[{"volume":401,"date_created":"2021-12-07T13:46:08Z","author":[{"first_name":"Lukas","full_name":"Bretz, Lukas","last_name":"Bretz"}],"date_updated":"2022-01-06T06:58:02Z","publisher":"Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn","title":"Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering","publication_identifier":{"isbn":["978-3-947647-20-0"]},"publication_status":"published","intvolume":"       401","citation":{"apa":"Bretz, L. (2021). <i>Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering</i> (Vol. 401). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.","mla":"Bretz, Lukas. <i>Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering</i>. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2021.","bibtex":"@book{Bretz_2021, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}, title={Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering}, volume={401}, publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}, author={Bretz, Lukas}, year={2021}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn} }","short":"L. Bretz, Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering, Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2021.","chicago":"Bretz, Lukas. <i>Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering</i>. Vol. 401. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2021.","ieee":"L. Bretz, <i>Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering</i>, vol. 401. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2021.","ama":"Bretz L. <i>Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based Systems Engineering</i>. Vol 401. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn; 2021."},"year":"2021","department":[{"_id":"26"}],"user_id":"60046","series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn","_id":"28374","language":[{"iso":"ger"}],"type":"dissertation","status":"public"},{"date_updated":"2022-01-06T06:57:33Z","publisher":"Elsevier","volume":100,"date_created":"2021-11-03T09:40:59Z","author":[{"first_name":"Stefan","last_name":"Gabriel","full_name":"Gabriel, Stefan"},{"first_name":"Nadine","last_name":"Niewöhner","full_name":"Niewöhner, Nadine"},{"full_name":"Asmar, Laban","last_name":"Asmar","first_name":"Laban"},{"first_name":"Arno","full_name":"Kühn, Arno","last_name":"Kühn"},{"first_name":"Roman","last_name":"Dumitrescu","id":"16190","full_name":"Dumitrescu, Roman"}],"title":"Integration of agile practices in the product development process of intelligent technical systems","publication_status":"published","year":"2021","intvolume":"       100","page":"427-432","citation":{"chicago":"Gabriel, Stefan, Nadine Niewöhner, Laban Asmar, Arno Kühn, and Roman Dumitrescu. “Integration of Agile Practices in the Product Development Process of Intelligent Technical Systems.” In <i>Procedia CIRP</i>, 100:427–32. Elsevier, 2021.","ieee":"S. Gabriel, N. Niewöhner, L. Asmar, A. Kühn, and R. Dumitrescu, “Integration of agile practices in the product development process of intelligent technical systems,” in <i>Procedia CIRP</i>, 2021, vol. 100, pp. 427–432.","ama":"Gabriel S, Niewöhner N, Asmar L, Kühn A, Dumitrescu R. Integration of agile practices in the product development process of intelligent technical systems. In: <i>Procedia CIRP</i>. Vol 100. Elsevier; 2021:427-432.","apa":"Gabriel, S., Niewöhner, N., Asmar, L., Kühn, A., &#38; Dumitrescu, R. (2021). Integration of agile practices in the product development process of intelligent technical systems. <i>Procedia CIRP</i>, <i>100</i>, 427–432.","mla":"Gabriel, Stefan, et al. “Integration of Agile Practices in the Product Development Process of Intelligent Technical Systems.” <i>Procedia CIRP</i>, vol. 100, Elsevier, 2021, pp. 427–32.","bibtex":"@inproceedings{Gabriel_Niewöhner_Asmar_Kühn_Dumitrescu_2021, title={Integration of agile practices in the product development process of intelligent technical systems}, volume={100}, booktitle={Procedia CIRP}, publisher={Elsevier}, author={Gabriel, Stefan and Niewöhner, Nadine and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}, year={2021}, pages={427–432} }","short":"S. Gabriel, N. Niewöhner, L. Asmar, A. Kühn, R. Dumitrescu, in: Procedia CIRP, Elsevier, 2021, pp. 427–432."},"_id":"27087","department":[{"_id":"563"},{"_id":"26"}],"user_id":"14931","language":[{"iso":"eng"}],"publication":"Procedia CIRP","type":"conference","status":"public"},{"publication":"Requirements Engineering: Foundation for Software Quality, REFSQ 2021","type":"conference","editor":[{"full_name":"Dalpiaz, Fabiano","last_name":"Dalpiaz","first_name":"Fabiano"},{"first_name":"Paola","full_name":"Spoletini, Paola","last_name":"Spoletini"}],"status":"public","_id":"27094","department":[{"_id":"563"},{"_id":"26"}],"user_id":"14931","language":[{"iso":"eng"}],"publication_status":"published","place":" Cham, Switzerland","year":"2021","citation":{"apa":"Wiecher, C., Greenyer, J., Wolff, C., Anacker, H., &#38; Dumitrescu, R. (2021). Iterative and Scenario-Based Requirements Specification in a System of Systems Context. In F. Dalpiaz &#38; P. Spoletini (Eds.), <i>Requirements Engineering: Foundation for Software Quality, REFSQ 2021</i>. Springer Nature Switzerland AG.","bibtex":"@inproceedings{Wiecher_Greenyer_Wolff_Anacker_Dumitrescu_2021, place={ Cham, Switzerland}, title={Iterative and Scenario-Based Requirements Specification in a System of Systems Context}, booktitle={Requirements Engineering: Foundation for Software Quality, REFSQ 2021}, publisher={Springer Nature Switzerland AG}, author={Wiecher, Carsten and Greenyer, Joel and Wolff, Carsten and Anacker, Harald and Dumitrescu, Roman}, editor={Dalpiaz, Fabiano and Spoletini, Paola}, year={2021} }","mla":"Wiecher, Carsten, et al. “Iterative and Scenario-Based Requirements Specification in a System of Systems Context.” <i>Requirements Engineering: Foundation for Software Quality, REFSQ 2021</i>, edited by Fabiano Dalpiaz and Paola Spoletini, Springer Nature Switzerland AG, 2021.","short":"C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, R. Dumitrescu, in: F. Dalpiaz, P. Spoletini (Eds.), Requirements Engineering: Foundation for Software Quality, REFSQ 2021, Springer Nature Switzerland AG,  Cham, Switzerland, 2021.","chicago":"Wiecher, Carsten, Joel Greenyer, Carsten Wolff, Harald Anacker, and Roman Dumitrescu. “Iterative and Scenario-Based Requirements Specification in a System of Systems Context.” In <i>Requirements Engineering: Foundation for Software Quality, REFSQ 2021</i>, edited by Fabiano Dalpiaz and Paola Spoletini.  Cham, Switzerland: Springer Nature Switzerland AG, 2021.","ieee":"C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, and R. Dumitrescu, “Iterative and Scenario-Based Requirements Specification in a System of Systems Context,” in <i>Requirements Engineering: Foundation for Software Quality, REFSQ 2021</i>, Essen, 2021.","ama":"Wiecher C, Greenyer J, Wolff C, Anacker H, Dumitrescu R. Iterative and Scenario-Based Requirements Specification in a System of Systems Context. In: Dalpiaz F, Spoletini P, eds. <i>Requirements Engineering: Foundation for Software Quality, REFSQ 2021</i>. Springer Nature Switzerland AG; 2021."},"date_updated":"2022-01-06T06:57:33Z","publisher":"Springer Nature Switzerland AG","author":[{"last_name":"Wiecher","full_name":"Wiecher, Carsten","first_name":"Carsten"},{"first_name":"Joel","full_name":"Greenyer, Joel","last_name":"Greenyer"},{"last_name":"Wolff","full_name":"Wolff, Carsten","first_name":"Carsten"},{"full_name":"Anacker, Harald","last_name":"Anacker","first_name":"Harald"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","id":"16190","first_name":"Roman"}],"date_created":"2021-11-03T09:52:34Z","title":"Iterative and Scenario-Based Requirements Specification in a System of Systems Context","conference":{"name":"27th International Working Conference","start_date":"2021-04-12","end_date":"2021-04-15","location":"Essen"}},{"date_updated":"2022-01-06T06:54:42Z","date_created":"2021-01-16T14:48:13Z","author":[{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818"},{"id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede","first_name":"Alexander"},{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"title":"AutoML for Multi-Label Classification: Overview and Empirical Evaluation","doi":"10.1109/tpami.2021.3051276","publication_identifier":{"issn":["0162-8828","2160-9292","1939-3539"]},"publication_status":"published","year":"2021","page":"1-1","citation":{"mla":"Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","bibtex":"@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label Classification: Overview and Empirical Evaluation}, DOI={<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever, Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke}, year={2021}, pages={1–1} }","short":"M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.","apa":"Wever, M. D., Tornede, A., Mohr, F., &#38; Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>","ieee":"M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, pp. 1–1, 2021, doi: <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>.","chicago":"Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, 2021, 1–1. <a href=\"https://doi.org/10.1109/tpami.2021.3051276\">https://doi.org/10.1109/tpami.2021.3051276</a>.","ama":"Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. Published online 2021:1-1. doi:<a href=\"https://doi.org/10.1109/tpami.2021.3051276\">10.1109/tpami.2021.3051276</a>"},"_id":"21004","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","keyword":["Automated Machine Learning","Multi Label Classification","Hierarchical Planning","Bayesian Optimization"],"language":[{"iso":"eng"}],"publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","type":"journal_article","abstract":[{"text":"Automated machine learning (AutoML) supports the algorithmic construction and data-specific customization of machine learning pipelines, including the selection, combination, and parametrization of machine learning algorithms as main constituents. Generally speaking, AutoML approaches comprise two major components: a search space model and an optimizer for traversing the space. Recent approaches have shown impressive results in the realm of supervised learning, most notably (single-label) classification (SLC). Moreover, first attempts at extending these approaches towards multi-label classification (MLC) have been made. While the space of candidate pipelines is already huge in SLC, the complexity of the search space is raised to an even higher power in MLC. One may wonder, therefore, whether and to what extent optimizers established for SLC can scale to this increased complexity, and how they compare to each other. This paper makes the following contributions: First, we survey existing approaches to AutoML for MLC. Second, we augment these approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking framework that supports a fair and systematic comparison. Fourth, we conduct an extensive experimental study, evaluating the methods on a suite of MLC problems. We find a grammar-based best-first search to compare favorably to other optimizers.","lang":"eng"}],"status":"public"},{"publication_status":"accepted","year":"2021","citation":{"mla":"Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, IEEE.","short":"F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (n.d.).","bibtex":"@article{Mohr_Wever_Tornede_Hüllermeier, title={Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, publisher={IEEE}, author={Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier, Eyke} }","apa":"Mohr, F., Wever, M. D., Tornede, A., &#38; Hüllermeier, E. (n.d.). Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.","ama":"Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.","chicago":"Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, n.d.","ieee":"F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>."},"publisher":"IEEE","date_updated":"2022-01-06T06:54:45Z","author":[{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"id":"33176","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","first_name":"Marcel Dominik"},{"first_name":"Alexander","id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"date_created":"2021-01-27T13:45:52Z","title":"Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning","type":"journal_article","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","abstract":[{"text":"Automated Machine Learning (AutoML) seeks to automatically find so-called machine learning pipelines that maximize the prediction performance when being used to train a model on a given dataset. One of the main and yet open challenges in AutoML is an effective use of computational resources: An AutoML process involves the evaluation of many candidate pipelines, which   are costly but often ineffective because they are canceled due to a timeout.\r\nIn this paper, we present an approach to predict the runtime of two-step machine learning pipelines with up to one pre-processor, which can be used to anticipate whether or not a pipeline will time out. Separate runtime models are trained offline for each algorithm that may be used in a pipeline, and an overall prediction is derived from these models. We empirically show that the approach increases successful evaluations made by an AutoML tool while preserving or even improving on the previously best solutions.","lang":"eng"}],"status":"public","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"21092","user_id":"5786","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"language":[{"iso":"eng"}]},{"status":"public","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","_id":"21570","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"apa":"Tornede, T., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. Genetic and Evolutionary Computation Conference.","bibtex":"@inproceedings{Tornede_Tornede_Wever_Hüllermeier_2021, title={Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021} }","short":"T. Tornede, A. Tornede, M.D. Wever, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021.","mla":"Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021.","ieee":"T. Tornede, A. Tornede, M. D. Wever, and E. Hüllermeier, “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance,” presented at the Genetic and Evolutionary Computation Conference, 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021.","ama":"Tornede T, Tornede A, Wever MD, Hüllermeier E. Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. ; 2021."},"year":"2021","conference":{"end_date":"2021-07-14","name":"Genetic and Evolutionary Computation Conference","start_date":"2021-07-10"},"title":"Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance","date_created":"2021-03-26T09:14:19Z","author":[{"last_name":"Tornede","id":"40795","full_name":"Tornede, Tanja","first_name":"Tanja"},{"last_name":"Tornede","id":"38209","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","full_name":"Wever, Marcel Dominik","id":"33176"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_updated":"2022-01-06T06:55:06Z"},{"year":"2021","citation":{"short":"R. Dumitrescu, A. Albers, J. Gausemeier, O. Riedel, R. Stark, Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering, Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn, 2021.","bibtex":"@book{Dumitrescu_Albers_Gausemeier_Riedel_Stark_2021, title={Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering}, publisher={Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn}, author={Dumitrescu, Roman and Albers, Albert and Gausemeier, Jürgen and Riedel, Oliver and Stark, Rainer}, year={2021} }","mla":"Dumitrescu, Roman, et al. <i>Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering</i>. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn, 2021.","apa":"Dumitrescu, R., Albers, A., Gausemeier, J., Riedel, O., &#38; Stark, R. (2021). <i>Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering</i>. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn.","ama":"Dumitrescu R, Albers A, Gausemeier J, Riedel O, Stark R. <i>Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering</i>. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn; 2021.","ieee":"R. Dumitrescu, A. Albers, J. Gausemeier, O. Riedel, and R. Stark, <i>Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering</i>. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn, 2021.","chicago":"Dumitrescu, Roman, Albert Albers, Jürgen Gausemeier, Oliver Riedel, and Rainer Stark. <i>Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering</i>. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn, 2021."},"publication_status":"published","title":"Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering","date_updated":"2022-01-06T06:55:55Z","publisher":"Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn","author":[{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"},{"full_name":"Albers, Albert","last_name":"Albers","first_name":"Albert"},{"first_name":"Jürgen","full_name":"Gausemeier, Jürgen","id":"163","last_name":"Gausemeier"},{"full_name":"Riedel, Oliver","last_name":"Riedel","first_name":"Oliver"},{"first_name":"Rainer","full_name":"Stark, Rainer","last_name":"Stark"}],"date_created":"2021-08-20T08:12:46Z","status":"public","type":"book","language":[{"iso":"ger"}],"_id":"23458","department":[{"_id":"563"},{"_id":"26"}],"user_id":"15782"},{"quality_controlled":"1","year":"2021","citation":{"ama":"Hüllermeier E, Mohr F, Tornede A, Wever MD. Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. In: ; 2021.","chicago":"Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever. “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” 2021.","ieee":"E. Hüllermeier, F. Mohr, A. Tornede, and M. D. Wever, “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” presented at the ECML/PKDD Workshop on Automating Data Science, Bilbao (Virtual), 2021.","apa":"Hüllermeier, E., Mohr, F., Tornede, A., &#38; Wever, M. D. (2021). <i>Automated Machine Learning, Bounded Rationality, and Rational Metareasoning</i>. ECML/PKDD Workshop on Automating Data Science, Bilbao (Virtual).","bibtex":"@inproceedings{Hüllermeier_Mohr_Tornede_Wever_2021, title={Automated Machine Learning, Bounded Rationality, and Rational Metareasoning}, author={Hüllermeier, Eyke and Mohr, Felix and Tornede, Alexander and Wever, Marcel Dominik}, year={2021} }","short":"E. Hüllermeier, F. Mohr, A. Tornede, M.D. Wever, in: 2021.","mla":"Hüllermeier, Eyke, et al. <i>Automated Machine Learning, Bounded Rationality, and Rational Metareasoning</i>. 2021."},"date_updated":"2022-01-06T06:55:43Z","author":[{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129","first_name":"Eyke"},{"first_name":"Felix","last_name":"Mohr","full_name":"Mohr, Felix"},{"first_name":"Alexander","last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209"},{"orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik"}],"date_created":"2021-08-02T07:46:29Z","title":"Automated Machine Learning, Bounded Rationality, and Rational Metareasoning","conference":{"location":"Bilbao (Virtual)","end_date":"2021-09-17","start_date":"2021-09-13","name":"ECML/PKDD Workshop on Automating Data Science"},"type":"conference","status":"public","_id":"22913","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","language":[{"iso":"eng"}]},{"date_updated":"2022-01-06T06:55:43Z","author":[{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176","full_name":"Wever, Marcel Dominik"}],"date_created":"2021-08-02T07:48:07Z","title":"Replacing the Ex-Def Baseline in AutoML by Naive AutoML","conference":{"location":"Virtual","end_date":"2021-07-23","start_date":"2021-07-23","name":"8th ICML Workshop on Automated Machine Learning"},"year":"2021","citation":{"ama":"Mohr F, Wever MD. Replacing the Ex-Def Baseline in AutoML by Naive AutoML. In: ; 2021.","chicago":"Mohr, Felix, and Marcel Dominik Wever. “Replacing the Ex-Def Baseline in AutoML by Naive AutoML,” 2021.","ieee":"F. Mohr and M. D. Wever, “Replacing the Ex-Def Baseline in AutoML by Naive AutoML,” presented at the 8th ICML Workshop on Automated Machine Learning, Virtual, 2021.","mla":"Mohr, Felix, and Marcel Dominik Wever. <i>Replacing the Ex-Def Baseline in AutoML by Naive AutoML</i>. 2021.","bibtex":"@inproceedings{Mohr_Wever_2021, title={Replacing the Ex-Def Baseline in AutoML by Naive AutoML}, author={Mohr, Felix and Wever, Marcel Dominik}, year={2021} }","short":"F. Mohr, M.D. Wever, in: 2021.","apa":"Mohr, F., &#38; Wever, M. D. (2021). <i>Replacing the Ex-Def Baseline in AutoML by Naive AutoML</i>. 8th ICML Workshop on Automated Machine Learning, Virtual."},"_id":"22914","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","language":[{"iso":"eng"}],"type":"conference","status":"public"},{"publication":"arXiv:2111.05850","type":"preprint","status":"public","abstract":[{"text":"Automated machine learning (AutoML) strives for the automatic configuration\r\nof machine learning algorithms and their composition into an overall (software)\r\nsolution - a machine learning pipeline - tailored to the learning task\r\n(dataset) at hand. Over the last decade, AutoML has developed into an\r\nindependent research field with hundreds of contributions. While AutoML offers\r\nmany prospects, it is also known to be quite resource-intensive, which is one\r\nof its major points of criticism. The primary cause for a high resource\r\nconsumption is that many approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines while searching for good candidates. This problem is\r\namplified in the context of research on AutoML methods, due to large scale\r\nexperiments conducted with many datasets and approaches, each of them being run\r\nwith several repetitions to rule out random effects. In the spirit of recent\r\nwork on Green AI, this paper is written in an attempt to raise the awareness of\r\nAutoML researchers for the problem and to elaborate on possible remedies. To\r\nthis end, we identify four categories of actions the community may take towards\r\nmore sustainable research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking, transparency and research incentives.","lang":"eng"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"user_id":"38209","external_id":{"arxiv":["2111.05850"]},"_id":"30866","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - B2: SFB 901 - Subproject B2"}],"language":[{"iso":"eng"}],"citation":{"ama":"Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards Green Automated Machine Learning: Status Quo and Future Directions. <i>arXiv:211105850</i>. Published online 2021.","ieee":"T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier, “Towards Green Automated Machine Learning: Status Quo and Future Directions,” <i>arXiv:2111.05850</i>. 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","apa":"Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., &#38; Hüllermeier, E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions. In <i>arXiv:2111.05850</i>.","bibtex":"@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850}, author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }","short":"T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).","mla":"Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021."},"year":"2021","date_created":"2022-04-12T11:57:15Z","author":[{"id":"40795","full_name":"Tornede, Tanja","last_name":"Tornede","first_name":"Tanja"},{"full_name":"Tornede, Alexander","id":"38209","last_name":"Tornede","first_name":"Alexander"},{"full_name":"Hanselle, Jonas Manuel","id":"43980","orcid":"0000-0002-1231-4985","last_name":"Hanselle","first_name":"Jonas Manuel"},{"full_name":"Wever, Marcel Dominik","id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik"},{"first_name":"Felix","last_name":"Mohr","full_name":"Mohr, Felix"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"date_updated":"2022-04-12T12:01:23Z","title":"Towards Green Automated Machine Learning: Status Quo and Future Directions"},{"language":[{"iso":"eng"}],"user_id":"38209","series_title":"PAKDD","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"21198","status":"public","type":"conference","conference":{"end_date":"2021-05-14","location":"Delhi, India","name":"The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)","start_date":"2021-05-11"},"title":"Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data","author":[{"first_name":"Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"first_name":"Alexander","last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209"},{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818"},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"}],"date_created":"2021-02-09T09:30:14Z","date_updated":"2022-08-24T12:49:06Z","citation":{"apa":"Hanselle, J. M., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.","mla":"Hanselle, Jonas Manuel, et al. <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. 2021.","bibtex":"@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021.","chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” 2021."},"year":"2021"},{"_id":"27778","user_id":"44428","department":[{"_id":"63"},{"_id":"26"}],"language":[{"iso":"eng"}],"type":"preprint","publication":"arXiv:2108.02109","abstract":[{"text":"Consider a set of jobs connected to a directed acyclic task graph with a\r\nfixed source and sink. The edges of this graph model precedence constraints and\r\nthe jobs have to be scheduled with respect to those. We introduce the Server\r\nCloud Scheduling problem, in which the jobs have to be processed either on a\r\nsingle local machine or on one of many cloud machines. Both the source and the\r\nsink have to be scheduled on the local machine. For each job, processing times\r\nboth on the server and in the cloud are given. Furthermore, for each edge in\r\nthe task graph, a communication delay is included in the input and has to be\r\ntaken into account if one of the two jobs is scheduled on the server, the other\r\nin the cloud. The server can process jobs sequentially, whereas the cloud can\r\nserve as many as needed in parallel, but induces costs. We consider both\r\nmakespan and cost minimization. The main results are an FPTAS with respect for\r\nthe makespan objective for a fairly general case and strong hardness for the\r\ncase with unit processing times and delays.","lang":"eng"}],"status":"public","date_updated":"2022-09-27T15:03:19Z","author":[{"last_name":"Maack","full_name":"Maack, Marten","id":"88252","first_name":"Marten"},{"last_name":"Meyer auf der Heide","id":"15523","full_name":"Meyer auf der Heide, Friedhelm","first_name":"Friedhelm"},{"last_name":"Pukrop","id":"44428","full_name":"Pukrop, Simon","first_name":"Simon"}],"date_created":"2021-11-24T13:23:58Z","title":"Full Version -- Server Cloud Scheduling","year":"2021","citation":{"chicago":"Maack, Marten, Friedhelm Meyer auf der Heide, and Simon Pukrop. “Full Version -- Server Cloud Scheduling.” <i>ArXiv:2108.02109</i>, 2021.","ieee":"M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Full Version -- Server Cloud Scheduling,” <i>arXiv:2108.02109</i>. 2021.","ama":"Maack M, Meyer auf der Heide F, Pukrop S. Full Version -- Server Cloud Scheduling. <i>arXiv:210802109</i>. Published online 2021.","short":"M. Maack, F. Meyer auf der Heide, S. Pukrop, ArXiv:2108.02109 (2021).","mla":"Maack, Marten, et al. “Full Version -- Server Cloud Scheduling.” <i>ArXiv:2108.02109</i>, 2021.","bibtex":"@article{Maack_Meyer auf der Heide_Pukrop_2021, title={Full Version -- Server Cloud Scheduling}, journal={arXiv:2108.02109}, author={Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}, year={2021} }","apa":"Maack, M., Meyer auf der Heide, F., &#38; Pukrop, S. (2021). Full Version -- Server Cloud Scheduling. In <i>arXiv:2108.02109</i>."}},{"language":[{"iso":"eng"}],"department":[{"_id":"26"}],"user_id":"5786","series_title":"HNI-Verlagsschriftreihe","_id":"52665","status":"public","type":"dissertation","title":"Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische Systeme ","volume":"Band 403","date_created":"2024-03-20T10:07:10Z","author":[{"first_name":"Michael","id":"83856","full_name":"Hillebrand, Michael","last_name":"Hillebrand"}],"date_updated":"2024-04-02T09:47:42Z","citation":{"chicago":"Hillebrand, Michael. <i>Entwicklungssystematik Zur Integration von Eigenschaften Der Selbstheilung in Intelligente Technische Systeme </i>. Vol. Band 403. HNI-Verlagsschriftreihe, 2021.","ieee":"M. Hillebrand, <i>Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische Systeme </i>, vol. Band 403. 2021.","ama":"Hillebrand M. <i>Entwicklungssystematik Zur Integration von Eigenschaften Der Selbstheilung in Intelligente Technische Systeme </i>. Vol Band 403.; 2021.","apa":"Hillebrand, M. (2021). <i>Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische Systeme : Vol. Band 403</i>.","mla":"Hillebrand, Michael. <i>Entwicklungssystematik Zur Integration von Eigenschaften Der Selbstheilung in Intelligente Technische Systeme </i>. 2021.","bibtex":"@book{Hillebrand_2021, series={HNI-Verlagsschriftreihe}, title={Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische Systeme }, volume={Band 403}, author={Hillebrand, Michael}, year={2021}, collection={HNI-Verlagsschriftreihe} }","short":"M. Hillebrand, Entwicklungssystematik Zur Integration von Eigenschaften Der Selbstheilung in Intelligente Technische Systeme , 2021."},"year":"2021","publication_identifier":{"isbn":["978-3-947647-22-4"]}},{"series_title":"HNI-Verlagsschriftreihe","user_id":"5786","department":[{"_id":"26"}],"_id":"52664","language":[{"iso":"eng"}],"type":"dissertation","status":"public","author":[{"first_name":"Liang","last_name":"Wu","id":"30401","full_name":"Wu, Liang"}],"date_created":"2024-03-20T09:53:23Z","volume":402,"date_updated":"2024-04-02T09:47:49Z","title":"Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter Abtastung","publication_identifier":{"isbn":["978-3-947647-21-7"]},"citation":{"ama":"Wu L. <i>Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler Mit Zeitversetzter Abtastung</i>. Vol 402.; 2021.","chicago":"Wu, Liang. <i>Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler Mit Zeitversetzter Abtastung</i>. Vol. 402. HNI-Verlagsschriftreihe, 2021.","ieee":"L. Wu, <i>Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter Abtastung</i>, vol. 402. 2021.","mla":"Wu, Liang. <i>Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler Mit Zeitversetzter Abtastung</i>. 2021.","bibtex":"@book{Wu_2021, series={HNI-Verlagsschriftreihe}, title={Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter Abtastung}, volume={402}, author={Wu, Liang}, year={2021}, collection={HNI-Verlagsschriftreihe} }","short":"L. Wu, Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler Mit Zeitversetzter Abtastung, 2021.","apa":"Wu, L. (2021). <i>Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter Abtastung</i> (Vol. 402)."},"intvolume":"       402","year":"2021"},{"type":"dissertation","status":"public","department":[{"_id":"563"},{"_id":"26"}],"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","user_id":"1112","_id":"23379","file_date_updated":"2021-08-20T18:35:06Z","publication_identifier":{"isbn":["978-3-947647-18-7"]},"has_accepted_license":"1","publication_status":"epub_ahead","intvolume":"       399","page":"4, 217, A-41","jel":["O32"],"citation":{"chicago":"Koldewey, Christian. <i>Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe</i>. Vol. 399. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1167\">https://doi.org/10.17619/UNIPB/1-1167</a>.","ieee":"C. Koldewey, <i>Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe</i>, vol. 399. Paderborn, 2021, pp. 4, 217, A-41.","ama":"Koldewey C. <i>Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe</i>. Vol 399.; 2021:4, 217, A-41. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1167\">10.17619/UNIPB/1-1167</a>","bibtex":"@book{Koldewey_2021, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe}, volume={399}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1167\">10.17619/UNIPB/1-1167</a>}, author={Koldewey, Christian}, year={2021}, pages={4, 217, A-41}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","short":"C. Koldewey, Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe, Paderborn, 2021.","mla":"Koldewey, Christian. <i>Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe</i>. 2021, pp. 4, 217, A-41, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1167\">10.17619/UNIPB/1-1167</a>.","apa":"Koldewey, C. (2021). <i>Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe</i> (Vol. 399, pp. 4, 217, A-41). <a href=\"https://doi.org/10.17619/UNIPB/1-1167\">https://doi.org/10.17619/UNIPB/1-1167</a>"},"place":"Paderborn","volume":399,"author":[{"last_name":"Koldewey","orcid":"https://orcid.org/0000-0001-7992-6399","id":"43136","full_name":"Koldewey, Christian","first_name":"Christian"}],"supervisor":[{"first_name":"Jürgen","last_name":"Gausemeier","full_name":"Gausemeier, Jürgen"},{"first_name":"Rainer","full_name":"Stark, Rainer","last_name":"Stark"}],"date_updated":"2024-07-12T12:05:50Z","doi":"10.17619/UNIPB/1-1167","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":47059853,"access_level":"closed","file_id":"23461","file_name":"Dissertation_Christian_Koldewey(1).pdf","date_updated":"2021-08-20T18:35:06Z","creator":"koldewey","date_created":"2021-08-20T18:35:06Z"}],"abstract":[{"text":"Mit der zunehmenden Bedeutung von digitalen Lösungen und innovativen Dienstleistungen geht eine signifikante Transformation des produzierenden Gewerbes einher. Die Digitalisierung führt zu intelligenten Produkten, die Daten generieren und über das Internet austauschen. Auf Basis dieser Daten können Produkthersteller gänzlich neue digitale Dienstleistungen anbieten, sogenannte Smart Services. Ihre erfolgreiche Umsetzung ist essentiell, um in der Wettbewerbsarena der Zukunft bestehen zu können. Die Gestaltung eines Smart Service-Geschäfts ist jedoch nicht trivial. Ziel der vorliegenden Arbeit ist eine Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe. Die Systematik besteht aus drei Bestandteilen: der Erste ist die Konzeption von Smart Service-Strategien im Sinne eines Referenzmodells. Sie definiert die auszugestaltenden Aspekte. Der Zweite ist das Gestaltungswissen. Es werden Normstrategien und Funktionalitäten im Kontext von Smart Services für die Strategieentwicklung bereitgestellt. Die Strategieentwicklung wird im dritten Bestandteil adressiert, einer Methode bestehend aus einem Vorgehensmodell und unterstützenden Hilfsmitteln. Das Vorgehensmodell orchestriert den Einsatz der Hilfsmittel und des Gestaltungswissens. Resultat ist eine Smart Service-Strategie, die die Vision für das Smart Service-Geschäft sowie den Weg zu deren Realisierung darstellt. Die Systematik wurde anhand eines Unternehmens des Sondermaschinenbaus erfolgreich validiert.","lang":"ger"},{"text":"The increasing importance of digital solutions and innovative services is accompanied by a significant transformation of manufacturing. Digitalization leads to intelligent products that generate data and exchange them via the internet. Based on these data, product manufacturers can offer completely new digital services, so-called smart services. Their successful implementation is essential in order to survive in the competitive arena of the future. However, the design of a smart service-business is not trivial.The goal of this dissertation is a procedure for the development of smart service-strategies in manufacturing. It consists of three components: the first one is the conceptualization of smart service-strategies in the sense of a reference model. It defines the aspects to be determined during strategy development. The second component is design knowledge. It provides standard strategies and functionalities in the context of smart services for the development of the strategy. This is done using the third component, a method consisting of a process model and corresponding tools. The process model orchestrates the use of the tools and the design knowledge. The result is a smart service-strategy, which includes the vision for the smart service-business and the way to its realization. The procedure was successfully validated by means of a company in the field of special-purpose machine construction.","lang":"eng"}],"language":[{"iso":"ger"}],"keyword":["Smart Service","Strategie"],"ddc":["650"],"year":"2021","date_created":"2021-08-09T15:45:09Z","title":"Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe"},{"type":"conference_editor","status":"public","editor":[{"id":"163","full_name":"Gausemeier, Jürgen","last_name":"Gausemeier","first_name":"Jürgen"},{"last_name":"Bauer","full_name":"Bauer, Wilhelm","first_name":"Wilhelm"},{"first_name":"Roman","id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu"}],"department":[{"_id":"563"},{"_id":"26"}],"user_id":"1112","_id":"27519","language":[{"iso":"ger"}],"publication_status":"published","citation":{"apa":"Gausemeier, J., Bauer, W., &#38; Dumitrescu, R. (Eds.). (2021). <i>Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung: Vol. Band 400</i>. Heinz Nixdorf Institut, Universität Paderborn.","short":"J. Gausemeier, W. Bauer, R. Dumitrescu, eds., Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2021.","bibtex":"@book{Gausemeier_Bauer_Dumitrescu_2021, place={Paderborn}, title={Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung}, volume={Band 400}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, year={2021} }","mla":"Gausemeier, Jürgen, et al., editors. <i>Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung</i>. Heinz Nixdorf Institut, Universität Paderborn, 2021.","ama":"Gausemeier J, Bauer W, Dumitrescu R, eds. <i>Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung</i>. Vol Band 400. Heinz Nixdorf Institut, Universität Paderborn; 2021.","chicago":"Gausemeier, Jürgen, Wilhelm Bauer, and Roman Dumitrescu, eds. <i>Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung</i>. Vol. Band 400. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.","ieee":"J. Gausemeier, W. Bauer, and R. Dumitrescu, Eds., <i>Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung</i>, vol. Band 400. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021."},"place":"Paderborn","year":"2021","volume":"Band 400","date_created":"2021-11-17T10:49:13Z","date_updated":"2024-07-12T12:06:11Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","title":"Vorausschau und Technologieplanung - 16. 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