easily applied for product planning. In this paper, we propose a reference process model for usage data-driven product planning. It builds on three well-established models for analyzing data and addresses the unique characteristics of usage data-driven product planning. Finally, we customize the model for a manufacturing company and demonstrate how it could be implemented in practice."}],"status":"public","publication":"Proceedings of the 55th Hawaii International Conference on System Sciences","type":"conference"},{"date_created":"2022-10-13T07:46:43Z","author":[{"first_name":"Maurice","orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice"},{"first_name":"Ingrid","last_name":"Wiederkehr","id":"38169","full_name":"Wiederkehr, Ingrid"},{"first_name":"Christian","id":"43136","full_name":"Koldewey, Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey"},{"first_name":"Roman","last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman"}],"volume":2,"publisher":"Cambridge University Press (CUP)","date_updated":"2022-10-13T07:52:40Z","doi":"10.1017/pds.2022.77","title":"Planning the Analysis of Use Phase Data in Product Planning","publication_status":"published","publication_identifier":{"issn":["2732-527X"]},"citation":{"chicago":"Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu. “Planning the Analysis of Use Phase Data in Product Planning.” <i>Proceedings of the Design Society</i> 2 (2022): 753–62. <a href=\"https://doi.org/10.1017/pds.2022.77\">https://doi.org/10.1017/pds.2022.77</a>.","ieee":"M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Planning the Analysis of Use Phase Data in Product Planning,” <i>Proceedings of the Design Society</i>, vol. 2, pp. 753–762, 2022, doi: <a href=\"https://doi.org/10.1017/pds.2022.77\">10.1017/pds.2022.77</a>.","ama":"Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. Planning the Analysis of Use Phase Data in Product Planning. <i>Proceedings of the Design Society</i>. 2022;2:753-762. doi:<a href=\"https://doi.org/10.1017/pds.2022.77\">10.1017/pds.2022.77</a>","short":"M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design Society 2 (2022) 753–762.","bibtex":"@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2022, title={Planning the Analysis of Use Phase Data in Product Planning}, volume={2}, DOI={<a href=\"https://doi.org/10.1017/pds.2022.77\">10.1017/pds.2022.77</a>}, journal={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}, year={2022}, pages={753–762} }","mla":"Meyer, Maurice, et al. “Planning the Analysis of Use Phase Data in Product Planning.” <i>Proceedings of the Design Society</i>, vol. 2, Cambridge University Press (CUP), 2022, pp. 753–62, doi:<a href=\"https://doi.org/10.1017/pds.2022.77\">10.1017/pds.2022.77</a>.","apa":"Meyer, M., Wiederkehr, I., Koldewey, C., &#38; Dumitrescu, R. (2022). Planning the Analysis of Use Phase Data in Product Planning. <i>Proceedings of the Design Society</i>, <i>2</i>, 753–762. <a href=\"https://doi.org/10.1017/pds.2022.77\">https://doi.org/10.1017/pds.2022.77</a>"},"intvolume":"         2","page":"753-762","year":"2022","user_id":"77201","department":[{"_id":"563"}],"_id":"33705","language":[{"iso":"eng"}],"type":"journal_article","publication":"Proceedings of the Design Society","status":"public","abstract":[{"lang":"eng","text":"<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>"}]},{"status":"public","abstract":[{"text":"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.","lang":"eng"}],"publication":" AMCIS 2022 Proceedings","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"563"}],"user_id":"77201","_id":"33708","citation":{"chicago":"Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu. “How Can Data Analytics Results Be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning.” In <i> AMCIS 2022 Proceedings</i>. Minneapolis, 2022.","ieee":"M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning,” presented at the AMCIS 2022, Minneapolis, 2022.","ama":"Meyer M, Fichtler T, Koldewey C, Dumitrescu R. How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning. In: <i> AMCIS 2022 Proceedings</i>. ; 2022.","apa":"Meyer, M., Fichtler, T., Koldewey, C., &#38; Dumitrescu, R. (2022). How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning. <i> AMCIS 2022 Proceedings</i>. AMCIS 2022, Minneapolis.","short":"M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, in:  AMCIS 2022 Proceedings, Minneapolis, 2022.","mla":"Meyer, Maurice, et al. “How Can Data Analytics Results Be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning.” <i> AMCIS 2022 Proceedings</i>, 2022.","bibtex":"@inproceedings{Meyer_Fichtler_Koldewey_Dumitrescu_2022, place={Minneapolis}, title={How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning}, booktitle={ AMCIS 2022 Proceedings}, author={Meyer, Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}, year={2022} }"},"place":"Minneapolis","year":"2022","publication_status":"published","conference":{"name":"AMCIS 2022","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","author":[{"first_name":"Maurice","last_name":"Meyer","orcid":"0000-0003-0606-7321","full_name":"Meyer, Maurice","id":"77201"},{"id":"66731","full_name":"Fichtler, Timm","last_name":"Fichtler","first_name":"Timm"},{"first_name":"Christian","full_name":"Koldewey, Christian","id":"43136","last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"}],"date_created":"2022-10-13T07:51:09Z","date_updated":"2022-10-13T07:51:15Z"},{"status":"public","publication":"Procedia CIRP","type":"journal_article","keyword":["General Medicine"],"language":[{"iso":"eng"}],"_id":"33707","department":[{"_id":"563"}],"user_id":"77201","year":"2022","page":"1053-1058","intvolume":"       107","citation":{"apa":"Meyer, M., Panzner, M., Koldewey, C., &#38; Dumitrescu, R. (2022). 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies. <i>Procedia CIRP</i>, <i>107</i>, 1053–1058. <a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">https://doi.org/10.1016/j.procir.2022.05.107</a>","bibtex":"@article{Meyer_Panzner_Koldewey_Dumitrescu_2022, title={17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies}, volume={107}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">10.1016/j.procir.2022.05.107</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Meyer, Maurice and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}, year={2022}, pages={1053–1058} }","mla":"Meyer, Maurice, et al. “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” <i>Procedia CIRP</i>, vol. 107, Elsevier BV, 2022, pp. 1053–58, doi:<a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">10.1016/j.procir.2022.05.107</a>.","short":"M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 107 (2022) 1053–1058.","ama":"Meyer M, Panzner M, Koldewey C, Dumitrescu R. 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies. <i>Procedia CIRP</i>. 2022;107:1053-1058. doi:<a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">10.1016/j.procir.2022.05.107</a>","ieee":"M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies,” <i>Procedia CIRP</i>, vol. 107, pp. 1053–1058, 2022, doi: <a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">10.1016/j.procir.2022.05.107</a>.","chicago":"Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” <i>Procedia CIRP</i> 107 (2022): 1053–58. <a href=\"https://doi.org/10.1016/j.procir.2022.05.107\">https://doi.org/10.1016/j.procir.2022.05.107</a>."},"publication_identifier":{"issn":["2212-8271"]},"publication_status":"published","title":"17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies","doi":"10.1016/j.procir.2022.05.107","date_updated":"2022-10-13T07:53:45Z","publisher":"Elsevier BV","volume":107,"date_created":"2022-10-13T07:48:02Z","author":[{"orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice","first_name":"Maurice"},{"last_name":"Panzner","id":"72658","full_name":"Panzner, Melina","first_name":"Melina"},{"first_name":"Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","id":"43136","full_name":"Koldewey, Christian"},{"first_name":"Roman","last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","id":"16190"}]},{"publication":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","type":"journal_article","abstract":[{"lang":"eng","text":"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."}],"status":"public","_id":"30193","department":[{"_id":"563"}],"user_id":"15782","keyword":["Artificial Intelligence","Industrial and Manufacturing Engineering"],"article_number":"e14","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0890-0604","1469-1760"]},"publication_status":"published","year":"2022","intvolume":"        36","citation":{"apa":"Meyer, M., Fichtler, T., Koldewey, C., &#38; Dumitrescu, R. (2022). Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, <i>36</i>, Article e14. <a href=\"https://doi.org/10.1017/s0890060421000408\">https://doi.org/10.1017/s0890060421000408</a>","bibtex":"@article{Meyer_Fichtler_Koldewey_Dumitrescu_2022, title={Potentials and challenges of analyzing use phase data in product planning of manufacturing companies}, volume={36}, DOI={<a href=\"https://doi.org/10.1017/s0890060421000408\">10.1017/s0890060421000408</a>}, number={e14}, journal={Artificial Intelligence for Engineering Design, Analysis and Manufacturing}, publisher={Cambridge University Press (CUP)}, author={Meyer, Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}, year={2022} }","mla":"Meyer, Maurice, et al. “Potentials and Challenges of Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, vol. 36, e14, Cambridge University Press (CUP), 2022, doi:<a href=\"https://doi.org/10.1017/s0890060421000408\">10.1017/s0890060421000408</a>.","short":"M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, Artificial Intelligence for Engineering Design, Analysis and Manufacturing 36 (2022).","ama":"Meyer M, Fichtler T, Koldewey C, Dumitrescu R. Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>. 2022;36. doi:<a href=\"https://doi.org/10.1017/s0890060421000408\">10.1017/s0890060421000408</a>","ieee":"M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges of analyzing use phase data in product planning of manufacturing companies,” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, vol. 36, Art. no. e14, 2022, doi: <a href=\"https://doi.org/10.1017/s0890060421000408\">10.1017/s0890060421000408</a>.","chicago":"Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu. “Potentials and Challenges of Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i> 36 (2022). <a href=\"https://doi.org/10.1017/s0890060421000408\">https://doi.org/10.1017/s0890060421000408</a>."},"publisher":"Cambridge University Press (CUP)","date_updated":"2022-10-19T12:29:54Z","volume":36,"date_created":"2022-03-02T19:23:18Z","author":[{"orcid":"0000-0003-0606-7321","last_name":"Meyer","full_name":"Meyer, Maurice","id":"77201","first_name":"Maurice"},{"id":"66731","full_name":"Fichtler, Timm","last_name":"Fichtler","first_name":"Timm"},{"full_name":"Koldewey, Christian","id":"43136","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","first_name":"Christian"},{"first_name":"Roman","last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman"}],"title":"Potentials and challenges of analyzing use phase data in product planning of manufacturing companies","doi":"10.1017/s0890060421000408"},{"publication_status":"published","publication_identifier":{"issn":["2212-8271"]},"year":"2022","citation":{"ama":"Panzner M, Meyer M, Enzberg S von, Dumitrescu R. Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks. In: <i>Procedia CIRP</i>. Vol 109. Elsevier BV; 2022:580-585. doi:<a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">10.1016/j.procir.2022.05.298</a>","ieee":"M. Panzner, M. Meyer, S. von Enzberg, and R. Dumitrescu, “Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks,” in <i>Procedia CIRP</i>, 2022, vol. 109, pp. 580–585, doi: <a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">10.1016/j.procir.2022.05.298</a>.","chicago":"Panzner, Melina, Maurice Meyer, Sebastian von Enzberg, and Roman Dumitrescu. “Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks.” In <i>Procedia CIRP</i>, 109:580–85. Elsevier BV, 2022. <a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">https://doi.org/10.1016/j.procir.2022.05.298</a>.","apa":"Panzner, M., Meyer, M., Enzberg, S. von, &#38; Dumitrescu, R. (2022). Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks. <i>Procedia CIRP</i>, <i>109</i>, 580–585. <a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">https://doi.org/10.1016/j.procir.2022.05.298</a>","mla":"Panzner, Melina, et al. “Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks.” <i>Procedia CIRP</i>, vol. 109, Elsevier BV, 2022, pp. 580–85, doi:<a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">10.1016/j.procir.2022.05.298</a>.","short":"M. Panzner, M. Meyer, S. von Enzberg, R. Dumitrescu, in: Procedia CIRP, Elsevier BV, 2022, pp. 580–585.","bibtex":"@inproceedings{Panzner_Meyer_Enzberg_Dumitrescu_2022, title={Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks}, volume={109}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2022.05.298\">10.1016/j.procir.2022.05.298</a>}, booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Panzner, Melina and Meyer, Maurice and Enzberg, Sebastian von and Dumitrescu, Roman}, year={2022}, pages={580–585} }"},"page":"580-585","intvolume":"       109","publisher":"Elsevier BV","date_updated":"2022-10-28T09:35:39Z","author":[{"full_name":"Panzner, Melina","id":"72658","last_name":"Panzner","first_name":"Melina"},{"last_name":"Meyer","orcid":"0000-0003-0606-7321","id":"77201","full_name":"Meyer, Maurice","first_name":"Maurice"},{"last_name":"Enzberg","full_name":"Enzberg, Sebastian von","first_name":"Sebastian von"},{"first_name":"Roman","last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman"}],"date_created":"2022-10-13T07:47:30Z","volume":109,"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","type":"conference","publication":"Procedia CIRP","status":"public","_id":"33706","user_id":"72658","department":[{"_id":"563"}],"keyword":["General Medicine"],"language":[{"iso":"eng"}]},{"publication_status":"published","place":"Paderborn","year":"2021","citation":{"ama":"Dumitrescu R, Anacker H, Grote E-M, et al. Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering. In: Gausemeier J, Bauer W, Dumitrescu R, eds. <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>. Heinz Nixdorf Institut, Universität Paderborn; 2021.","ieee":"R. Dumitrescu <i>et al.</i>, “Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering,” in <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, Berlin, 2021.","chicago":"Dumitrescu, Roman, Harald Anacker, Eva-Maria Grote, Rik Rasor, Julian Tekaat, Maurice Meyer, Jürgen Gausemeier, and Steffen Steglich. “Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering.” In <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, edited by Jürgen Gausemeier, Wilhelm Bauer, and Roman Dumitrescu. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.","mla":"Dumitrescu, Roman, et al. “Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering.” <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, edited by Jürgen Gausemeier et al., Heinz Nixdorf Institut, Universität Paderborn, 2021.","bibtex":"@inproceedings{Dumitrescu_Anacker_Grote_Rasor_Tekaat_Meyer_Gausemeier_Steglich_2021, place={Paderborn}, title={Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering}, booktitle={Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Dumitrescu, Roman and Anacker, Harald and Grote, Eva-Maria and Rasor, Rik and Tekaat, Julian and Meyer, Maurice and Gausemeier, Jürgen and Steglich, Steffen}, editor={Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}, year={2021} }","short":"R. Dumitrescu, H. Anacker, E.-M. Grote, R. Rasor, J. Tekaat, M. Meyer, J. Gausemeier, S. Steglich, in: J. Gausemeier, W. Bauer, R. Dumitrescu (Eds.), Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2021.","apa":"Dumitrescu, R., Anacker, H., Grote, E.-M., Rasor, R., Tekaat, J., Meyer, M., Gausemeier, J., &#38; Steglich, S. (2021). Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering. In J. Gausemeier, W. Bauer, &#38; R. Dumitrescu (Eds.), <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>. Heinz Nixdorf Institut, Universität Paderborn."},"date_updated":"2022-01-06T06:57:29Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","author":[{"full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu","first_name":"Roman"},{"last_name":"Anacker","full_name":"Anacker, Harald","first_name":"Harald"},{"last_name":"Grote","full_name":"Grote, Eva-Maria","first_name":"Eva-Maria"},{"first_name":"Rik","last_name":"Rasor","full_name":"Rasor, Rik"},{"first_name":"Julian","last_name":"Tekaat","full_name":"Tekaat, Julian"},{"orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice","first_name":"Maurice"},{"first_name":"Jürgen","last_name":"Gausemeier","id":"163","full_name":"Gausemeier, Jürgen"},{"first_name":"Steffen","last_name":"Steglich","full_name":"Steglich, Steffen"}],"date_created":"2021-10-25T13:32:30Z","title":"Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering","conference":{"name":"16. Symposium für Vorausschau und Technologieplanung","start_date":"2021-12-02","end_date":"2021-12-03","location":"Berlin"},"publication":"Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung","type":"conference","editor":[{"last_name":"Gausemeier","full_name":"Gausemeier, Jürgen","first_name":"Jürgen"},{"first_name":"Wilhelm","full_name":"Bauer, Wilhelm","last_name":"Bauer"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"status":"public","_id":"26851","department":[{"_id":"563"}],"user_id":"15782","language":[{"iso":"ger"}]},{"date_updated":"2022-01-06T06:57:29Z","date_created":"2021-10-25T14:43:11Z","author":[{"first_name":"Maurice","id":"77201","full_name":"Meyer, Maurice","orcid":"0000-0003-0606-7321","last_name":"Meyer"},{"first_name":"Ingrid","full_name":"Wiederkehr, Ingrid","id":"38169","last_name":"Wiederkehr"},{"full_name":"Koldewey, Christian","id":"43136","last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399","first_name":"Christian"},{"id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","first_name":"Roman"}],"title":"UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW","doi":"10.1017/pds.2021.590","publication_status":"published","publication_identifier":{"issn":["2732-527X"]},"year":"2021","citation":{"ama":"Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. <i>Proceedings of the Design Society</i>. Published online 2021:3289-3298. doi:<a href=\"https://doi.org/10.1017/pds.2021.590\">10.1017/pds.2021.590</a>","ieee":"M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW,” <i>Proceedings of the Design Society</i>, pp. 3289–3298, 2021, doi: <a href=\"https://doi.org/10.1017/pds.2021.590\">10.1017/pds.2021.590</a>.","chicago":"Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu. “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW.” <i>Proceedings of the Design Society</i>, 2021, 3289–98. <a href=\"https://doi.org/10.1017/pds.2021.590\">https://doi.org/10.1017/pds.2021.590</a>.","bibtex":"@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2021, title={UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW}, DOI={<a href=\"https://doi.org/10.1017/pds.2021.590\">10.1017/pds.2021.590</a>}, journal={Proceedings of the Design Society}, author={Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}, year={2021}, pages={3289–3298} }","mla":"Meyer, Maurice, et al. “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW.” <i>Proceedings of the Design Society</i>, 2021, pp. 3289–98, doi:<a href=\"https://doi.org/10.1017/pds.2021.590\">10.1017/pds.2021.590</a>.","short":"M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design Society (2021) 3289–3298.","apa":"Meyer, M., Wiederkehr, I., Koldewey, C., &#38; Dumitrescu, R. (2021). UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. <i>Proceedings of the Design Society</i>, 3289–3298. <a href=\"https://doi.org/10.1017/pds.2021.590\">https://doi.org/10.1017/pds.2021.590</a>"},"page":"3289-3298","_id":"26855","user_id":"43136","department":[{"_id":"563"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Proceedings of the Design Society","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>Cyber-physical systems (CPS) are able the collect huge amounts of data about themselves, their users, and their environment during their usage phase. By feeding these usage data back into product planning, manufacturers can optimize their engineering and decision-making processes. Despite promising potentials, most manufacturers still do not analyze usage data within product planning. Also, research on usage data-driven product planning is scarce. Therefore, this paper aims to identify the main concepts, advantages, success factors and challenges of usage data-driven product planning. To answer the corresponding research questions, a comprehensive systematic literature review is conducted. From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and challenges of usage data-driven product planning are presented. The six main concepts and the three taxonomies allow for a deeper understanding of the topic while highlighting necessary future actions and research needs.</jats:p>","lang":"eng"}],"status":"public"},{"editor":[{"first_name":"Jürgen","last_name":"Gausemeier","full_name":"Gausemeier, Jürgen"},{"last_name":"Bauer","full_name":"Bauer, Wilhelm","first_name":"Wilhelm"},{"full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","first_name":"Roman"}],"status":"public","type":"conference","publication":"Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung","language":[{"iso":"ger"}],"_id":"26857","user_id":"15782","department":[{"_id":"563"}],"place":"Paderborn","year":"2021","citation":{"apa":"Meyer, M., Hemkentokrax, J.-P., Koldewey, C., Dumitrescu, R., Tröster, P. M., Schlegel, M., Kling, C. L., Rapp, S., &#38; Albers, A. (2021). Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis. In J. Gausemeier, W. Bauer, &#38; R. Dumitrescu (Eds.), <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i> (Vol. 400). Heinz Nixdorf Institut, Universität Paderborn.","short":"M. Meyer, J.-P. Hemkentokrax, C. Koldewey, R. Dumitrescu, P.M. Tröster, M. Schlegel, C.L. Kling, S. Rapp, A. Albers, in: J. Gausemeier, W. Bauer, R. Dumitrescu (Eds.), Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2021.","bibtex":"@inproceedings{Meyer_Hemkentokrax_Koldewey_Dumitrescu_Tröster_Schlegel_Kling_Rapp_Albers_2021, place={Paderborn}, title={Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis}, volume={400}, booktitle={Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Meyer, Maurice and Hemkentokrax, Jan-Philipp and Koldewey, Christian and Dumitrescu, Roman and Tröster, Peter M. and Schlegel, Michael and Kling, Christopher L. and Rapp, Simon and Albers, Albert}, editor={Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}, year={2021} }","mla":"Meyer, Maurice, et al. “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis.” <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, edited by Jürgen Gausemeier et al., vol. 400, Heinz Nixdorf Institut, Universität Paderborn, 2021.","ama":"Meyer M, Hemkentokrax J-P, Koldewey C, et al. Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis. In: Gausemeier J, Bauer W, Dumitrescu R, eds. <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>. Vol 400. Heinz Nixdorf Institut, Universität Paderborn; 2021.","chicago":"Meyer, Maurice, Jan-Philipp Hemkentokrax, Christian Koldewey, Roman Dumitrescu, Peter M. Tröster, Michael Schlegel, Christopher L. Kling, Simon Rapp, and Albert Albers. “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis.” In <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, edited by Jürgen Gausemeier, Wilhelm Bauer, and Roman Dumitrescu, Vol. 400. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.","ieee":"M. Meyer <i>et al.</i>, “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis,” in <i>Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung</i>, Berlin, 2021, vol. 400."},"intvolume":"       400","publication_status":"published","title":"Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis","conference":{"start_date":"2021-12-02","name":"16. Symposium für Vorausschau und Technologieplanung","location":"Berlin","end_date":"2021-12-03"},"date_updated":"2022-01-06T06:57:29Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","author":[{"orcid":"0000-0003-0606-7321","last_name":"Meyer","full_name":"Meyer, Maurice","id":"77201","first_name":"Maurice"},{"first_name":"Jan-Philipp","full_name":"Hemkentokrax, Jan-Philipp","id":"76057","last_name":"Hemkentokrax"},{"first_name":"Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","full_name":"Koldewey, Christian","id":"43136"},{"id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","first_name":"Roman"},{"first_name":"Peter M.","last_name":"Tröster","full_name":"Tröster, Peter M."},{"first_name":"Michael","last_name":"Schlegel","full_name":"Schlegel, Michael"},{"first_name":"Christopher L.","last_name":"Kling","full_name":"Kling, Christopher L."},{"last_name":"Rapp","full_name":"Rapp, Simon","first_name":"Simon"},{"full_name":"Albers, Albert","last_name":"Albers","first_name":"Albert"}],"date_created":"2021-10-25T14:50:27Z","volume":400},{"intvolume":"       104","page":"1179-1184","citation":{"apa":"Meyer, M., Panzner, M., Koldewey, C., &#38; Dumitrescu, R. (2021). Towards Identifying Data Analytics Use Cases in Product Planning. <i>Procedia CIRP</i>, <i>104</i>, 1179–1184.","mla":"Meyer, Maurice, et al. “Towards Identifying Data Analytics Use Cases in Product Planning.” <i>Procedia CIRP</i>, vol. 104, 2021, pp. 1179–84.","bibtex":"@article{Meyer_Panzner_Koldewey_Dumitrescu_2021, title={Towards Identifying Data Analytics Use Cases in Product Planning}, volume={104}, journal={Procedia CIRP}, author={Meyer, Maurice and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}, year={2021}, pages={1179–1184} }","short":"M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 104 (2021) 1179–1184.","ieee":"M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “Towards Identifying Data Analytics Use Cases in Product Planning,” <i>Procedia CIRP</i>, vol. 104, pp. 1179–1184, 2021.","chicago":"Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “Towards Identifying Data Analytics Use Cases in Product Planning.” <i>Procedia CIRP</i> 104 (2021): 1179–84.","ama":"Meyer M, Panzner M, Koldewey C, Dumitrescu R. Towards Identifying Data Analytics Use Cases in Product Planning. <i>Procedia CIRP</i>. 2021;104:1179-1184."},"year":"2021","volume":104,"date_created":"2021-10-25T14:56:55Z","author":[{"first_name":"Maurice","orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice"},{"first_name":"Melina","last_name":"Panzner","full_name":"Panzner, Melina"},{"full_name":"Koldewey, Christian","id":"43136","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","first_name":"Christian"},{"id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","first_name":"Roman"}],"date_updated":"2022-01-06T06:57:29Z","title":"Towards Identifying Data Analytics Use Cases in Product Planning","publication":"Procedia CIRP","type":"journal_article","status":"public","department":[{"_id":"563"}],"user_id":"77201","_id":"26858","language":[{"iso":"eng"}]},{"type":"journal_article","publication":"Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)","status":"public","user_id":"77201","department":[{"_id":"563"}],"_id":"19864","language":[{"iso":"eng"}],"article_type":"original","citation":{"chicago":"Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu. “Research and Consulting in Data-Driven Strategic Product Planning.” <i>Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)</i>, 2020.","ieee":"M. Meyer, M. Frank, M. Massmann, and R. Dumitrescu, “Research and Consulting in Data-Driven Strategic Product Planning,” <i>Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)</i>, 2020.","ama":"Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven Strategic Product Planning. <i>Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)</i>. 2020.","apa":"Meyer, M., Frank, M., Massmann, M., &#38; Dumitrescu, R. (2020). Research and Consulting in Data-Driven Strategic Product Planning. <i>Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)</i>.","short":"M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020) (2020).","mla":"Meyer, Maurice, et al. “Research and Consulting in Data-Driven Strategic Product Planning.” <i>Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)</i>, 2020.","bibtex":"@article{Meyer_Frank_Massmann_Dumitrescu_2020, title={Research and Consulting in Data-Driven Strategic Product Planning}, journal={Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)}, author={Meyer, Maurice and Frank, Maximilian and Massmann, Melina and Dumitrescu, Roman}, year={2020} }"},"year":"2020","date_created":"2020-10-02T16:19:50Z","author":[{"orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice","first_name":"Maurice"},{"first_name":"Maximilian","last_name":"Frank","full_name":"Frank, Maximilian"},{"first_name":"Melina","last_name":"Massmann","full_name":"Massmann, Melina"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"date_updated":"2022-01-06T06:54:14Z","title":"Research and Consulting in Data-Driven Strategic Product Planning"},{"language":[{"iso":"eng"}],"article_type":"original","user_id":"77201","department":[{"_id":"563"}],"_id":"19866","status":"public","type":"journal_article","publication":"Journal of Systemics, Cybernetics and Informatics","title":"Research and Consulting in Data-Driven Strategic Product Planning","author":[{"first_name":"Maurice","full_name":"Meyer, Maurice","id":"77201","last_name":"Meyer","orcid":"0000-0003-0606-7321"},{"last_name":"Frank","full_name":"Frank, Maximilian","first_name":"Maximilian"},{"first_name":"Melina","last_name":"Massmann","full_name":"Massmann, Melina"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"date_created":"2020-10-02T16:21:47Z","volume":18,"date_updated":"2022-01-06T06:54:14Z","citation":{"apa":"Meyer, M., Frank, M., Massmann, M., &#38; Dumitrescu, R. (2020). Research and Consulting in Data-Driven Strategic Product Planning. <i>Journal of Systemics, Cybernetics and Informatics</i>, <i>18</i>(2), 55–61.","bibtex":"@article{Meyer_Frank_Massmann_Dumitrescu_2020, title={Research and Consulting in Data-Driven Strategic Product Planning}, volume={18}, number={2}, journal={Journal of Systemics, Cybernetics and Informatics}, author={Meyer, Maurice and Frank, Maximilian and Massmann, Melina and Dumitrescu, Roman}, year={2020}, pages={55–61} }","short":"M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Journal of Systemics, Cybernetics and Informatics 18 (2020) 55–61.","mla":"Meyer, Maurice, et al. “Research and Consulting in Data-Driven Strategic Product Planning.” <i>Journal of Systemics, Cybernetics and Informatics</i>, vol. 18, no. 2, 2020, pp. 55–61.","ieee":"M. Meyer, M. Frank, M. Massmann, and R. 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Framework and Functionality Patterns for Smart Service Innovation. <i>Procedia CIRP (91)</i>, 851–857.","bibtex":"@article{Koldewey_Meyer_Stockbruegger_Dumitrescu_Gausemeier_2020, title={Framework and Functionality Patterns for Smart Service Innovation}, journal={Procedia CIRP (91)}, author={Koldewey, Christian and Meyer, Maurice and Stockbruegger, Patrick and Dumitrescu, Roman and Gausemeier, Jürgen}, year={2020}, pages={851–857} }","mla":"Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart Service Innovation.” <i>Procedia CIRP (91)</i>, 2020, pp. 851–57.","short":"C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, J. Gausemeier, Procedia CIRP (91) (2020) 851–857.","ama":"Koldewey C, Meyer M, Stockbruegger P, Dumitrescu R, Gausemeier J. Framework and Functionality Patterns for Smart Service Innovation. <i>Procedia CIRP (91)</i>. Published online 2020:851-857.","ieee":"C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, and J. Gausemeier, “Framework and Functionality Patterns for Smart Service Innovation,” <i>Procedia CIRP (91)</i>, pp. 851–857, 2020.","chicago":"Koldewey, Christian, Maurice Meyer, Patrick Stockbruegger, Roman Dumitrescu, and Jürgen Gausemeier. “Framework and Functionality Patterns for Smart Service Innovation.” <i>Procedia CIRP (91)</i>, 2020, 851–57."},"title":"Framework and Functionality Patterns for Smart Service Innovation","date_updated":"2022-01-06T06:57:33Z","author":[{"first_name":"Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","id":"43136","full_name":"Koldewey, Christian"},{"first_name":"Maurice","orcid":"0000-0003-0606-7321","last_name":"Meyer","id":"77201","full_name":"Meyer, Maurice"},{"first_name":"Patrick","full_name":"Stockbruegger, Patrick","last_name":"Stockbruegger"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","id":"16190","first_name":"Roman"},{"first_name":"Jürgen","last_name":"Gausemeier","full_name":"Gausemeier, Jürgen"}],"date_created":"2021-11-03T10:17:08Z"},{"year":"2020","citation":{"ama":"Massmann M, Meyer M, Frank M, von Enzberg S, Kühn A, Dumitrescu R. Method for data inventory and classification. <i>Procedia CIRP</i>. 2020;(93):234-239.","ieee":"M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, and R. Dumitrescu, “Method for data inventory and classification,” <i>Procedia CIRP</i>, no. 93, pp. 234–239, 2020.","chicago":"Massmann, Melina, Maurice Meyer, Maximilian Frank, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Method for Data Inventory and Classification.” <i>Procedia CIRP</i>, no. 93 (2020): 234–39.","mla":"Massmann, Melina, et al. “Method for Data Inventory and Classification.” <i>Procedia CIRP</i>, no. 93, 2020, pp. 234–39.","short":"M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, R. 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Gausemeier, Procedia CIRP (2020) 851–857.","bibtex":"@article{Koldewey_Meyer_Stockbrügger_Dumitrescu_Gausemeier_2020, title={Framework and Functionality Patterns for Smart Service Innovation}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2020.02.244\">10.1016/j.procir.2020.02.244</a>}, number={91}, journal={Procedia CIRP}, author={Koldewey, Christian and Meyer, Maurice and Stockbrügger, Patrick and Dumitrescu, Roman and Gausemeier, Jürgen}, year={2020}, pages={851–857} }","mla":"Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart Service Innovation.” <i>Procedia CIRP</i>, no. 91, 2020, pp. 851–57, doi:<a href=\"https://doi.org/10.1016/j.procir.2020.02.244\">10.1016/j.procir.2020.02.244</a>.","apa":"Koldewey, C., Meyer, M., Stockbrügger, P., Dumitrescu, R., &#38; Gausemeier, J. (2020). 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The analysis of product lifecycle data in conjunction with product hypotheses leads to promising potentials in strategic product planning. In this thesis paper, we postulate the need for data-driven product generation and retrofit planning as an interdisciplinary field of research. We define and analyze the key concepts and derive requirements in a structured way. Based on an exhaustive research of existing approaches, we structure open research questions and propose a roadmap in order to shape future research efforts.\r\n"}],"type":"conference","publication":"Proceedings of the CIRP DESIGN","language":[{"iso":"eng"}],"user_id":"21240","department":[{"_id":"676"}],"_id":"27103","citation":{"mla":"Massmann, Melina, et al. “Significance and Challenges of Data-Driven Product Generation and Retrofit Planning.” <i>Proceedings of the CIRP DESIGN</i>, Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP), 2019.","bibtex":"@inproceedings{Massmann_Meyer_Dumitrescu_von Enzberg_Frank_Koldewey_Kühn_Reinhold_2019, title={Significance and Challenges of Data-driven Product Generation and Retrofit Planning}, booktitle={Proceedings of the CIRP DESIGN}, publisher={Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP)}, author={Massmann, Melina and Meyer, Maurice and Dumitrescu, Roman and von Enzberg, Sebastian and Frank, Maximilian and Koldewey, Christian and Kühn, Arno and Reinhold, Jannik}, year={2019} }","short":"M. Massmann, M. Meyer, R. Dumitrescu, S. von Enzberg, M. Frank, C. Koldewey, A. Kühn, J. Reinhold, in: Proceedings of the CIRP DESIGN, Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP), 2019.","apa":"Massmann, M., Meyer, M., Dumitrescu, R., von Enzberg, S., Frank, M., Koldewey, C., Kühn, A., &#38; Reinhold, J. (2019). Significance and Challenges of Data-driven Product Generation and Retrofit Planning. <i>Proceedings of the CIRP DESIGN</i>.","ieee":"M. Massmann <i>et al.</i>, “Significance and Challenges of Data-driven Product Generation and Retrofit Planning,” 2019.","chicago":"Massmann, Melina, Maurice Meyer, Roman Dumitrescu, Sebastian von Enzberg, Maximilian Frank, Christian Koldewey, Arno Kühn, and Jannik Reinhold. “Significance and Challenges of Data-Driven Product Generation and Retrofit Planning.” In <i>Proceedings of the CIRP DESIGN</i>. Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP), 2019.","ama":"Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven Product Generation and Retrofit Planning. In: <i>Proceedings of the CIRP DESIGN</i>. Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP); 2019."},"year":"2019","title":"Significance and Challenges of Data-driven Product Generation and Retrofit Planning","date_created":"2021-11-03T11:07:06Z","author":[{"first_name":"Melina","full_name":"Massmann, Melina","last_name":"Massmann"},{"first_name":"Maurice","orcid":"0000-0003-0606-7321","last_name":"Meyer","full_name":"Meyer, Maurice","id":"77201"},{"full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu","first_name":"Roman"},{"last_name":"von Enzberg","full_name":"von Enzberg, Sebastian","first_name":"Sebastian"},{"first_name":"Maximilian","last_name":"Frank","full_name":"Frank, Maximilian","id":"38255"},{"first_name":"Christian","full_name":"Koldewey, Christian","id":"43136","last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399"},{"full_name":"Kühn, Arno","last_name":"Kühn","first_name":"Arno"},{"first_name":"Jannik","full_name":"Reinhold, Jannik","id":"33669","last_name":"Reinhold"}],"date_updated":"2022-01-06T06:57:34Z","publisher":"Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP)"},{"page":"992-997","citation":{"chicago":"Massmann, Melina, Maurice Meyer, Roman Dumitrescu, Sebastian von Enzberg, Maximilian Frank, Christian Koldewey, Arno Kühn, and Jannik Reinhold. “Significance and Challenges of Data-Driven Product Generation and Retrofit Planning.” <i>Procedia CIRP</i>, 2019, 992–97. <a href=\"https://doi.org/10.1016/j.procir.2019.04.226\">https://doi.org/10.1016/j.procir.2019.04.226</a>.","ieee":"M. Massmann <i>et al.</i>, “Significance and Challenges of Data-driven Product Generation and Retrofit Planning,” <i>Procedia CIRP</i>, pp. 992–997, 2019.","ama":"Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven Product Generation and Retrofit Planning. <i>Procedia CIRP</i>. 2019:992-997. doi:<a href=\"https://doi.org/10.1016/j.procir.2019.04.226\">10.1016/j.procir.2019.04.226</a>","bibtex":"@article{Massmann_Meyer_Dumitrescu_Enzberg_Frank_Koldewey_Kühn_Reinhold_2019, title={Significance and Challenges of Data-driven Product Generation and Retrofit Planning}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2019.04.226\">10.1016/j.procir.2019.04.226</a>}, journal={Procedia CIRP}, author={Massmann, Melina and Meyer, Maurice and Dumitrescu, Roman and Enzberg, Sebastian von and Frank, Maximilian and Koldewey, Christian and Kühn, Arno and Reinhold, Jannik}, year={2019}, pages={992–997} }","short":"M. Massmann, M. Meyer, R. Dumitrescu, S. von Enzberg, M. 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