[{"date_updated":"2025-01-30T13:39:50Z","publisher":"MDPI AG","volume":12,"date_created":"2025-01-30T13:31:28Z","author":[{"full_name":"Weller, Julian","last_name":"Weller","first_name":"Julian"},{"full_name":"Migenda, Nico","last_name":"Migenda","first_name":"Nico"},{"full_name":"Naik, Yash","last_name":"Naik","first_name":"Yash"},{"first_name":"Tim","last_name":"Heuwinkel","full_name":"Heuwinkel, Tim"},{"last_name":"Kühn","full_name":"Kühn, Arno","first_name":"Arno"},{"first_name":"Martin","last_name":"Kohlhase","full_name":"Kohlhase, Martin"},{"first_name":"Wolfram","full_name":"Schenck, Wolfram","last_name":"Schenck"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"}],"title":"Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories","doi":"10.3390/math12172663","publication_identifier":{"issn":["2227-7390"]},"publication_status":"published","issue":"17","year":"2024","intvolume":"        12","citation":{"ama":"Weller J, Migenda N, Naik Y, et al. Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. <i>Mathematics</i>. 2024;12(17). doi:<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>","ieee":"J. Weller <i>et al.</i>, “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories,” <i>Mathematics</i>, vol. 12, no. 17, Art. no. 2663, 2024, doi: <a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>.","chicago":"Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” <i>Mathematics</i> 12, no. 17 (2024). <a href=\"https://doi.org/10.3390/math12172663\">https://doi.org/10.3390/math12172663</a>.","apa":"Weller, J., Migenda, N., Naik, Y., Heuwinkel, T., Kühn, A., Kohlhase, M., Schenck, W., &#38; Dumitrescu, R. (2024). Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. <i>Mathematics</i>, <i>12</i>(17), Article 2663. <a href=\"https://doi.org/10.3390/math12172663\">https://doi.org/10.3390/math12172663</a>","short":"J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).","bibtex":"@article{Weller_Migenda_Naik_Heuwinkel_Kühn_Kohlhase_Schenck_Dumitrescu_2024, title={Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories}, volume={12}, DOI={<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>}, number={172663}, journal={Mathematics}, publisher={MDPI AG}, author={Weller, Julian and Migenda, Nico and Naik, Yash and Heuwinkel, Tim and Kühn, Arno and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}, year={2024} }","mla":"Weller, Julian, et al. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” <i>Mathematics</i>, vol. 12, no. 17, 2663, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>."},"_id":"58425","department":[{"_id":"563"}],"user_id":"15782","article_number":"2663","language":[{"iso":"eng"}],"publication":"Mathematics","type":"journal_article","abstract":[{"text":"<jats:p>Prescriptive analytics plays an important role in decision making in smart factories by utilizing the available data to gain actionable insights. The planning, integration and development of such use cases still poses manifold challenges. Use cases are still being implemented as standalone versions; the existing IT-infrastructure is not fit for integrative bidirectional decision communication, and implementations only reach low technical readiness levels. We propose a reference architecture for the integration of prescriptive analytics use cases in smart factories. The method for the empirically grounded development of reference architectures by Galster and Avgeriou serves as a blueprint. Through the development and validation of a specific IoT-Factory use case, we demonstrate the efficacy of the proposed reference architecture. We expand the given reference architecture for one use case to the integration of a smart factory and its application to multiple use cases. Moreover, we identify the interdependency among multiple use cases within dynamic environments. Our prescriptive reference architecture provides a structured way to improve operational efficiency and optimize resource allocation.</jats:p>","lang":"eng"}],"status":"public"},{"publication":"Procedia CIRP","type":"journal_article","status":"public","department":[{"_id":"563"}],"user_id":"15782","_id":"58421","language":[{"iso":"eng"}],"publication_identifier":{"issn":["2212-8271"]},"publication_status":"published","intvolume":"       130","page":"1454-1461","citation":{"short":"S. von Enzberg, J. Weller, J. Brock, S. Merkelbach, M. Panzner, J. Lick, A. Kühn, R. Dumitrescu, Procedia CIRP 130 (2024) 1454–1461.","bibtex":"@article{von Enzberg_Weller_Brock_Merkelbach_Panzner_Lick_Kühn_Dumitrescu_2024, title={On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions}, volume={130}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">10.1016/j.procir.2024.10.266</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={von Enzberg, Sebastian and Weller, Julian and Brock, Jonathan and Merkelbach, Silke and Panzner, Melina and Lick, Jonas and Kühn, Arno and Dumitrescu, Roman}, year={2024}, pages={1454–1461} }","mla":"von Enzberg, Sebastian, et al. “On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions.” <i>Procedia CIRP</i>, vol. 130, Elsevier BV, 2024, pp. 1454–61, doi:<a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">10.1016/j.procir.2024.10.266</a>.","apa":"von Enzberg, S., Weller, J., Brock, J., Merkelbach, S., Panzner, M., Lick, J., Kühn, A., &#38; Dumitrescu, R. (2024). On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions. <i>Procedia CIRP</i>, <i>130</i>, 1454–1461. <a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">https://doi.org/10.1016/j.procir.2024.10.266</a>","ama":"von Enzberg S, Weller J, Brock J, et al. On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions. <i>Procedia CIRP</i>. 2024;130:1454-1461. doi:<a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">10.1016/j.procir.2024.10.266</a>","chicago":"Enzberg, Sebastian von, Julian Weller, Jonathan Brock, Silke Merkelbach, Melina Panzner, Jonas Lick, Arno Kühn, and Roman Dumitrescu. “On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions.” <i>Procedia CIRP</i> 130 (2024): 1454–61. <a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">https://doi.org/10.1016/j.procir.2024.10.266</a>.","ieee":"S. von Enzberg <i>et al.</i>, “On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions,” <i>Procedia CIRP</i>, vol. 130, pp. 1454–1461, 2024, doi: <a href=\"https://doi.org/10.1016/j.procir.2024.10.266\">10.1016/j.procir.2024.10.266</a>."},"year":"2024","volume":130,"author":[{"last_name":"von Enzberg","full_name":"von Enzberg, Sebastian","first_name":"Sebastian"},{"full_name":"Weller, Julian","last_name":"Weller","first_name":"Julian"},{"last_name":"Brock","full_name":"Brock, Jonathan","first_name":"Jonathan"},{"full_name":"Merkelbach, Silke","last_name":"Merkelbach","first_name":"Silke"},{"last_name":"Panzner","full_name":"Panzner, Melina","first_name":"Melina"},{"last_name":"Lick","full_name":"Lick, Jonas","first_name":"Jonas"},{"first_name":"Arno","full_name":"Kühn, Arno","last_name":"Kühn"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"date_created":"2025-01-30T13:01:25Z","date_updated":"2025-01-30T13:01:49Z","publisher":"Elsevier BV","doi":"10.1016/j.procir.2024.10.266","title":"On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions"},{"citation":{"chicago":"Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” <i>Procedia CIRP</i> 128 (2024): 424–29. <a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">https://doi.org/10.1016/j.procir.2024.03.022</a>.","ieee":"J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, and R. Dumitrescu, “Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories,” <i>Procedia CIRP</i>, vol. 128, pp. 424–429, 2024, doi: <a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">10.1016/j.procir.2024.03.022</a>.","ama":"Weller J, Migenda N, Enzberg S von, Kohlhase M, Schenck W, Dumitrescu R. Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. <i>Procedia CIRP</i>. 2024;128:424-429. doi:<a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">10.1016/j.procir.2024.03.022</a>","apa":"Weller, J., Migenda, N., Enzberg, S. von, Kohlhase, M., Schenck, W., &#38; Dumitrescu, R. (2024). Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. <i>Procedia CIRP</i>, <i>128</i>, 424–429. <a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">https://doi.org/10.1016/j.procir.2024.03.022</a>","bibtex":"@article{Weller_Migenda_Enzberg_Kohlhase_Schenck_Dumitrescu_2024, title={Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories}, volume={128}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">10.1016/j.procir.2024.03.022</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Weller, Julian and Migenda, Nico and Enzberg, Sebastian von and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}, year={2024}, pages={424–429} }","mla":"Weller, Julian, et al. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” <i>Procedia CIRP</i>, vol. 128, Elsevier BV, 2024, pp. 424–29, doi:<a href=\"https://doi.org/10.1016/j.procir.2024.03.022\">10.1016/j.procir.2024.03.022</a>.","short":"J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, Procedia CIRP 128 (2024) 424–429."},"page":"424-429","intvolume":"       128","year":"2024","publication_status":"published","publication_identifier":{"issn":["2212-8271"]},"doi":"10.1016/j.procir.2024.03.022","title":"Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories","date_created":"2025-01-30T13:24:32Z","author":[{"first_name":"Julian","last_name":"Weller","full_name":"Weller, Julian"},{"first_name":"Nico","last_name":"Migenda","full_name":"Migenda, Nico"},{"last_name":"Enzberg","full_name":"Enzberg, Sebastian von","first_name":"Sebastian von"},{"last_name":"Kohlhase","full_name":"Kohlhase, Martin","first_name":"Martin"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","first_name":"Wolfram"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"}],"volume":128,"date_updated":"2025-01-30T13:24:49Z","publisher":"Elsevier BV","status":"public","type":"journal_article","publication":"Procedia CIRP","language":[{"iso":"eng"}],"user_id":"15782","department":[{"_id":"563"}],"_id":"58422"},{"page":"100-105","intvolume":"       130","citation":{"ama":"Hartmann S, Brock J, Kühn A, Dumitrescu R. Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases. <i>Procedia CIRP</i>. 2024;130:100-105. doi:<a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">10.1016/j.procir.2024.10.062</a>","ieee":"S. Hartmann, J. Brock, A. Kühn, and R. Dumitrescu, “Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases,” <i>Procedia CIRP</i>, vol. 130, pp. 100–105, 2024, doi: <a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">10.1016/j.procir.2024.10.062</a>.","chicago":"Hartmann, Stefan, Jonathan Brock, Arno Kühn, and Roman Dumitrescu. “Applying Artificial Intelligence in the Smart Factory: Lessons Learned from Real-World Use Cases.” <i>Procedia CIRP</i> 130 (2024): 100–105. <a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">https://doi.org/10.1016/j.procir.2024.10.062</a>.","apa":"Hartmann, S., Brock, J., Kühn, A., &#38; Dumitrescu, R. (2024). Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases. <i>Procedia CIRP</i>, <i>130</i>, 100–105. <a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">https://doi.org/10.1016/j.procir.2024.10.062</a>","mla":"Hartmann, Stefan, et al. “Applying Artificial Intelligence in the Smart Factory: Lessons Learned from Real-World Use Cases.” <i>Procedia CIRP</i>, vol. 130, Elsevier BV, 2024, pp. 100–05, doi:<a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">10.1016/j.procir.2024.10.062</a>.","short":"S. Hartmann, J. Brock, A. Kühn, R. Dumitrescu, Procedia CIRP 130 (2024) 100–105.","bibtex":"@article{Hartmann_Brock_Kühn_Dumitrescu_2024, title={Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases}, volume={130}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2024.10.062\">10.1016/j.procir.2024.10.062</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Hartmann, Stefan and Brock, Jonathan and Kühn, Arno and Dumitrescu, Roman}, year={2024}, pages={100–105} }"},"year":"2024","publication_identifier":{"issn":["2212-8271"]},"publication_status":"published","doi":"10.1016/j.procir.2024.10.062","title":"Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases","volume":130,"author":[{"first_name":"Stefan","last_name":"Hartmann","full_name":"Hartmann, Stefan"},{"last_name":"Brock","full_name":"Brock, Jonathan","first_name":"Jonathan"},{"first_name":"Arno","full_name":"Kühn, Arno","last_name":"Kühn"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"date_created":"2025-01-30T13:00:18Z","date_updated":"2025-01-30T13:00:44Z","publisher":"Elsevier BV","status":"public","publication":"Procedia CIRP","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"563"}],"user_id":"15782","_id":"58420"},{"status":"public","type":"conference","language":[{"iso":"eng"}],"_id":"58423","user_id":"15782","department":[{"_id":"563"}],"year":"2024","citation":{"chicago":"Weller, Julian, Nico Migenda, Arno Kühn, and Roman Dumitrescu. “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories.” LibreCat University, 2024. <a href=\"https://doi.org/10.15488/17721\">https://doi.org/10.15488/17721</a>.","ieee":"J. Weller, N. Migenda, A. Kühn, and R. Dumitrescu, “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories,” presented at the CPSL - Conference on Production Systems and Logistics 2024 , Hawaii, Honululu, 2024, doi: <a href=\"https://doi.org/10.15488/17721\">10.15488/17721</a>.","ama":"Weller J, Migenda N, Kühn A, Dumitrescu R. Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories. In: LibreCat University; 2024. doi:<a href=\"https://doi.org/10.15488/17721\">10.15488/17721</a>","apa":"Weller, J., Migenda, N., Kühn, A., &#38; Dumitrescu, R. (2024). <i>Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories</i>. CPSL - Conference on Production Systems and Logistics 2024 , Hawaii, Honululu. <a href=\"https://doi.org/10.15488/17721\">https://doi.org/10.15488/17721</a>","bibtex":"@inproceedings{Weller_Migenda_Kühn_Dumitrescu_2024, title={Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories}, DOI={<a href=\"https://doi.org/10.15488/17721\">10.15488/17721</a>}, publisher={LibreCat University}, author={Weller, Julian and Migenda, Nico and Kühn, Arno and Dumitrescu, Roman}, year={2024} }","mla":"Weller, Julian, et al. <i>Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories</i>. LibreCat University, 2024, doi:<a href=\"https://doi.org/10.15488/17721\">10.15488/17721</a>.","short":"J. Weller, N. Migenda, A. Kühn, R. Dumitrescu, in: LibreCat University, 2024."},"title":"Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories","doi":"10.15488/17721","conference":{"location":"Hawaii, Honululu","end_date":"2024-07-12","start_date":"2024-07-09","name":"CPSL - Conference on Production Systems and Logistics 2024 "},"publisher":"LibreCat University","date_updated":"2025-01-30T13:40:01Z","author":[{"full_name":"Weller, Julian","last_name":"Weller","first_name":"Julian"},{"last_name":"Migenda","full_name":"Migenda, Nico","first_name":"Nico"},{"first_name":"Arno","last_name":"Kühn","full_name":"Kühn, Arno"},{"first_name":"Roman","last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman"}],"date_created":"2025-01-30T13:25:26Z"},{"intvolume":"       125","page":"31:1-31:15","citation":{"ieee":"S. Merkelbach  <i>et al.</i>, “Using Multi-Modal LLMs to Create Models for Fault Diagnosis,” in <i>Open Access Series in Informatics (OASIcs)</i>, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024), 2024, vol. 125, p. 31:1-31:15.","chicago":"Merkelbach , Silke, Alexander  Diedrich , Anna   Sztyber-Betley, Louise  Travé-Massuyès, Elodie  Chanthery , Oliver  Niggemann , and Roman  Dumitrescu . “Using Multi-Modal LLMs to Create Models for Fault Diagnosis.” In <i>Open Access Series in Informatics (OASIcs)</i>, 125:31:1-31:15, 2024.","ama":"Merkelbach  S, Diedrich  A, Sztyber-Betley A, et al. Using Multi-Modal LLMs to Create Models for Fault Diagnosis. In: <i>Open Access Series in Informatics (OASIcs)</i>. Vol 125. ; 2024:31:1-31:15.","apa":"Merkelbach , S., Diedrich , A., Sztyber-Betley, A., Travé-Massuyès, L., Chanthery , E., Niggemann , O., &#38; Dumitrescu , R. (2024). Using Multi-Modal LLMs to Create Models for Fault Diagnosis. <i>Open Access Series in Informatics (OASIcs)</i>, <i>125</i>, 31:1-31:15.","short":"S. Merkelbach , A. Diedrich , A. Sztyber-Betley, L. Travé-Massuyès, E. Chanthery , O. Niggemann , R. Dumitrescu , in: Open Access Series in Informatics (OASIcs), 2024, p. 31:1-31:15.","mla":"Merkelbach , Silke, et al. “Using Multi-Modal LLMs to Create Models for Fault Diagnosis.” <i>Open Access Series in Informatics (OASIcs)</i>, vol. 125, 2024, p. 31:1-31:15.","bibtex":"@inproceedings{Merkelbach _Diedrich _Sztyber-Betley_Travé-Massuyès_Chanthery _Niggemann _Dumitrescu _2024, title={Using Multi-Modal LLMs to Create Models for Fault Diagnosis}, volume={125}, booktitle={Open Access Series in Informatics (OASIcs)}, author={Merkelbach , Silke and Diedrich , Alexander  and Sztyber-Betley, Anna   and Travé-Massuyès, Louise  and Chanthery , Elodie  and Niggemann , Oliver  and Dumitrescu , Roman }, year={2024}, pages={31:1-31:15} }"},"year":"2024","conference":{"name":" 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024) ","location":"Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)"},"title":"Using Multi-Modal LLMs to Create Models for Fault Diagnosis","volume":125,"date_created":"2025-01-30T13:39:43Z","author":[{"full_name":"Merkelbach , Silke","last_name":"Merkelbach ","first_name":"Silke"},{"full_name":"Diedrich , Alexander ","last_name":"Diedrich ","first_name":"Alexander "},{"first_name":"Anna  ","full_name":"Sztyber-Betley, Anna  ","last_name":"Sztyber-Betley"},{"full_name":"Travé-Massuyès, Louise ","last_name":"Travé-Massuyès","first_name":"Louise "},{"first_name":"Elodie ","full_name":"Chanthery , Elodie ","last_name":"Chanthery "},{"first_name":"Oliver ","last_name":"Niggemann ","full_name":"Niggemann , Oliver "},{"first_name":"Roman ","last_name":"Dumitrescu ","full_name":"Dumitrescu , Roman "}],"date_updated":"2025-01-30T13:39:46Z","status":"public","publication":"Open Access Series in Informatics (OASIcs)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"563"}],"user_id":"15782","_id":"58431"},{"year":"2024","citation":{"ieee":"M. Niederhaus, N. Migenda, J. Weller, W. Schenck, and M. Kohlhase, “Technical Readiness of Prescriptive Analytics Platforms: A Survey,” 2024, doi: <a href=\"https://doi.org/10.23919/fruct61870.2024.10516367\">10.23919/fruct61870.2024.10516367</a>.","chicago":"Niederhaus, Marvin, Nico Migenda, Julian Weller, Wolfram Schenck, and Martin Kohlhase. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” In <i>2024 35th Conference of Open Innovations Association (FRUCT)</i>. IEEE, 2024. <a href=\"https://doi.org/10.23919/fruct61870.2024.10516367\">https://doi.org/10.23919/fruct61870.2024.10516367</a>.","ama":"Niederhaus M, Migenda N, Weller J, Schenck W, Kohlhase M. Technical Readiness of Prescriptive Analytics Platforms: A Survey. In: <i>2024 35th Conference of Open Innovations Association (FRUCT)</i>. IEEE; 2024. doi:<a href=\"https://doi.org/10.23919/fruct61870.2024.10516367\">10.23919/fruct61870.2024.10516367</a>","mla":"Niederhaus, Marvin, et al. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” <i>2024 35th Conference of Open Innovations Association (FRUCT)</i>, IEEE, 2024, doi:<a href=\"https://doi.org/10.23919/fruct61870.2024.10516367\">10.23919/fruct61870.2024.10516367</a>.","short":"M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. 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Tag des Systems Engineering 2024, Leipzig."},"date_updated":"2025-01-30T14:37:29Z","author":[{"first_name":"Daria ","full_name":"Wilke, Daria ","last_name":"Wilke"},{"last_name":"Grote","full_name":"Grote, Eva-Maria","first_name":"Eva-Maria"},{"last_name":"Schierbaum","full_name":"Schierbaum, Anja ","first_name":"Anja "},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"date_created":"2025-01-30T14:37:26Z","title":"Messbare Erfolgskriterien von Systems Engineering","conference":{"end_date":"2024-11-15","location":"Leipzig","name":"Tag des Systems Engineering 2024","start_date":"2024-11-13"}},{"citation":{"chicago":"Latos, Benedikt, Armin Buckhorst, Peyman Kalantar, Dominik Bentler, Stefan Gabriel, Roman Dumitrescu, Michael Minge, Barbara Steinmann, and Nadine Guhr. “Time Autonomy in Personnel Planning: Requirements and Solution Approaches in the Context of Intelligent Scheduling from a Holistic Organizational Perspective Zeitautonomie in Der Personaleinsatzplanung: Anforderungen Und Lösungsansätze Im Rahmen Einer Intelligenten Planung Aus Ganzheitlicher Organisationaler Perspektive.” <i>Zeitschrift Für Arbeitswissenschaft</i> 78, no. 3 (2024): 277–98. <a href=\"https://doi.org/10.1007/s41449-024-00432-7\">https://doi.org/10.1007/s41449-024-00432-7</a>.","ieee":"B. Latos <i>et al.</i>, “Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive,” <i>Zeitschrift für Arbeitswissenschaft</i>, vol. 78, no. 3, pp. 277–298, 2024, doi: <a href=\"https://doi.org/10.1007/s41449-024-00432-7\">10.1007/s41449-024-00432-7</a>.","ama":"Latos B, Buckhorst A, Kalantar P, et al. Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive. <i>Zeitschrift für Arbeitswissenschaft</i>. 2024;78(3):277-298. doi:<a href=\"https://doi.org/10.1007/s41449-024-00432-7\">10.1007/s41449-024-00432-7</a>","mla":"Latos, Benedikt, et al. “Time Autonomy in Personnel Planning: Requirements and Solution Approaches in the Context of Intelligent Scheduling from a Holistic Organizational Perspective Zeitautonomie in Der Personaleinsatzplanung: Anforderungen Und Lösungsansätze Im Rahmen Einer Intelligenten Planung Aus Ganzheitlicher Organisationaler Perspektive.” <i>Zeitschrift Für Arbeitswissenschaft</i>, vol. 78, no. 3, Springer Science and Business Media LLC, 2024, pp. 277–98, doi:<a href=\"https://doi.org/10.1007/s41449-024-00432-7\">10.1007/s41449-024-00432-7</a>.","bibtex":"@article{Latos_Buckhorst_Kalantar_Bentler_Gabriel_Dumitrescu_Minge_Steinmann_Guhr_2024, title={Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive}, volume={78}, DOI={<a href=\"https://doi.org/10.1007/s41449-024-00432-7\">10.1007/s41449-024-00432-7</a>}, number={3}, journal={Zeitschrift für Arbeitswissenschaft}, publisher={Springer Science and Business Media LLC}, author={Latos, Benedikt and Buckhorst, Armin and Kalantar, Peyman and Bentler, Dominik and Gabriel, Stefan and Dumitrescu, Roman and Minge, Michael and Steinmann, Barbara and Guhr, Nadine}, year={2024}, pages={277–298} }","short":"B. Latos, A. Buckhorst, P. Kalantar, D. Bentler, S. Gabriel, R. Dumitrescu, M. Minge, B. Steinmann, N. Guhr, Zeitschrift Für Arbeitswissenschaft 78 (2024) 277–298.","apa":"Latos, B., Buckhorst, A., Kalantar, P., Bentler, D., Gabriel, S., Dumitrescu, R., Minge, M., Steinmann, B., &#38; Guhr, N. (2024). Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive. <i>Zeitschrift Für Arbeitswissenschaft</i>, <i>78</i>(3), 277–298. <a href=\"https://doi.org/10.1007/s41449-024-00432-7\">https://doi.org/10.1007/s41449-024-00432-7</a>"},"intvolume":"        78","page":"277-298","year":"2024","issue":"3","publication_status":"published","publication_identifier":{"issn":["0340-2444","2366-4681"]},"doi":"10.1007/s41449-024-00432-7","title":"Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive","date_created":"2025-01-31T13:17:10Z","author":[{"first_name":"Benedikt","last_name":"Latos","full_name":"Latos, Benedikt"},{"full_name":"Buckhorst, Armin","last_name":"Buckhorst","first_name":"Armin"},{"first_name":"Peyman","full_name":"Kalantar, Peyman","last_name":"Kalantar"},{"first_name":"Dominik","last_name":"Bentler","full_name":"Bentler, Dominik"},{"first_name":"Stefan","full_name":"Gabriel, Stefan","last_name":"Gabriel"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"},{"full_name":"Minge, Michael","last_name":"Minge","first_name":"Michael"},{"first_name":"Barbara","last_name":"Steinmann","full_name":"Steinmann, Barbara"},{"full_name":"Guhr, Nadine","last_name":"Guhr","first_name":"Nadine"}],"volume":78,"date_updated":"2025-01-31T13:17:32Z","publisher":"Springer Science and Business Media LLC","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Traditional work models often need more flexibility and time autonomy for employees, especially in manufacturing. Quantitative approaches and Artificial Intelligence (AI) applications offer the potential to improve work design. However, current research does not entirely focus on human-centric criteria that enable time autonomy. This paper addresses this gap by developing a set of criteria to evaluate intelligent personnel planning approaches based on their ability to enhance time autonomy for employees. Existing quantitative approaches are not sufficient to fully integrate the developed criteria.</jats:p><jats:p>Consequently, a novel model approach is proposed in an attempt to bridge the gap between current practices and the newly developed criteria. This two-stage planning approach fosters democratization of time autonomy on the shopfloor, moving beyond traditional top-down scheduling. The paper concludes by outlining the implementation process and discusses future developments with respect to AI for this model approach.</jats:p><jats:p><jats:italic>Practical Relevance</jats:italic>: In order to make working conditions on the shopfloor in high-wage countries more attractive, an alternative organization of shift work is needed. Intelligent planning approaches that combine traditional operations research methods with artificial intelligence approaches can democratize shift organization regarding time autonomy. Planning that takes both employee and employer preferences into account in a balanced way will strengthen the long-term competitiveness of manufacturing companies in high-wage countries and counteract the shortage of skilled labor.</jats:p>"}],"type":"journal_article","publication":"Zeitschrift für Arbeitswissenschaft","language":[{"iso":"eng"}],"user_id":"15782","department":[{"_id":"563"}],"_id":"58467"},{"page":"1413-1428","intvolume":"        34","citation":{"ama":"Kaiser L, Wilke D, Förster F, Köhler I, Dumitrescu R. Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector. <i>INCOSE International Symposium</i>. 2024;34(1):1413-1428. doi:<a href=\"https://doi.org/10.1002/iis2.13216\">10.1002/iis2.13216</a>","chicago":"Kaiser, Lydia, Daria Wilke, Felix Förster, Ingmarie Köhler, and Roman Dumitrescu. “Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector.” <i>INCOSE International Symposium</i> 34, no. 1 (2024): 1413–28. <a href=\"https://doi.org/10.1002/iis2.13216\">https://doi.org/10.1002/iis2.13216</a>.","ieee":"L. Kaiser, D. Wilke, F. Förster, I. Köhler, and R. Dumitrescu, “Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector,” <i>INCOSE International Symposium</i>, vol. 34, no. 1, pp. 1413–1428, 2024, doi: <a href=\"https://doi.org/10.1002/iis2.13216\">10.1002/iis2.13216</a>.","apa":"Kaiser, L., Wilke, D., Förster, F., Köhler, I., &#38; Dumitrescu, R. (2024). Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector. <i>INCOSE International Symposium</i>, <i>34</i>(1), 1413–1428. <a href=\"https://doi.org/10.1002/iis2.13216\">https://doi.org/10.1002/iis2.13216</a>","mla":"Kaiser, Lydia, et al. “Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector.” <i>INCOSE International Symposium</i>, vol. 34, no. 1, Wiley, 2024, pp. 1413–28, doi:<a href=\"https://doi.org/10.1002/iis2.13216\">10.1002/iis2.13216</a>.","bibtex":"@article{Kaiser_Wilke_Förster_Köhler_Dumitrescu_2024, title={Evolving Roles in Systems Engineering —‐ Insights from Germany’s Mechanical and Plant Engineering Sector}, volume={34}, DOI={<a href=\"https://doi.org/10.1002/iis2.13216\">10.1002/iis2.13216</a>}, number={1}, journal={INCOSE International Symposium}, publisher={Wiley}, author={Kaiser, Lydia and Wilke, Daria and Förster, Felix and Köhler, Ingmarie and Dumitrescu, Roman}, year={2024}, pages={1413–1428} }","short":"L. Kaiser, D. Wilke, F. Förster, I. Köhler, R. Dumitrescu, INCOSE International Symposium 34 (2024) 1413–1428."},"year":"2024","issue":"1","publication_identifier":{"issn":["2334-5837","2334-5837"]},"publication_status":"published","doi":"10.1002/iis2.13216","title":"Evolving Roles in Systems Engineering —‐ Insights from Germany's Mechanical and Plant Engineering Sector","volume":34,"author":[{"full_name":"Kaiser, Lydia","last_name":"Kaiser","first_name":"Lydia"},{"first_name":"Daria","full_name":"Wilke, Daria","last_name":"Wilke"},{"first_name":"Felix","last_name":"Förster","full_name":"Förster, Felix"},{"full_name":"Köhler, Ingmarie","last_name":"Köhler","first_name":"Ingmarie"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"}],"date_created":"2025-01-31T13:19:03Z","date_updated":"2025-01-31T13:19:24Z","publisher":"Wiley","status":"public","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>Systems Engineering is developing differently in each sector and region. In German industry, especially in mechanical and plant engineering, Systems Engineering is of major importance. The introduction of Systems Engineering raises the question of which roles and competencies are required. This article examines the evolution of roles in Systems Engineering from a German perspective. Based on a literature review, the evolution of the identified Systems Engineering roles over time is shown, starting with the seminal publication by Sheard in 1996. It points out that only minimal adjustments and occasional role renaming have occurred. However, the review shows a common understanding of essential areas of responsibility within the SE and changes over time. The next step is to examine the current understanding of Systems Engineering roles in the industry. A quantitative analysis of job postings in Germany reveals a diverse interpretation of the term 'Systems Engineer; more than half of the positions cannot be categorized according to the INCOSE definitions. The job postings are used to determine which tasks are associated with the job, how often they occur, and in what combination. The primary responsibilities of systems engineers include creating and managing requirements, architecture processes, validation, and verification processes, and coordinating with customers and stakeholders. Finally, three representative companies from the mechanical and plant engineering sector were selected to analyze existing roles and tasks. From this, a common understanding of tasks and responsibilities is combined and organized into clusters. These are used by the companies to locate and thus derive their roles. The result is in an integrative approach that enables companies, especially in the midsize and medium sectors, to design the introduction in line with stakeholder demands. In summary, the industry's ongoing adaptation necessitates the evolution of Systems Engineering roles and competencies for successful and sustainable development and implementation of systems.</jats:p>","lang":"eng"}],"publication":"INCOSE International Symposium","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"563"}],"user_id":"15782","_id":"58468"},{"language":[{"iso":"eng"}],"user_id":"15782","department":[{"_id":"563"}],"_id":"58466","status":"public","type":"journal_article","publication":"IEEE Transactions on Engineering Management","doi":"10.1109/tem.2024.3456820","title":"Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”","author":[{"first_name":"Elias G.","last_name":"Carayannis","full_name":"Carayannis, Elias G."},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"},{"first_name":"Tommy","full_name":"Falkowski, Tommy","last_name":"Falkowski"},{"full_name":"Zota, Nikos-Rigert","last_name":"Zota","first_name":"Nikos-Rigert"}],"date_created":"2025-01-31T13:15:58Z","volume":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","date_updated":"2025-01-31T13:16:15Z","citation":{"apa":"Carayannis, E. G., Dumitrescu, R., Falkowski, T., &#38; Zota, N.-R. (2024). Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness.” <i>IEEE Transactions on Engineering Management</i>, <i>71</i>, 14754–14774. <a href=\"https://doi.org/10.1109/tem.2024.3456820\">https://doi.org/10.1109/tem.2024.3456820</a>","mla":"Carayannis, Elias G., et al. “Empowering SMEs ‘Harnessing the Potential of Gen AI for Resilience and Competitiveness.’” <i>IEEE Transactions on Engineering Management</i>, vol. 71, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 14754–74, doi:<a href=\"https://doi.org/10.1109/tem.2024.3456820\">10.1109/tem.2024.3456820</a>.","bibtex":"@article{Carayannis_Dumitrescu_Falkowski_Zota_2024, title={Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”}, volume={71}, DOI={<a href=\"https://doi.org/10.1109/tem.2024.3456820\">10.1109/tem.2024.3456820</a>}, journal={IEEE Transactions on Engineering Management}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Carayannis, Elias G. and Dumitrescu, Roman and Falkowski, Tommy and Zota, Nikos-Rigert}, year={2024}, pages={14754–14774} }","short":"E.G. Carayannis, R. Dumitrescu, T. Falkowski, N.-R. Zota, IEEE Transactions on Engineering Management 71 (2024) 14754–14774.","ieee":"E. G. Carayannis, R. Dumitrescu, T. Falkowski, and N.-R. Zota, “Empowering SMEs ‘Harnessing the Potential of Gen AI for Resilience and Competitiveness,’” <i>IEEE Transactions on Engineering Management</i>, vol. 71, pp. 14754–14774, 2024, doi: <a href=\"https://doi.org/10.1109/tem.2024.3456820\">10.1109/tem.2024.3456820</a>.","chicago":"Carayannis, Elias G., Roman Dumitrescu, Tommy Falkowski, and Nikos-Rigert Zota. “Empowering SMEs ‘Harnessing the Potential of Gen AI for Resilience and Competitiveness.’” <i>IEEE Transactions on Engineering Management</i> 71 (2024): 14754–74. <a href=\"https://doi.org/10.1109/tem.2024.3456820\">https://doi.org/10.1109/tem.2024.3456820</a>.","ama":"Carayannis EG, Dumitrescu R, Falkowski T, Zota N-R. Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness.” <i>IEEE Transactions on Engineering Management</i>. 2024;71:14754-14774. doi:<a href=\"https://doi.org/10.1109/tem.2024.3456820\">10.1109/tem.2024.3456820</a>"},"intvolume":"        71","page":"14754-14774","year":"2024","publication_status":"published","publication_identifier":{"issn":["0018-9391","1558-0040"]}},{"_id":"58474","department":[{"_id":"563"}],"user_id":"15782","article_number":"e18","language":[{"iso":"eng"}],"publication":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","type":"journal_article","abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n\t  <jats:p>The application of data analytics to product usage data has the potential to enhance engineering and decision-making in product planning. To achieve this effectively for cyber-physical systems (CPS), it is necessary to possess specialized expertise in technical products, innovation processes, and data analytics. An understanding of the process from domain knowledge to data analysis is of critical importance for the successful completion of projects, even for those without expertise in these areas. In this paper, we set out the foundation for a toolbox for data analytics, which will enable the creation of domain-specific pipelines for product planning. The toolbox includes a morphological box that covers the necessary pipeline components, based on a thorough analysis of literature and practitioner surveys. This comprehensive overview is unique. The toolbox based on it promises to support and enable domain experts and citizen data scientists, enhancing efficiency in product design, speeding up time to market, and shortening innovation cycles.</jats:p>","lang":"eng"}],"status":"public","publisher":"Cambridge University Press (CUP)","date_updated":"2025-01-31T14:24:45Z","volume":38,"author":[{"last_name":"Panzner","full_name":"Panzner, Melina","first_name":"Melina"},{"first_name":"Sebastian","last_name":"von Enzberg","full_name":"von Enzberg, Sebastian"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","id":"16190","first_name":"Roman"}],"date_created":"2025-01-31T14:24:26Z","title":"Developing a data analytics toolbox for data-driven product planning: a review and survey methodology","doi":"10.1017/s0890060424000209","publication_identifier":{"issn":["0890-0604","1469-1760"]},"publication_status":"published","year":"2024","intvolume":"        38","citation":{"short":"M. Panzner, S. von Enzberg, R. Dumitrescu, Artificial Intelligence for Engineering Design, Analysis and Manufacturing 38 (2024).","mla":"Panzner, Melina, et al. “Developing a Data Analytics Toolbox for Data-Driven Product Planning: A Review and Survey Methodology.” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, vol. 38, e18, Cambridge University Press (CUP), 2024, doi:<a href=\"https://doi.org/10.1017/s0890060424000209\">10.1017/s0890060424000209</a>.","bibtex":"@article{Panzner_von Enzberg_Dumitrescu_2024, title={Developing a data analytics toolbox for data-driven product planning: a review and survey methodology}, volume={38}, DOI={<a href=\"https://doi.org/10.1017/s0890060424000209\">10.1017/s0890060424000209</a>}, number={e18}, journal={Artificial Intelligence for Engineering Design, Analysis and Manufacturing}, publisher={Cambridge University Press (CUP)}, author={Panzner, Melina and von Enzberg, Sebastian and Dumitrescu, Roman}, year={2024} }","apa":"Panzner, M., von Enzberg, S., &#38; Dumitrescu, R. (2024). Developing a data analytics toolbox for data-driven product planning: a review and survey methodology. <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, <i>38</i>, Article e18. <a href=\"https://doi.org/10.1017/s0890060424000209\">https://doi.org/10.1017/s0890060424000209</a>","ama":"Panzner M, von Enzberg S, Dumitrescu R. Developing a data analytics toolbox for data-driven product planning: a review and survey methodology. <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>. 2024;38. doi:<a href=\"https://doi.org/10.1017/s0890060424000209\">10.1017/s0890060424000209</a>","ieee":"M. Panzner, S. von Enzberg, and R. Dumitrescu, “Developing a data analytics toolbox for data-driven product planning: a review and survey methodology,” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i>, vol. 38, Art. no. e18, 2024, doi: <a href=\"https://doi.org/10.1017/s0890060424000209\">10.1017/s0890060424000209</a>.","chicago":"Panzner, Melina, Sebastian von Enzberg, and Roman Dumitrescu. “Developing a Data Analytics Toolbox for Data-Driven Product Planning: A Review and Survey Methodology.” <i>Artificial Intelligence for Engineering Design, Analysis and Manufacturing</i> 38 (2024). <a href=\"https://doi.org/10.1017/s0890060424000209\">https://doi.org/10.1017/s0890060424000209</a>."}},{"year":"2024","citation":{"ama":"Schlegel M, Just M, Pfaff F, et al. Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios. <i>Procedia CIRP</i>. 2024;128:555-560. doi:<a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">10.1016/j.procir.2024.03.036</a>","chicago":"Schlegel, Michael, Markus Just, Felix Pfaff, Ingrid Wiederkehr, Christian Koldewey, Christoph Kempf, Roman Dumitrescu, and Albert Albers. “Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios.” <i>Procedia CIRP</i> 128 (2024): 555–60. <a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">https://doi.org/10.1016/j.procir.2024.03.036</a>.","ieee":"M. Schlegel <i>et al.</i>, “Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios,” <i>Procedia CIRP</i>, vol. 128, pp. 555–560, 2024, doi: <a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">10.1016/j.procir.2024.03.036</a>.","mla":"Schlegel, Michael, et al. “Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios.” <i>Procedia CIRP</i>, vol. 128, Elsevier BV, 2024, pp. 555–60, doi:<a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">10.1016/j.procir.2024.03.036</a>.","short":"M. Schlegel, M. Just, F. Pfaff, I. Wiederkehr, C. Koldewey, C. Kempf, R. Dumitrescu, A. Albers, Procedia CIRP 128 (2024) 555–560.","bibtex":"@article{Schlegel_Just_Pfaff_Wiederkehr_Koldewey_Kempf_Dumitrescu_Albers_2024, title={Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios}, volume={128}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">10.1016/j.procir.2024.03.036</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Schlegel, Michael and Just, Markus and Pfaff, Felix and Wiederkehr, Ingrid and Koldewey, Christian and Kempf, Christoph and Dumitrescu, Roman and Albers, Albert}, year={2024}, pages={555–560} }","apa":"Schlegel, M., Just, M., Pfaff, F., Wiederkehr, I., Koldewey, C., Kempf, C., Dumitrescu, R., &#38; Albers, A. (2024). Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios. <i>Procedia CIRP</i>, <i>128</i>, 555–560. <a href=\"https://doi.org/10.1016/j.procir.2024.03.036\">https://doi.org/10.1016/j.procir.2024.03.036</a>"},"intvolume":"       128","page":"555-560","publication_status":"published","publication_identifier":{"issn":["2212-8271"]},"title":"Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios","doi":"10.1016/j.procir.2024.03.036","date_updated":"2025-01-31T14:28:08Z","publisher":"Elsevier BV","date_created":"2025-01-31T14:27:43Z","author":[{"first_name":"Michael","last_name":"Schlegel","full_name":"Schlegel, Michael"},{"last_name":"Just","full_name":"Just, Markus","first_name":"Markus"},{"full_name":"Pfaff, Felix","last_name":"Pfaff","first_name":"Felix"},{"first_name":"Ingrid","last_name":"Wiederkehr","full_name":"Wiederkehr, Ingrid","id":"38169"},{"first_name":"Christian","last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399","full_name":"Koldewey, Christian","id":"43136"},{"last_name":"Kempf","full_name":"Kempf, Christoph","first_name":"Christoph"},{"last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman","first_name":"Roman"},{"first_name":"Albert","last_name":"Albers","full_name":"Albers, Albert"}],"volume":128,"status":"public","type":"journal_article","publication":"Procedia CIRP","language":[{"iso":"eng"}],"_id":"58475","user_id":"15782","department":[{"_id":"563"}]},{"citation":{"ama":"Schreiner N, de Oliveira F, Trienens M, et al. Corporate Emission Profiles: Analyzing the 160 largest German Companies. In: <i>Proceedings R&#38;D Management Conference</i>. LibreCat University; 2024. doi:<a href=\"https://doi.org/10.24406/PUBLICA-3609\">10.24406/PUBLICA-3609</a>","chicago":"Schreiner, Nick, FM de Oliveira, Malte Trienens, Christian Kürpick, Laban Asmar, Arno Kühn, and Roman Dumitrescu. “Corporate Emission Profiles: Analyzing the 160 Largest German Companies.” In <i>Proceedings R&#38;D Management Conference</i>. LibreCat University, 2024. <a href=\"https://doi.org/10.24406/PUBLICA-3609\">https://doi.org/10.24406/PUBLICA-3609</a>.","ieee":"N. Schreiner <i>et al.</i>, “Corporate Emission Profiles: Analyzing the 160 largest German Companies,” presented at the R&#38;D Management Conference 2024, 2024, doi: <a href=\"https://doi.org/10.24406/PUBLICA-3609\">10.24406/PUBLICA-3609</a>.","bibtex":"@inproceedings{Schreiner_de Oliveira_Trienens_Kürpick_Asmar_Kühn_Dumitrescu_2024, title={Corporate Emission Profiles: Analyzing the 160 largest German Companies}, DOI={<a href=\"https://doi.org/10.24406/PUBLICA-3609\">10.24406/PUBLICA-3609</a>}, booktitle={Proceedings R&#38;D Management Conference}, publisher={LibreCat University}, author={Schreiner, Nick and de Oliveira, FM and Trienens, Malte and Kürpick, Christian and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}, year={2024} }","mla":"Schreiner, Nick, et al. “Corporate Emission Profiles: Analyzing the 160 Largest German Companies.” <i>Proceedings R&#38;D Management Conference</i>, LibreCat University, 2024, doi:<a href=\"https://doi.org/10.24406/PUBLICA-3609\">10.24406/PUBLICA-3609</a>.","short":"N. Schreiner, F. de Oliveira, M. Trienens, C. Kürpick, L. Asmar, A. Kühn, R. Dumitrescu, in: Proceedings R&#38;D Management Conference, LibreCat University, 2024.","apa":"Schreiner, N., de Oliveira, F., Trienens, M., Kürpick, C., Asmar, L., Kühn, A., &#38; Dumitrescu, R. (2024). Corporate Emission Profiles: Analyzing the 160 largest German Companies. <i>Proceedings R&#38;D Management Conference</i>. 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