--- _id: '29380' 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. author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Ingrid full_name: Wiederkehr, Ingrid id: '38169' last_name: Wiederkehr - first_name: Melina full_name: Panzner, Melina id: '72658' last_name: Panzner - 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 citation: ama: 'Meyer M, Wiederkehr I, Panzner M, Koldewey C, Dumitrescu R. A Reference Process Model for Usage Data-Driven Product Planning. In: Proceedings of the 55th Hawaii International Conference on System Sciences. ; 2022:6105-6114.' apa: Meyer, M., Wiederkehr, I., Panzner, M., Koldewey, C., & Dumitrescu, R. (2022). A Reference Process Model for Usage Data-Driven Product Planning. Proceedings of the 55th Hawaii International Conference on System Sciences, 6105–6114. 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} }' chicago: Meyer, Maurice, Ingrid Wiederkehr, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “A Reference Process Model for Usage Data-Driven Product Planning.” In Proceedings of the 55th Hawaii International Conference on System Sciences, 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 Proceedings of the 55th Hawaii International Conference on System Sciences, 2022, pp. 6105–6114. mla: Meyer, Maurice, et al. “A Reference Process Model for Usage Data-Driven Product Planning.” Proceedings of the 55th Hawaii International Conference on System Sciences, 2022, pp. 6105–14. 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.' conference: name: 55th Hawaii International Conference on System Sciences date_created: 2022-01-18T07:53:00Z date_updated: 2022-02-21T10:40:35Z department: - _id: '563' language: - iso: eng page: 6105-6114 publication: Proceedings of the 55th Hawaii International Conference on System Sciences publication_status: published status: public title: A Reference Process Model for Usage Data-Driven Product Planning type: conference user_id: '77201' year: '2022' ... --- _id: '33705' abstract: - lang: eng text: AbstractThe 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. author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Ingrid full_name: Wiederkehr, Ingrid id: '38169' last_name: Wiederkehr - 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 citation: ama: Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. Planning the Analysis of Use Phase Data in Product Planning. Proceedings of the Design Society. 2022;2:753-762. doi:10.1017/pds.2022.77 apa: Meyer, M., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2022). Planning the Analysis of Use Phase Data in Product Planning. Proceedings of the Design Society, 2, 753–762. https://doi.org/10.1017/pds.2022.77 bibtex: '@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2022, title={Planning the Analysis of Use Phase Data in Product Planning}, volume={2}, DOI={10.1017/pds.2022.77}, 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} }' chicago: 'Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu. “Planning the Analysis of Use Phase Data in Product Planning.” Proceedings of the Design Society 2 (2022): 753–62. https://doi.org/10.1017/pds.2022.77.' ieee: 'M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Planning the Analysis of Use Phase Data in Product Planning,” Proceedings of the Design Society, vol. 2, pp. 753–762, 2022, doi: 10.1017/pds.2022.77.' mla: Meyer, Maurice, et al. “Planning the Analysis of Use Phase Data in Product Planning.” Proceedings of the Design Society, vol. 2, Cambridge University Press (CUP), 2022, pp. 753–62, doi:10.1017/pds.2022.77. short: M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design Society 2 (2022) 753–762. date_created: 2022-10-13T07:46:43Z date_updated: 2022-10-13T07:52:40Z department: - _id: '563' doi: 10.1017/pds.2022.77 intvolume: ' 2' language: - iso: eng page: 753-762 publication: Proceedings of the Design Society publication_identifier: issn: - 2732-527X publication_status: published publisher: Cambridge University Press (CUP) status: public title: Planning the Analysis of Use Phase Data in Product Planning type: journal_article user_id: '77201' volume: 2 year: '2022' ... --- _id: '33708' abstract: - lang: eng 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. author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Timm full_name: Fichtler, Timm id: '66731' last_name: Fichtler - 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 citation: 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: AMCIS 2022 Proceedings. ; 2022.' apa: Meyer, M., Fichtler, T., Koldewey, C., & 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. AMCIS 2022 Proceedings. AMCIS 2022, Minneapolis. 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} }' 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 AMCIS 2022 Proceedings. 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. 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.” AMCIS 2022 Proceedings, 2022. short: 'M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, in: AMCIS 2022 Proceedings, Minneapolis, 2022.' conference: location: Minneapolis name: AMCIS 2022 date_created: 2022-10-13T07:51:09Z date_updated: 2022-10-13T07:51:15Z department: - _id: '563' language: - iso: eng place: Minneapolis publication: ' AMCIS 2022 Proceedings' publication_status: published status: public title: How can Data Analytics Results be Exploited in the Early Phase of Product Development? 13 Design Principles for Data-Driven Product Planning type: conference user_id: '77201' year: '2022' ... --- _id: '33707' author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Melina full_name: Panzner, Melina id: '72658' last_name: Panzner - 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 citation: ama: Meyer M, Panzner M, Koldewey C, Dumitrescu R. 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies. Procedia CIRP. 2022;107:1053-1058. doi:10.1016/j.procir.2022.05.107 apa: Meyer, M., Panzner, M., Koldewey, C., & Dumitrescu, R. (2022). 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies. Procedia CIRP, 107, 1053–1058. https://doi.org/10.1016/j.procir.2022.05.107 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={10.1016/j.procir.2022.05.107}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Meyer, Maurice and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}, year={2022}, pages={1053–1058} }' chicago: 'Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” Procedia CIRP 107 (2022): 1053–58. https://doi.org/10.1016/j.procir.2022.05.107.' ieee: 'M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies,” Procedia CIRP, vol. 107, pp. 1053–1058, 2022, doi: 10.1016/j.procir.2022.05.107.' mla: Meyer, Maurice, et al. “17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” Procedia CIRP, vol. 107, Elsevier BV, 2022, pp. 1053–58, doi:10.1016/j.procir.2022.05.107. short: M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 107 (2022) 1053–1058. date_created: 2022-10-13T07:48:02Z date_updated: 2022-10-13T07:53:45Z department: - _id: '563' doi: 10.1016/j.procir.2022.05.107 intvolume: ' 107' keyword: - General Medicine language: - iso: eng page: 1053-1058 publication: Procedia CIRP publication_identifier: issn: - 2212-8271 publication_status: published publisher: Elsevier BV status: public title: 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing Companies type: journal_article user_id: '77201' volume: 107 year: '2022' ... --- _id: '30193' 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. article_number: e14 author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Timm full_name: Fichtler, Timm id: '66731' last_name: Fichtler - 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 citation: ama: Meyer M, Fichtler T, Koldewey C, Dumitrescu R. Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 2022;36. doi:10.1017/s0890060421000408 apa: Meyer, M., Fichtler, T., Koldewey, C., & Dumitrescu, R. (2022). Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 36, Article e14. https://doi.org/10.1017/s0890060421000408 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={10.1017/s0890060421000408}, 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} }' chicago: Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu. “Potentials and Challenges of Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” Artificial Intelligence for Engineering Design, Analysis and Manufacturing 36 (2022). https://doi.org/10.1017/s0890060421000408. ieee: 'M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges of analyzing use phase data in product planning of manufacturing companies,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36, Art. no. e14, 2022, doi: 10.1017/s0890060421000408.' mla: Meyer, Maurice, et al. “Potentials and Challenges of Analyzing Use Phase Data in Product Planning of Manufacturing Companies.” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36, e14, Cambridge University Press (CUP), 2022, doi:10.1017/s0890060421000408. short: M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, Artificial Intelligence for Engineering Design, Analysis and Manufacturing 36 (2022). date_created: 2022-03-02T19:23:18Z date_updated: 2022-10-19T12:29:54Z department: - _id: '563' doi: 10.1017/s0890060421000408 intvolume: ' 36' keyword: - Artificial Intelligence - Industrial and Manufacturing Engineering language: - iso: eng publication: Artificial Intelligence for Engineering Design, Analysis and Manufacturing publication_identifier: issn: - 0890-0604 - 1469-1760 publication_status: published publisher: Cambridge University Press (CUP) status: public title: Potentials and challenges of analyzing use phase data in product planning of manufacturing companies type: journal_article user_id: '15782' volume: 36 year: '2022' ... --- _id: '33706' author: - first_name: Melina full_name: Panzner, Melina id: '72658' last_name: Panzner - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Sebastian von full_name: Enzberg, Sebastian von last_name: Enzberg - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu 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: Procedia CIRP. Vol 109. Elsevier BV; 2022:580-585. doi:10.1016/j.procir.2022.05.298' apa: Panzner, M., Meyer, M., Enzberg, S. von, & Dumitrescu, R. (2022). Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks. Procedia CIRP, 109, 580–585. https://doi.org/10.1016/j.procir.2022.05.298 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={10.1016/j.procir.2022.05.298}, booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Panzner, Melina and Meyer, Maurice and Enzberg, Sebastian von and Dumitrescu, Roman}, year={2022}, pages={580–585} }' 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 Procedia CIRP, 109:580–85. Elsevier BV, 2022. https://doi.org/10.1016/j.procir.2022.05.298. 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 Procedia CIRP, 2022, vol. 109, pp. 580–585, doi: 10.1016/j.procir.2022.05.298.' mla: Panzner, Melina, et al. “Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks.” Procedia CIRP, vol. 109, Elsevier BV, 2022, pp. 580–85, doi:10.1016/j.procir.2022.05.298. short: 'M. Panzner, M. Meyer, S. von Enzberg, R. Dumitrescu, in: Procedia CIRP, Elsevier BV, 2022, pp. 580–585.' date_created: 2022-10-13T07:47:30Z date_updated: 2022-10-28T09:35:39Z department: - _id: '563' doi: 10.1016/j.procir.2022.05.298 intvolume: ' 109' keyword: - General Medicine language: - iso: eng page: 580-585 publication: Procedia CIRP publication_identifier: issn: - 2212-8271 publication_status: published publisher: Elsevier BV status: public title: Business-to-Analytics Canvas - Translation of Product Planning-Related Business Use Cases into Concrete Data Analytics Tasks type: conference user_id: '72658' volume: 109 year: '2022' ... --- _id: '26851' author: - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu - first_name: Harald full_name: Anacker, Harald last_name: Anacker - first_name: Eva-Maria full_name: Grote, Eva-Maria last_name: Grote - first_name: Rik full_name: Rasor, Rik last_name: Rasor - first_name: Julian full_name: Tekaat, Julian last_name: Tekaat - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Jürgen full_name: Gausemeier, Jürgen id: '163' last_name: Gausemeier - first_name: Steffen full_name: Steglich, Steffen last_name: Steglich 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. Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung. Heinz Nixdorf Institut, Universität Paderborn; 2021.' apa: Dumitrescu, R., Anacker, H., Grote, E.-M., Rasor, R., Tekaat, J., Meyer, M., Gausemeier, J., & Steglich, S. (2021). Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering. In J. Gausemeier, W. Bauer, & R. Dumitrescu (Eds.), Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung. Heinz Nixdorf Institut, Universität Paderborn. 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} }' 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 Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier, Wilhelm Bauer, and Roman Dumitrescu. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.' ieee: R. Dumitrescu et al., “Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering,” in Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, Berlin, 2021. mla: Dumitrescu, Roman, et al. “Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering.” Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier et al., Heinz Nixdorf Institut, Universität Paderborn, 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.' conference: end_date: 2021-12-03 location: Berlin name: 16. Symposium für Vorausschau und Technologieplanung start_date: 2021-12-02 date_created: 2021-10-25T13:32:30Z date_updated: 2022-01-06T06:57:29Z department: - _id: '563' editor: - first_name: Jürgen full_name: Gausemeier, Jürgen last_name: Gausemeier - first_name: Wilhelm full_name: Bauer, Wilhelm last_name: Bauer - first_name: Roman full_name: Dumitrescu, Roman last_name: Dumitrescu language: - iso: ger place: Paderborn publication: Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung publication_status: published publisher: Heinz Nixdorf Institut, Universität Paderborn status: public title: Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering type: conference user_id: '15782' year: '2021' ... --- _id: '26855' abstract: - lang: eng text: AbstractCyber-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. author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Ingrid full_name: Wiederkehr, Ingrid id: '38169' last_name: Wiederkehr - 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 citation: ama: 'Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. Proceedings of the Design Society. Published online 2021:3289-3298. doi:10.1017/pds.2021.590' apa: 'Meyer, M., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2021). UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. Proceedings of the Design Society, 3289–3298. https://doi.org/10.1017/pds.2021.590' bibtex: '@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2021, title={UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW}, DOI={10.1017/pds.2021.590}, journal={Proceedings of the Design Society}, author={Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}, year={2021}, pages={3289–3298} }' chicago: 'Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu. “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW.” Proceedings of the Design Society, 2021, 3289–98. https://doi.org/10.1017/pds.2021.590.' ieee: 'M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW,” Proceedings of the Design Society, pp. 3289–3298, 2021, doi: 10.1017/pds.2021.590.' mla: 'Meyer, Maurice, et al. “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW.” Proceedings of the Design Society, 2021, pp. 3289–98, doi:10.1017/pds.2021.590.' short: M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design Society (2021) 3289–3298. date_created: 2021-10-25T14:43:11Z date_updated: 2022-01-06T06:57:29Z department: - _id: '563' doi: 10.1017/pds.2021.590 language: - iso: eng page: 3289-3298 publication: Proceedings of the Design Society publication_identifier: issn: - 2732-527X publication_status: published status: public title: 'UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW' type: journal_article user_id: '43136' year: '2021' ... --- _id: '26857' author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Jan-Philipp full_name: Hemkentokrax, Jan-Philipp id: '76057' last_name: Hemkentokrax - 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 - first_name: Peter M. full_name: Tröster, Peter M. last_name: Tröster - first_name: Michael full_name: Schlegel, Michael last_name: Schlegel - first_name: Christopher L. full_name: Kling, Christopher L. last_name: Kling - first_name: Simon full_name: Rapp, Simon last_name: Rapp - first_name: Albert full_name: Albers, Albert last_name: Albers citation: 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. Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung. Vol 400. Heinz Nixdorf Institut, Universität Paderborn; 2021.' apa: 'Meyer, M., Hemkentokrax, J.-P., Koldewey, C., Dumitrescu, R., Tröster, P. M., Schlegel, M., Kling, C. L., Rapp, S., & Albers, A. (2021). Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis. In J. Gausemeier, W. Bauer, & R. Dumitrescu (Eds.), Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung (Vol. 400). Heinz Nixdorf Institut, Universität Paderborn.' 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} }' 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 Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier, Wilhelm Bauer, and Roman Dumitrescu, Vol. 400. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.' ieee: 'M. Meyer et al., “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis,” in Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, Berlin, 2021, vol. 400.' mla: 'Meyer, Maurice, et al. “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis.” Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier et al., vol. 400, Heinz Nixdorf Institut, Universität Paderborn, 2021.' 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.' conference: end_date: 2021-12-03 location: Berlin name: 16. Symposium für Vorausschau und Technologieplanung start_date: 2021-12-02 date_created: 2021-10-25T14:50:27Z date_updated: 2022-01-06T06:57:29Z department: - _id: '563' editor: - first_name: Jürgen full_name: Gausemeier, Jürgen last_name: Gausemeier - first_name: Wilhelm full_name: Bauer, Wilhelm last_name: Bauer - first_name: Roman full_name: Dumitrescu, Roman last_name: Dumitrescu intvolume: ' 400' language: - iso: ger place: Paderborn publication: Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung publication_status: published publisher: Heinz Nixdorf Institut, Universität Paderborn status: public title: 'Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis' type: conference user_id: '15782' volume: 400 year: '2021' ... --- _id: '26858' author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Melina full_name: Panzner, Melina last_name: Panzner - 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 citation: ama: Meyer M, Panzner M, Koldewey C, Dumitrescu R. Towards Identifying Data Analytics Use Cases in Product Planning. Procedia CIRP. 2021;104:1179-1184. apa: Meyer, M., Panzner, M., Koldewey, C., & Dumitrescu, R. (2021). Towards Identifying Data Analytics Use Cases in Product Planning. Procedia CIRP, 104, 1179–1184. 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} }' chicago: 'Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu. “Towards Identifying Data Analytics Use Cases in Product Planning.” Procedia CIRP 104 (2021): 1179–84.' ieee: M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “Towards Identifying Data Analytics Use Cases in Product Planning,” Procedia CIRP, vol. 104, pp. 1179–1184, 2021. mla: Meyer, Maurice, et al. “Towards Identifying Data Analytics Use Cases in Product Planning.” Procedia CIRP, vol. 104, 2021, pp. 1179–84. short: M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 104 (2021) 1179–1184. date_created: 2021-10-25T14:56:55Z date_updated: 2022-01-06T06:57:29Z department: - _id: '563' intvolume: ' 104' language: - iso: eng page: 1179-1184 publication: Procedia CIRP status: public title: Towards Identifying Data Analytics Use Cases in Product Planning type: journal_article user_id: '77201' volume: 104 year: '2021' ... --- _id: '19864' article_type: original author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven Strategic Product Planning. Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020). 2020. apa: Meyer, M., Frank, M., Massmann, M., & Dumitrescu, R. (2020). Research and Consulting in Data-Driven Strategic Product Planning. Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 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} }' chicago: Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu. “Research and Consulting in Data-Driven Strategic Product Planning.” Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020), 2020. ieee: M. Meyer, M. Frank, M. Massmann, and R. Dumitrescu, “Research and Consulting in Data-Driven Strategic Product Planning,” 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.” Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020), 2020. short: M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020) (2020). date_created: 2020-10-02T16:19:50Z date_updated: 2022-01-06T06:54:14Z department: - _id: '563' language: - iso: eng publication: Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020) status: public title: Research and Consulting in Data-Driven Strategic Product Planning type: journal_article user_id: '77201' year: '2020' ... --- _id: '19866' article_type: original author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven Strategic Product Planning. Journal of Systemics, Cybernetics and Informatics. 2020;18(2):55-61. apa: Meyer, M., Frank, M., Massmann, M., & Dumitrescu, R. (2020). Research and Consulting in Data-Driven Strategic Product Planning. Journal of Systemics, Cybernetics and Informatics, 18(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} }' chicago: 'Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu. “Research and Consulting in Data-Driven Strategic Product Planning.” Journal of Systemics, Cybernetics and Informatics 18, no. 2 (2020): 55–61.' ieee: M. Meyer, M. Frank, M. Massmann, and R. Dumitrescu, “Research and Consulting in Data-Driven Strategic Product Planning,” Journal of Systemics, Cybernetics and Informatics, vol. 18, no. 2, pp. 55–61, 2020. mla: Meyer, Maurice, et al. “Research and Consulting in Data-Driven Strategic Product Planning.” Journal of Systemics, Cybernetics and Informatics, vol. 18, no. 2, 2020, pp. 55–61. short: M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Journal of Systemics, Cybernetics and Informatics 18 (2020) 55–61. date_created: 2020-10-02T16:21:47Z date_updated: 2022-01-06T06:54:14Z department: - _id: '563' intvolume: ' 18' issue: '2' language: - iso: eng page: 55-61 publication: Journal of Systemics, Cybernetics and Informatics status: public title: Research and Consulting in Data-Driven Strategic Product Planning type: journal_article user_id: '77201' volume: 18 year: '2020' ... --- _id: '27096' author: - first_name: Christian full_name: Koldewey, Christian id: '43136' last_name: Koldewey orcid: https://orcid.org/0000-0001-7992-6399 - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Patrick full_name: Stockbruegger, Patrick last_name: Stockbruegger - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu - first_name: Jürgen full_name: Gausemeier, Jürgen last_name: Gausemeier citation: ama: Koldewey C, Meyer M, Stockbruegger P, Dumitrescu R, Gausemeier J. Framework and Functionality Patterns for Smart Service Innovation. Procedia CIRP (91). Published online 2020:851-857. apa: Koldewey, C., Meyer, M., Stockbruegger, P., Dumitrescu, R., & Gausemeier, J. (2020). Framework and Functionality Patterns for Smart Service Innovation. Procedia CIRP (91), 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} }' chicago: Koldewey, Christian, Maurice Meyer, Patrick Stockbruegger, Roman Dumitrescu, and Jürgen Gausemeier. “Framework and Functionality Patterns for Smart Service Innovation.” Procedia CIRP (91), 2020, 851–57. ieee: C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, and J. Gausemeier, “Framework and Functionality Patterns for Smart Service Innovation,” Procedia CIRP (91), pp. 851–857, 2020. mla: Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart Service Innovation.” Procedia CIRP (91), 2020, pp. 851–57. short: C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, J. Gausemeier, Procedia CIRP (91) (2020) 851–857. date_created: 2021-11-03T10:17:08Z date_updated: 2022-01-06T06:57:33Z department: - _id: '676' language: - iso: eng page: 851-857 publication: Procedia CIRP (91) status: public title: Framework and Functionality Patterns for Smart Service Innovation type: journal_article user_id: '21240' year: '2020' ... --- _id: '20447' article_type: original author: - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Sebastian full_name: von Enzberg, Sebastian last_name: von Enzberg - first_name: Arno full_name: Kühn, Arno last_name: Kühn - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: Massmann M, Meyer M, Frank M, von Enzberg S, Kühn A, Dumitrescu R. Method for data inventory and classification. Procedia CIRP. 2020;(93):234-239. apa: Massmann, M., Meyer, M., Frank, M., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2020). Method for data inventory and classification. Procedia CIRP, (93), 234–239. bibtex: '@article{Massmann_Meyer_Frank_von Enzberg_Kühn_Dumitrescu_2020, title={Method for data inventory and classification}, number={93}, journal={Procedia CIRP}, author={Massmann, Melina and Meyer, Maurice and Frank, Maximilian and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2020}, pages={234–239} }' chicago: 'Massmann, Melina, Maurice Meyer, Maximilian Frank, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Method for Data Inventory and Classification.” Procedia CIRP, no. 93 (2020): 234–39.' ieee: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, and R. Dumitrescu, “Method for data inventory and classification,” Procedia CIRP, no. 93, pp. 234–239, 2020. mla: Massmann, Melina, et al. “Method for Data Inventory and Classification.” Procedia CIRP, no. 93, 2020, pp. 234–39. short: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia CIRP (2020) 234–239. date_created: 2020-11-20T12:16:09Z date_updated: 2022-01-06T06:54:27Z department: - _id: '563' issue: '93' language: - iso: eng page: 234-239 publication: Procedia CIRP status: public title: Method for data inventory and classification type: journal_article user_id: '77201' year: '2020' ... --- _id: '20448' article_type: original author: - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Niklas full_name: Wendt, Niklas last_name: Wendt - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: Meyer M, Frank M, Massmann M, Wendt N, Dumitrescu R. Data-Driven Product Generation and Retrofit Planning. Procedia CIRP. 2020;(93):965-970. apa: Meyer, M., Frank, M., Massmann, M., Wendt, N., & Dumitrescu, R. (2020). Data-Driven Product Generation and Retrofit Planning. Procedia CIRP, (93), 965–970. bibtex: '@article{Meyer_Frank_Massmann_Wendt_Dumitrescu_2020, title={Data-Driven Product Generation and Retrofit Planning}, number={93}, journal={Procedia CIRP}, author={Meyer, Maurice and Frank, Maximilian and Massmann, Melina and Wendt, Niklas and Dumitrescu, Roman}, year={2020}, pages={965–970} }' chicago: 'Meyer, Maurice, Maximilian Frank, Melina Massmann, Niklas Wendt, and Roman Dumitrescu. “Data-Driven Product Generation and Retrofit Planning.” Procedia CIRP, no. 93 (2020): 965–70.' ieee: M. Meyer, M. Frank, M. Massmann, N. Wendt, and R. Dumitrescu, “Data-Driven Product Generation and Retrofit Planning,” Procedia CIRP, no. 93, pp. 965–970, 2020. mla: Meyer, Maurice, et al. “Data-Driven Product Generation and Retrofit Planning.” Procedia CIRP, no. 93, 2020, pp. 965–70. short: M. Meyer, M. Frank, M. Massmann, N. Wendt, R. Dumitrescu, Procedia CIRP (2020) 965–970. date_created: 2020-11-20T12:18:11Z date_updated: 2022-01-06T06:54:27Z department: - _id: '563' issue: '93' language: - iso: eng page: 965-970 publication: Procedia CIRP status: public title: Data-Driven Product Generation and Retrofit Planning type: journal_article user_id: '77201' year: '2020' ... --- _id: '20449' article_type: original author: - first_name: Eckart full_name: Uhlmann, Eckart last_name: Uhlmann - first_name: Roman full_name: Dumitrescu, Roman last_name: Dumitrescu - first_name: Julian full_name: Polte, Julian last_name: Polte - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Deniz full_name: Simsek, Deniz last_name: Simsek citation: ama: Uhlmann E, Dumitrescu R, Polte J, Meyer M, Simsek D. Datengetriebene Steigerung der Verfügbarkeit. wt Werkstattstechnik online . 2020;110(07-08):532-535. apa: Uhlmann, E., Dumitrescu, R., Polte, J., Meyer, M., & Simsek, D. (2020). Datengetriebene Steigerung der Verfügbarkeit. Wt Werkstattstechnik Online , 110(07–08), 532–535. bibtex: '@article{Uhlmann_Dumitrescu_Polte_Meyer_Simsek_2020, title={Datengetriebene Steigerung der Verfügbarkeit}, volume={110}, number={07–08}, journal={ wt Werkstattstechnik online }, author={Uhlmann, Eckart and Dumitrescu, Roman and Polte, Julian and Meyer, Maurice and Simsek, Deniz}, year={2020}, pages={532–535} }' chicago: 'Uhlmann, Eckart, Roman Dumitrescu, Julian Polte, Maurice Meyer, and Deniz Simsek. “Datengetriebene Steigerung Der Verfügbarkeit.” Wt Werkstattstechnik Online 110, no. 07–08 (2020): 532–35.' ieee: E. Uhlmann, R. Dumitrescu, J. Polte, M. Meyer, and D. Simsek, “Datengetriebene Steigerung der Verfügbarkeit,” wt Werkstattstechnik online , vol. 110, no. 07–08, pp. 532–535, 2020. mla: Uhlmann, Eckart, et al. “Datengetriebene Steigerung Der Verfügbarkeit.” Wt Werkstattstechnik Online , vol. 110, no. 07–08, 2020, pp. 532–35. short: E. Uhlmann, R. Dumitrescu, J. Polte, M. Meyer, D. Simsek, Wt Werkstattstechnik Online 110 (2020) 532–535. date_created: 2020-11-20T12:20:03Z date_updated: 2022-01-06T06:54:27Z department: - _id: '563' intvolume: ' 110' issue: 07-08 language: - iso: eng page: 532-535 publication: ' wt Werkstattstechnik online ' status: public title: Datengetriebene Steigerung der Verfügbarkeit type: journal_article user_id: '77201' volume: 110 year: '2020' ... --- _id: '20450' article_type: original author: - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Sebastian full_name: von Enzberg, Sebastian last_name: von Enzberg - first_name: Arno full_name: Kühn, Arno last_name: Kühn - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: Massmann M, Meyer M, Frank M, von Enzberg S, Kühn A, Dumitrescu R. Framework for Data Analytics in Data-Driven Product Planning. Procedia Manufacturing. 2020. apa: Massmann, M., Meyer, M., Frank, M., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2020). Framework for Data Analytics in Data-Driven Product Planning. Procedia Manufacturing. bibtex: '@article{Massmann_Meyer_Frank_von Enzberg_Kühn_Dumitrescu_2020, title={Framework for Data Analytics in Data-Driven Product Planning}, journal={Procedia Manufacturing}, author={Massmann, Melina and Meyer, Maurice and Frank, Maximilian and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2020} }' chicago: Massmann, Melina, Maurice Meyer, Maximilian Frank, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Framework for Data Analytics in Data-Driven Product Planning.” Procedia Manufacturing, 2020. ieee: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, and R. Dumitrescu, “Framework for Data Analytics in Data-Driven Product Planning,” Procedia Manufacturing, 2020. mla: Massmann, Melina, et al. “Framework for Data Analytics in Data-Driven Product Planning.” Procedia Manufacturing, 2020. short: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia Manufacturing (2020). date_created: 2020-11-20T12:22:19Z date_updated: 2022-01-06T06:54:27Z department: - _id: '563' language: - iso: eng publication: Procedia Manufacturing status: public title: Framework for Data Analytics in Data-Driven Product Planning type: journal_article user_id: '77201' year: '2020' ... --- _id: '18350' article_type: original author: - first_name: Christian full_name: Koldewey, Christian id: '43136' last_name: Koldewey orcid: https://orcid.org/0000-0001-7992-6399 - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Patrick full_name: Stockbrügger, Patrick last_name: Stockbrügger - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu - first_name: Jürgen full_name: Gausemeier, Jürgen last_name: Gausemeier citation: ama: Koldewey C, Meyer M, Stockbrügger P, Dumitrescu R, Gausemeier J. Framework and Functionality Patterns for Smart Service Innovation. Procedia CIRP. 2020;(91):851-857. doi:10.1016/j.procir.2020.02.244 apa: Koldewey, C., Meyer, M., Stockbrügger, P., Dumitrescu, R., & Gausemeier, J. (2020). Framework and Functionality Patterns for Smart Service Innovation. Procedia CIRP, (91), 851–857. https://doi.org/10.1016/j.procir.2020.02.244 bibtex: '@article{Koldewey_Meyer_Stockbrügger_Dumitrescu_Gausemeier_2020, title={Framework and Functionality Patterns for Smart Service Innovation}, DOI={10.1016/j.procir.2020.02.244}, 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} }' chicago: 'Koldewey, Christian, Maurice Meyer, Patrick Stockbrügger, Roman Dumitrescu, and Jürgen Gausemeier. “Framework and Functionality Patterns for Smart Service Innovation.” Procedia CIRP, no. 91 (2020): 851–57. https://doi.org/10.1016/j.procir.2020.02.244.' ieee: C. Koldewey, M. Meyer, P. Stockbrügger, R. Dumitrescu, and J. Gausemeier, “Framework and Functionality Patterns for Smart Service Innovation,” Procedia CIRP, no. 91, pp. 851–857, 2020. mla: Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart Service Innovation.” Procedia CIRP, no. 91, 2020, pp. 851–57, doi:10.1016/j.procir.2020.02.244. short: C. Koldewey, M. Meyer, P. Stockbrügger, R. Dumitrescu, J. Gausemeier, Procedia CIRP (2020) 851–857. date_created: 2020-08-26T09:39:12Z date_updated: 2022-01-06T06:53:29Z department: - _id: '563' doi: 10.1016/j.procir.2020.02.244 issue: '91' language: - iso: eng page: 851-857 publication: Procedia CIRP publication_identifier: issn: - 2212-8271 publication_status: published quality_controlled: '1' status: public title: Framework and Functionality Patterns for Smart Service Innovation type: journal_article user_id: '77201' year: '2020' ... --- _id: '27103' abstract: - lang: eng text: "One of the notable drivers of the fourth industrial revolution is the collection of vast amounts of data along the entire lifecycle of a product. 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" author: - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu - first_name: Sebastian full_name: von Enzberg, Sebastian last_name: von Enzberg - first_name: Maximilian full_name: Frank, Maximilian id: '38255' last_name: Frank - first_name: Christian full_name: Koldewey, Christian id: '43136' last_name: Koldewey orcid: https://orcid.org/0000-0001-7992-6399 - first_name: Arno full_name: Kühn, Arno last_name: Kühn - first_name: Jannik full_name: Reinhold, Jannik id: '33669' last_name: Reinhold citation: ama: 'Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven Product Generation and Retrofit Planning. 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., & Reinhold, J. (2019). Significance and Challenges of Data-driven Product Generation and Retrofit Planning. Proceedings of the CIRP DESIGN. 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} }' 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 Proceedings of the CIRP DESIGN. Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP), 2019. ieee: M. Massmann et al., “Significance and Challenges of Data-driven Product Generation and Retrofit Planning,” 2019. mla: Massmann, Melina, et al. “Significance and Challenges of Data-Driven Product Generation and Retrofit Planning.” Proceedings of the CIRP DESIGN, Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP), 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.' date_created: 2021-11-03T11:07:06Z date_updated: 2022-01-06T06:57:34Z department: - _id: '676' language: - iso: eng publication: Proceedings of the CIRP DESIGN publisher: Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP) status: public title: Significance and Challenges of Data-driven Product Generation and Retrofit Planning type: conference user_id: '21240' year: '2019' ... --- _id: '17392' author: - first_name: Melina full_name: Massmann, Melina last_name: Massmann - first_name: Maurice full_name: Meyer, Maurice id: '77201' last_name: Meyer orcid: 0000-0003-0606-7321 - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu - first_name: Sebastian von full_name: Enzberg, Sebastian von last_name: Enzberg - first_name: Maximilian full_name: Frank, Maximilian last_name: Frank - first_name: Christian full_name: Koldewey, Christian id: '43136' last_name: Koldewey orcid: https://orcid.org/0000-0001-7992-6399 - first_name: Arno full_name: Kühn, Arno last_name: Kühn - first_name: Jannik full_name: Reinhold, Jannik id: '33669' last_name: Reinhold citation: ama: Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven Product Generation and Retrofit Planning. Procedia CIRP. 2019:992-997. doi:10.1016/j.procir.2019.04.226 apa: Massmann, M., Meyer, M., Dumitrescu, R., Enzberg, S. von, Frank, M., Koldewey, C., … Reinhold, J. (2019). Significance and Challenges of Data-driven Product Generation and Retrofit Planning. Procedia CIRP, 992–997. https://doi.org/10.1016/j.procir.2019.04.226 bibtex: '@article{Massmann_Meyer_Dumitrescu_Enzberg_Frank_Koldewey_Kühn_Reinhold_2019, title={Significance and Challenges of Data-driven Product Generation and Retrofit Planning}, DOI={10.1016/j.procir.2019.04.226}, 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} }' 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.” Procedia CIRP, 2019, 992–97. https://doi.org/10.1016/j.procir.2019.04.226. ieee: M. Massmann et al., “Significance and Challenges of Data-driven Product Generation and Retrofit Planning,” Procedia CIRP, pp. 992–997, 2019. mla: Massmann, Melina, et al. “Significance and Challenges of Data-Driven Product Generation and Retrofit Planning.” Procedia CIRP, 2019, pp. 992–97, doi:10.1016/j.procir.2019.04.226. short: M. Massmann, M. Meyer, R. Dumitrescu, S. von Enzberg, M. Frank, C. Koldewey, A. Kühn, J. Reinhold, Procedia CIRP (2019) 992–997. date_created: 2020-07-16T16:29:26Z date_updated: 2022-01-06T06:53:10Z department: - _id: '563' doi: 10.1016/j.procir.2019.04.226 language: - iso: eng page: 992-997 publication: Procedia CIRP publication_identifier: issn: - 2212-8271 publication_status: published status: public title: Significance and Challenges of Data-driven Product Generation and Retrofit Planning type: journal_article user_id: '43136' year: '2019' ...