[{"publication_status":"published","user_id":"83781","title":"Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems","citation":{"bjps":"Sehr P et al. (2022) Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE.","mla":"Sehr, Philip, et al. “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems.” 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022, https://doi.org/10.1109/ETFA52439.2022.9921676.","din1505-2-1":"Sehr, Philip ; Moriz, Natalia ; Heinz-Jakobs, Mario ; Trsek, Henning: Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ : IEEE, 2022","havard":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems, in: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2022.","ieee":"P. Sehr, N. Moriz, M. Heinz-Jakobs, and H. Trsek, “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems,” presented at the 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022. doi: 10.1109/ETFA52439.2022.9921676.","ufg":"Sehr, Philip u. a.: Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems, in: o. Hg.: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, NJ 2022.","short":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, in: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2022.","van":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE; 2022.","apa":"Sehr, P., Moriz, N., Heinz-Jakobs, M., & Trsek, H. (2022). Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921676","chicago-de":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs und Henning Trsek. 2022. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE. doi:10.1109/ETFA52439.2022.9921676, .","ama":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2022. doi:10.1109/ETFA52439.2022.9921676","chicago":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs, and Henning Trsek. “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems.” In 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE, 2022. https://doi.org/10.1109/ETFA52439.2022.9921676."},"place":"Piscataway, NJ","type":"conference","author":[{"full_name":"Sehr, Philip","id":"71582","first_name":"Philip","last_name":"Sehr"},{"last_name":"Moriz","first_name":"Natalia","full_name":"Moriz, Natalia","id":"44238"},{"id":"85220","full_name":"Heinz-Jakobs, Mario","first_name":"Mario","last_name":"Heinz-Jakobs"},{"last_name":"Trsek","orcid":"0000-0002-0133-0656","first_name":"Henning","id":"1486","full_name":"Trsek, Henning"}],"year":"2022","abstract":[{"text":"n order to utilize the full potential of an assembly assistant, it is necessary for the system to be able to adapt to the worker’s individual needs and capabilities. The required amount of necessary assistance changes during the assembly work because the worker memorizes the steps and learns the task and might be bothered by unnecessary assistance. Finding the point in time where the learning phase of the worker is finished is therefore an important aspect. In this work, we propose and evaluate a novel method to identify the end of the worker’s learning phase. The method makes use of learning curve models and curve fitting in order to determine the progress of the worker.","lang":"eng"}],"publication_identifier":{"isbn":["9781665499965"]},"doi":"10.1109/ETFA52439.2022.9921676","publisher":"IEEE","status":"public","publication":"2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","department":[{"_id":"DEP5023"}],"conference":{"start_date":"2022-09-06","end_date":"2022-09-09","location":"Stuttgart","name":"27th International Conference on Emerging Technologies and Factory Automation (ETFA)"},"language":[{"iso":"eng"}],"_id":"11166","date_created":"2024-03-01T14:36:35Z","date_updated":"2024-03-05T14:09:00Z"},{"date_updated":"2024-03-05T15:22:36Z","issue":"2399","_id":"11161","language":[{"iso":"eng"}],"date_created":"2024-03-01T14:35:21Z","department":[{"_id":"DEP5023"}],"conference":{"end_date":"2022-06-29","start_date":"2022-06-28","name":"23. Leitkongress der Mess- und Automatisierungstechnik : automation creates sustainability","location":"Baden-Baden"},"series_title":"VDI-Berichte","status":"public","publication":" Automation 2022","page":"219-230","publication_identifier":{"isbn":["978-3-18-092399-4 "],"eisbn":["978-3-18-102399-0"]},"year":"2022","publisher":"VDI Verlag GmbH ","author":[{"id":"10880","full_name":"Mankowski, Andre","last_name":"Mankowski","first_name":"Andre"},{"id":"73788","full_name":"Antonow, Daniel","last_name":"Antonow","first_name":"Daniel"},{"last_name":"Moriz","first_name":"Natalia","id":"44238","full_name":"Moriz, Natalia"},{"first_name":"Henning","orcid":"0000-0002-0133-0656","last_name":"Trsek","full_name":"Trsek, Henning","id":"1486"}],"place":"Düsseldorf","citation":{"havard":"A. Mankowski, D. Antonow, N. Moriz, H. Trsek, Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS), in: Automation 2022, VDI Verlag GmbH , Düsseldorf, 2022: pp. 219–230.","bjps":"Mankowski A et al. (2022) Kognitive Automations-Architektur Für Cyber-Physische-Produktionssysteme (CPPS). Automation 2022. Düsseldorf: VDI Verlag GmbH , pp. 219–230.","ieee":"A. Mankowski, D. Antonow, N. Moriz, and H. Trsek, “Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS),” in Automation 2022, Baden-Baden, 2022, no. 2399, pp. 219–230.","short":"A. Mankowski, D. Antonow, N. Moriz, H. Trsek, in: Automation 2022, VDI Verlag GmbH , Düsseldorf, 2022, pp. 219–230.","ama":"Mankowski A, Antonow D, Moriz N, Trsek H. Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS). In: Automation 2022. VDI-Berichte. VDI Verlag GmbH ; 2022:219-230.","apa":"Mankowski, A., Antonow, D., Moriz, N., & Trsek, H. (2022). Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS). Automation 2022, 2399, 219–230.","mla":"Mankowski, Andre, et al. “Kognitive Automations-Architektur Für Cyber-Physische-Produktionssysteme (CPPS).” Automation 2022, no. 2399, VDI Verlag GmbH , 2022, pp. 219–30.","din1505-2-1":"Mankowski, Andre ; Antonow, Daniel ; Moriz, Natalia ; Trsek, Henning: Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS). In: Automation 2022, VDI-Berichte. Düsseldorf : VDI Verlag GmbH , 2022, S. 219–230","van":"Mankowski A, Antonow D, Moriz N, Trsek H. Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS). In: Automation 2022. Düsseldorf: VDI Verlag GmbH ; 2022. p. 219–30. (VDI-Berichte).","ufg":"Mankowski, Andre u. a.: Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS), in: o. Hg.: Automation 2022, Düsseldorf 2022 (VDI-Berichte),  S. 219–230.","chicago":"Mankowski, Andre, Daniel Antonow, Natalia Moriz, and Henning Trsek. “Kognitive Automations-Architektur Für Cyber-Physische-Produktionssysteme (CPPS).” In Automation 2022, 219–30. VDI-Berichte. Düsseldorf: VDI Verlag GmbH , 2022.","chicago-de":"Mankowski, Andre, Daniel Antonow, Natalia Moriz und Henning Trsek. 2022. Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS). In: Automation 2022, 219–230. VDI-Berichte. Düsseldorf: VDI Verlag GmbH ."},"type":"conference","publication_status":"published","user_id":"83781","title":"Kognitive Automations-Architektur für Cyber-Physische-Produktionssysteme (CPPS)"},{"external_id":{"isi":["000726007200001"]},"date_created":"2021-11-30T12:39:27Z","issue":"6","_id":"6839","language":[{"iso":"eng"}],"intvolume":" 29","keyword":["Beverage pasteurization","heat impact control","prediction outlier elimination"],"date_updated":"2025-06-26T13:35:56Z","department":[{"_id":"DEP5023"},{"_id":"DEP4028"}],"abstract":[{"text":"Pasteurization is a crucial processing method in the food industry to ensure the safety of consumables. A major part of contemporary pasteurization processes involves using flash pasteurizer systems, where liquids are pumped through a pipe system to heat them for a predefined time. Accurately monitoring the amount of heat treatment applied to a product is challenging. This monitoring helps ensure that the correct heat impact (expressed in pasteurization units) is applied, which is commonly calculated as a product of time and temperature, taking achievability of the inactivation of the microorganisms into account. The state-of-the-art method involves a calculation of the applied pasteurization units using a one-point temperature measurement and the holding time for this temperature. Concerns about accuracy lead to high safety margins, reducing the quality of the pasteurized product. In this study, the applied pasteurization level was estimated using regression models trained with NIR spectroscopy data collected while pasteurizing fruit juices of different types and brands. Several conventional regression models were trained in combination with different preprocessing methods, including a novel prediction outlier detection method. Generalized juice models trained with the concatenated data of all types of juices demonstrated cross-validated scores of RMSECV ∼2.78 ± 0.09 and r2 0.96 ± 0.01, while separate juice models displayed averaged cross-validated scores of RMSECV ∼1.56 ± 0.04 and r2 0.98 ± 0.01. Thus, the model accuracy ±10–30 % is well within the standard safety margins. ","lang":"eng"}],"doi":"10.1177/09670335211057233","year":"2021","publication_identifier":{"eissn":["1751-6552"],"issn":["0967-0335"]},"publisher":"Sage Publishing","page":"339-351","status":"public","publication":"Journal of Near Infrared Spectroscopy","title":"Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy","publication_status":"published","user_id":"83781","author":[{"last_name":"Sürmeli","first_name":"Baris Gün","id":"73806","full_name":"Sürmeli, Baris Gün"},{"last_name":"Weishaupt","first_name":"Imke","id":"58425","full_name":"Weishaupt, Imke"},{"full_name":"Schwarzer, Knut","id":"13329","last_name":"Schwarzer","first_name":"Knut"},{"full_name":"Moriz, Natalia","id":"44238","last_name":"Moriz","first_name":"Natalia"},{"orcid":"0000-0001-6401-8873","last_name":"Schneider","first_name":"Jan","full_name":"Schneider, Jan","id":"13209"}],"type":"journal_article","citation":{"din1505-2-1":"Sürmeli, Baris Gün ; Weishaupt, Imke ; Schwarzer, Knut ; Moriz, Natalia ; Schneider, Jan: Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy. In: Journal of Near Infrared Spectroscopy Bd. 29, Sage Publishing (2021), Nr. 6, S. 339–351","bjps":"Sürmeli BG et al. (2021) Heat Impact Control in Flash Pasteurization by Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy. Journal of Near Infrared Spectroscopy 29, 339–351.","mla":"Sürmeli, Baris Gün, et al. “Heat Impact Control in Flash Pasteurization by Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.” Journal of Near Infrared Spectroscopy, vol. 29, no. 6, 2021, pp. 339–51, https://doi.org/10.1177/09670335211057233.","havard":"B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy, Journal of Near Infrared Spectroscopy. 29 (2021) 339–351.","ieee":"B. G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, and J. Schneider, “Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy,” Journal of Near Infrared Spectroscopy, vol. 29, no. 6, pp. 339–351, 2021, doi: 10.1177/09670335211057233.","ufg":"Sürmeli, Baris Gün u. a.: Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy, in: Journal of Near Infrared Spectroscopy 29 (2021), H. 6,  S. 339–351.","short":"B.G. Sürmeli, I. Weishaupt, K. Schwarzer, N. Moriz, J. Schneider, Journal of Near Infrared Spectroscopy 29 (2021) 339–351.","van":"Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339–51.","chicago-de":"Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz und Jan Schneider. 2021. Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy 29, Nr. 6: 339–351. doi:10.1177/09670335211057233, .","apa":"Sürmeli, B. G., Weishaupt, I., Schwarzer, K., Moriz, N., & Schneider, J. (2021). Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 29(6), 339–351. https://doi.org/10.1177/09670335211057233","chicago":"Sürmeli, Baris Gün, Imke Weishaupt, Knut Schwarzer, Natalia Moriz, and Jan Schneider. “Heat Impact Control in Flash Pasteurization by Estimation of Applied Pasteurization Units Using near Infrared Spectroscopy.” Journal of Near Infrared Spectroscopy 29, no. 6 (2021): 339–51. https://doi.org/10.1177/09670335211057233.","ama":"Sürmeli BG, Weishaupt I, Schwarzer K, Moriz N, Schneider J. Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy. Journal of Near Infrared Spectroscopy. 2021;29(6):339-351. doi:10.1177/09670335211057233"},"volume":29,"isi":"1"},{"date_created":"2024-03-01T14:28:38Z","issue":"16","_id":"11155","language":[{"iso":"eng"}],"date_updated":"2024-03-05T14:28:47Z","related_material":{"link":[{"url":"https://www.wiso-net.de/dosearch?_searchOnlyInAbstractField=&_searchOnlyInTitleField=&explicitSearch=true&q=Neue+objektbasierte+I4.0-Maschinenarchitektur&x=73&y=6&dbShortcut=%3A3%3AALLEQUELLEN&searchMask=5461&TI%2CUT%2CDZ%2CBT%2COT%2CSL=&NN%2CAU%2CMM%2CZ2=&CO%2CC2%2CTA%2CKA%2CVA%2CZ1=&CT%2CZ4%2CKW=&BR%2CGW%2CN1%2CN2%2CNC%2CND%2CSC%2CWZ%2CZ5%2CAI%2CBC%2CKN%2CTN%2CVN%2CK0%2CB4%2CNW%2CVH=&Z3%2CCN%2CCE%2CKC%2CTC%2CVC=&SPRACHE-GENERATED=&DT_from=&DT_to=&timeFilterType=selected&timeFilter=NONE#","relation":"confirmation"}]},"department":[{"_id":"DEP5023"}],"publisher":"Verl. Moderne Industrie","year":"2021","publication_identifier":{"issn":["0344-6166"]},"page":"19","publication":"Produktion : Technik und Wirtschaft für die deutsche Industrie ","status":"public","title":"Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur","user_id":"83781","publication_status":"published","author":[{"first_name":"Andre","last_name":"Mankowski","full_name":"Mankowski, Andre","id":"10880"},{"last_name":"Priss","first_name":"Philip","full_name":"Priss, Philip","id":"56901"},{"full_name":"Suton, Jana","last_name":"Suton","first_name":"Jana"},{"full_name":"Moriz, Natalia","id":"44238","first_name":"Natalia","last_name":"Moriz"},{"full_name":"Trsek, Henning","id":"1486","first_name":"Henning","orcid":"0000-0002-0133-0656","last_name":"Trsek"}],"place":"Landsberg","type":"scientific_journal_article","citation":{"ama":"Mankowski A, Priss P, Suton J, Moriz N, Trsek H. Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur. Produktion : Technik und Wirtschaft für die deutsche Industrie . 2021;(16):19.","apa":"Mankowski, A., Priss, P., Suton, J., Moriz, N., & Trsek, H. (2021). Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur. Produktion : Technik Und Wirtschaft Für Die Deutsche Industrie , 16, 19.","short":"A. Mankowski, P. Priss, J. Suton, N. Moriz, H. Trsek, Produktion : Technik Und Wirtschaft Für Die Deutsche Industrie (2021) 19.","ieee":"A. Mankowski, P. Priss, J. Suton, N. Moriz, and H. Trsek, “Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur,” Produktion : Technik und Wirtschaft für die deutsche Industrie , no. 16, p. 19, 2021.","havard":"A. Mankowski, P. Priss, J. Suton, N. Moriz, H. Trsek, Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur, Produktion : Technik Und Wirtschaft Für Die Deutsche Industrie . (2021) 19.","bjps":"Mankowski A et al. (2021) Projekt DEVEKOS Nach Vier Jahren Erfolgreich Abgeschlossen : Neue Objektbasierte I4.0-Maschinenarchitektur. Produktion : Technik und Wirtschaft für die deutsche Industrie 19.","chicago":"Mankowski, Andre, Philip Priss, Jana Suton, Natalia Moriz, and Henning Trsek. “Projekt DEVEKOS Nach Vier Jahren Erfolgreich Abgeschlossen : Neue Objektbasierte I4.0-Maschinenarchitektur.” Produktion : Technik Und Wirtschaft Für Die Deutsche Industrie , no. 16 (2021): 19.","chicago-de":"Mankowski, Andre, Philip Priss, Jana Suton, Natalia Moriz und Henning Trsek. 2021. Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur. Produktion : Technik und Wirtschaft für die deutsche Industrie , Nr. 16: 19.","van":"Mankowski A, Priss P, Suton J, Moriz N, Trsek H. Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur. Produktion : Technik und Wirtschaft für die deutsche Industrie . 2021;(16):19.","ufg":"Mankowski, Andre u. a.: Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur, in: Produktion : Technik und Wirtschaft für die deutsche Industrie (2021), H. 16,  S. 19.","din1505-2-1":"Mankowski, Andre ; Priss, Philip ; Suton, Jana ; Moriz, Natalia ; Trsek, Henning: Projekt DEVEKOS nach vier Jahren erfolgreich abgeschlossen : Neue objektbasierte I4.0-Maschinenarchitektur. In: Produktion : Technik und Wirtschaft für die deutsche Industrie . Landsberg, Verl. Moderne Industrie (2021), Nr. 16, S. 19","mla":"Mankowski, Andre, et al. “Projekt DEVEKOS Nach Vier Jahren Erfolgreich Abgeschlossen : Neue Objektbasierte I4.0-Maschinenarchitektur.” Produktion : Technik Und Wirtschaft Für Die Deutsche Industrie , no. 16, 2021, p. 19."}},{"date_updated":"2024-03-05T15:01:55Z","date_created":"2024-03-01T14:30:42Z","language":[{"iso":"eng"}],"_id":"11157","department":[{"_id":"DEP5023"}],"conference":{"end_date":"2021-09-10","start_date":"2021-09-07","name":"26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","location":"Vasteras, Sweden "},"status":"public","publication":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","abstract":[{"lang":"eng","text":"In production environments, manual assembly is often used, when there is a high demand for flexibility which needs to be met economically. In this circumstance, assembly assistance systems are often used to ensure production standards. However, the individual requirements of each worker call for a way for the system to adapt towards the workers needs. This often requires modelling and configuration effort to include expert knowledge into an assistance system. This hinders an economical operation in an industrial environment. In this paper, an approach is presented, facilitating methods of online modelling, to generate a model, which represents the workers behavior during an assembly process. This behavior model is then used to deduce suitable adaptive assembly assistance in real time."}],"doi":"10.1109/ETFA45728.2021.9613614","publication_identifier":{"eisbn":["978-1-7281-2989-1 "],"isbn":["978-1-7281-2990-7"]},"year":"2021","publisher":"IEEE","citation":{"ieee":"P. Sehr, N. Moriz, M. Heinz-Jakobs, and H. Trsek, “Model-based approach for adaptive assembly assistance,” presented at the 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Vasteras, Sweden , 2021. doi: 10.1109/ETFA45728.2021.9613614.","havard":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, Model-based approach for adaptive assembly assistance, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2021.","bjps":"Sehr P et al. (2021) Model-Based Approach for Adaptive Assembly Assistance. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE.","mla":"Sehr, Philip, et al. “Model-Based Approach for Adaptive Assembly Assistance.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2021, https://doi.org/10.1109/ETFA45728.2021.9613614.","din1505-2-1":"Sehr, Philip ; Moriz, Natalia ; Heinz-Jakobs, Mario ; Trsek, Henning: Model-based approach for adaptive assembly assistance. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ : IEEE, 2021","ama":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Model-based approach for adaptive assembly assistance. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2021. doi:10.1109/ETFA45728.2021.9613614","chicago":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs, and Henning Trsek. “Model-Based Approach for Adaptive Assembly Assistance.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613614.","apa":"Sehr, P., Moriz, N., Heinz-Jakobs, M., & Trsek, H. (2021). Model-based approach for adaptive assembly assistance. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Vasteras, Sweden . https://doi.org/10.1109/ETFA45728.2021.9613614","chicago-de":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs und Henning Trsek. 2021. Model-based approach for adaptive assembly assistance. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE. doi:10.1109/ETFA45728.2021.9613614, .","short":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, in: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2021.","van":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Model-based approach for adaptive assembly assistance. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE; 2021.","ufg":"Sehr, Philip u. a.: Model-based approach for adaptive assembly assistance, in: o. Hg.: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, NJ 2021."},"place":"Piscataway, NJ","type":"conference","author":[{"full_name":"Sehr, Philip","id":"71582","first_name":"Philip","last_name":"Sehr"},{"first_name":"Natalia","last_name":"Moriz","id":"44238","full_name":"Moriz, Natalia"},{"full_name":"Heinz-Jakobs, Mario","id":"85220","last_name":"Heinz-Jakobs","first_name":"Mario"},{"last_name":"Trsek","orcid":"0000-0002-0133-0656","first_name":"Henning","id":"1486","full_name":"Trsek, Henning"}],"title":"Model-based approach for adaptive assembly assistance","publication_status":"published","user_id":"83781"},{"intvolume":" 115","date_updated":"2025-06-26T13:39:22Z","keyword":["Cognition","Industry 40","Big data platform","Machine learning","CPPS","Optimization","Algorithm selection","Simulation"],"external_id":{"isi":["000659025000010"]},"date_created":"2025-04-15T13:05:17Z","issue":"11-12","_id":"12800","language":[{"iso":"eng"}],"department":[{"_id":"DEP5023"}],"page":"3513-3532","status":"public","publication":"The International Journal of Advanced Manufacturing Technology","doi":"10.1007/s00170-021-07248-3","publication_identifier":{"issn":["0268-3768"],"eissn":["1433-3015"]},"abstract":[{"lang":"eng","text":"his paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture is to reduce the implementation effort of artificial intelligence (AI) algorithms in CPPS. Declarative user goals and the provided algorithm-knowledge base allow the dynamic pipeline orchestration and configuration. A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance for further evaluation through the cognitive module. Thus, the cognitive module is able to select feasible and robust configurations for process pipelines in varying use cases. Furthermore, it automatically adapts the models and algorithms based on model quality and resource consumption. The cognitive module also instantiates additional pipelines to evaluate algorithms from different classes on test functions. CAAI relies on well-defined interfaces to enable the integration of additional modules and reduce implementation effort. Finally, an implementation based on Docker, Kubernetes, and Kafka for the virtualization and orchestration of the individual modules and as messaging technology for module communication is used to evaluate a real-world use case."}],"year":"2021","publisher":"Springer ","author":[{"full_name":"Strohschein, Jan","last_name":"Strohschein","first_name":"Jan"},{"first_name":"Andreas","last_name":"Fischbach","full_name":"Fischbach, Andreas"},{"id":"58885","full_name":"Bunte, Andreas","last_name":"Bunte","first_name":"Andreas"},{"full_name":"Faeskorn-Woyke, Heide","last_name":"Faeskorn-Woyke","first_name":"Heide"},{"full_name":"Moriz, Natalia","id":"44238","first_name":"Natalia","last_name":"Moriz"},{"last_name":"Bartz-Beielstein","first_name":"Thomas","full_name":"Bartz-Beielstein, Thomas"}],"place":"London [u.a.]","citation":{"bjps":"Strohschein J et al. (2021) Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 115, 3513–3532.","havard":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, Cognitive capabilities for the CAAI in cyber-physical production systems, The International Journal of Advanced Manufacturing Technology. 115 (2021) 3513–3532.","ieee":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, and T. Bartz-Beielstein, “Cognitive capabilities for the CAAI in cyber-physical production systems,” The International Journal of Advanced Manufacturing Technology, vol. 115, no. 11–12, pp. 3513–3532, 2021, doi: 10.1007/s00170-021-07248-3.","short":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.","apa":"Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., & Bartz-Beielstein, T. (2021). 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London [u.a.], Springer (2021), Nr. 11–12, S. 3513–3532","mla":"Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 115, no. 11–12, 2021, pp. 3513–32, https://doi.org/10.1007/s00170-021-07248-3.","ufg":"Strohschein, Jan u. a.: Cognitive capabilities for the CAAI in cyber-physical production systems, in: The International Journal of Advanced Manufacturing Technology 115 (2021), H. 11–12,  S. 3513–3532.","van":"Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein T. Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology. 2021;115(11–12):3513–32.","chicago-de":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2021. Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology 115, Nr. 11–12: 3513–3532. doi:10.1007/s00170-021-07248-3, .","chicago":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology 115, no. 11–12 (2021): 3513–32. https://doi.org/10.1007/s00170-021-07248-3."},"type":"scientific_journal_article","volume":115,"isi":"1","title":"Cognitive capabilities for the CAAI in cyber-physical production systems","publication_status":"published","user_id":"83781"},{"date_created":"2021-01-26T12:04:18Z","language":[{"iso":"eng"}],"year":2020,"_id":"4512","status":"public","publication":"KommA 2020 – Jahreskolloquium Kommunikation in der Automation","date_updated":"2023-03-15T13:49:53Z","department":[{"_id":"DEP5023"}],"conference":{"location":"Lemgo","name":"11. Jahreskolloquium KommA 2020","start_date":"2020-10-29","end_date":"2020-10-29"},"title":"Concept for Rule-Based Information Aggregation in Modular Production Plants","user_id":"68554","citation":{"bjps":"Geng C et al. (2020) Concept for Rule-Based Information Aggregation in Modular Production Plants. KommA 2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany.","havard":"C. Geng, N. Moriz, A. Bunte, H. Trsek, Concept for Rule-Based Information Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, Lemgo, Germany, 2020.","ieee":"C. Geng, N. Moriz, A. Bunte, and H. Trsek, “Concept for Rule-Based Information Aggregation in Modular Production Plants,” in KommA 2020 – Jahreskolloquium Kommunikation in der Automation, Lemgo, 2020.","short":"C. Geng, N. Moriz, A. Bunte, H. Trsek, in: KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, Lemgo, Germany, 2020.","apa":"Geng, C., Moriz, N., Bunte, A., & Trsek, H. (2020). Concept for Rule-Based Information Aggregation in Modular Production Plants. In KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany.","ama":"Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany; 2020.","mla":"Geng, Christoph, et al. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, 2020.","din1505-2-1":"Geng, Christoph ; Moriz, Natalia ; Bunte, Andreas ; Trsek, Henning: Concept for Rule-Based Information Aggregation in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany, 2020","ufg":"Geng, Christoph et. al. (2020): Concept for Rule-Based Information Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation in der Automation, Lemgo, Germany.","van":"Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany; 2020.","chicago-de":"Geng, Christoph, Natalia Moriz, Andreas Bunte und Henning Trsek. 2020. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany.","chicago":"Geng, Christoph, Natalia Moriz, Andreas Bunte, and Henning Trsek. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” In KommA 2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany, 2020."},"place":"Lemgo, Germany","type":"conference","author":[{"last_name":"Geng","first_name":"Christoph","full_name":"Geng, Christoph","id":"61408"},{"first_name":"Natalia","last_name":"Moriz","id":"44238","full_name":"Moriz, Natalia"},{"first_name":"Andreas","last_name":"Bunte","full_name":"Bunte, Andreas","id":"58885"},{"full_name":"Trsek, Henning","id":"1486","last_name":"Trsek","first_name":"Henning"}]},{"date_updated":"2023-03-15T13:49:53Z","status":"public","publication":"25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) ","year":2020,"_id":"4513","language":[{"iso":"eng"}],"date_created":"2021-01-26T12:08:54Z","author":[{"id":"58885","full_name":"Bunte, Andreas","first_name":"Andreas","last_name":"Bunte"},{"id":"62216","full_name":"Ressler, Henrik","last_name":"Ressler","first_name":"Henrik"},{"first_name":"Natalia","last_name":"Moriz","id":"44238","full_name":"Moriz, Natalia"}],"citation":{"chicago-de":"Bunte, Andreas, Henrik Ressler und Natalia Moriz. 2020. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria.","apa":"Bunte, A., Ressler, H., & Moriz, N. (2020). Automated Detection of Production Cycles in Production Plants using Machine Learning. In 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria.","chicago":"Bunte, Andreas, Henrik Ressler, and Natalia Moriz. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” In 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria, 2020.","ama":"Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria; 2020.","ufg":"Bunte, Andreas et. al. (2020): Automated Detection of Production Cycles in Production Plants using Machine Learning, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria.","short":"A. Bunte, H. Ressler, N. Moriz, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020.","van":"Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria; 2020.","ieee":"A. Bunte, H. Ressler, and N. Moriz, “Automated Detection of Production Cycles in Production Plants using Machine Learning,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Wien, 2020.","din1505-2-1":"Bunte, Andreas ; Ressler, Henrik ; Moriz, Natalia: Automated Detection of Production Cycles in Production Plants using Machine Learning. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria, 2020","mla":"Bunte, Andreas, et al. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , 2020.","bjps":"Bunte A, Ressler H and Moriz N (2020) Automated Detection of Production Cycles in Production Plants Using Machine Learning. 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria.","havard":"A. Bunte, H. Ressler, N. Moriz, Automated Detection of Production Cycles in Production Plants using Machine Learning, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020."},"type":"conference","place":"Vienna, Austria","user_id":"68554","title":"Automated Detection of Production Cycles in Production Plants using Machine Learning","department":[{"_id":"DEP5023"}],"conference":{"start_date":"2020-09-08","end_date":"2020-09-11","location":"Wien","name":"25th IEEE International Conference on Emerging Technologies and Factory Automation"}},{"publisher":"Springer","abstract":[{"text":"This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implementation effort for the usage of artificial intelligence algorithms. The core of the CAAI is a cognitive module that processes the user's declarative goals, selects suitable models and algorithms, and creates a configuration for the execution of a processing pipeline on a big data platform. Constant observation and evaluation against performance criteria assess the performance of pipelines for many and different use cases. Based on these evaluations, the pipelines are automatically adapted if necessary. The modular design with well-defined interfaces enables the reusability and extensibility of pipeline components. A big data platform implements this modular design supported by technologies such as Docker, Kubernetes, and Kafka for virtualization and orchestration of the individual components and their communication. The implementation of the architecture is evaluated using a real-world use case. The prototypic implementation is accessible on GitHub and contains a demonstration.","lang":"eng"}],"doi":"10.1007/s00170-020-06094-z","year":"2020","publication_identifier":{"eissn":["1433-3015"],"issn":["0268-3768"]},"page":"609-626","publication":"The International Journal of Advanced Manufacturing Technology","status":"public","title":"CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems","user_id":"83781","publication_status":"published","author":[{"full_name":"Fischbach, Andreas","last_name":"Fischbach","first_name":"Andreas"},{"full_name":"Strohschein, Jan","last_name":"Strohschein","first_name":"Jan"},{"first_name":"Andreas","last_name":"Bunte","full_name":"Bunte, Andreas","id":"58885"},{"full_name":"Stork, Jörg","last_name":"Stork","first_name":"Jörg"},{"last_name":"Faeskorn-Woyke","first_name":"Heide","full_name":"Faeskorn-Woyke, Heide"},{"full_name":"Moriz, Natalia","id":"44238","last_name":"Moriz","first_name":"Natalia"},{"first_name":"Thomas","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas"}],"type":"journal_article","citation":{"mla":"Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, 2020, pp. 609–26, https://doi.org/10.1007/s00170-020-06094-z.","din1505-2-1":"Fischbach, Andreas ; Strohschein, Jan ; Bunte, Andreas ; Stork, Jörg ; Faeskorn-Woyke, Heide ; Moriz, Natalia ; Bartz-Beielstein, Thomas: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. In: The International Journal of Advanced Manufacturing Technology Bd. 111, Springer (2020), Nr. 1/2, S. 609–626","chicago-de":"Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2020. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 111, Nr. 1/2: 609–626. doi:10.1007/s00170-020-06094-z, .","chicago":"Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology 111, no. 1/2 (2020): 609–26. https://doi.org/10.1007/s00170-020-06094-z.","ufg":"Fischbach, Andreas u. a.: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems, in: The International Journal of Advanced Manufacturing Technology 111 (2020), H. 1/2,  S. 609–626.","van":"Fischbach A, Strohschein J, Bunte A, Stork J, Faeskorn-Woyke H, Moriz N, et al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology. 2020;111(1/2):609–26.","ieee":"A. Fischbach et al., “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems,” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, pp. 609–626, 2020, doi: 10.1007/s00170-020-06094-z.","bjps":"Fischbach A et al. (2020) CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 111, 609–626.","havard":"A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems, The International Journal of Advanced Manufacturing Technology. 111 (2020) 609–626.","apa":"Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz, N., & Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology, 111(1/2), 609–626. https://doi.org/10.1007/s00170-020-06094-z","ama":"Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology. 2020;111(1/2):609-626. doi:10.1007/s00170-020-06094-z","short":"A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 111 (2020) 609–626."},"isi":"1","volume":111,"external_id":{"isi":["000574389900002"]},"date_created":"2021-01-26T12:24:10Z","issue":"1/2","_id":"4518","language":[{"iso":"eng"}],"intvolume":" 111","keyword":["CPPS","Artificial intelligence","Industry 40","Reference architecture","Optimization","SMBO","Cognition","Big data platform","Modularization","AutoML"],"date_updated":"2025-06-26T13:38:24Z","department":[{"_id":"DEP5023"}]},{"language":[{"iso":"ger"}],"_id":"4797","date_created":"2021-02-02T08:59:09Z","date_updated":"2023-03-15T13:49:55Z","project":[{"_id":"FBB6D104-44D9-11E9-AA25-B54CDB794CE1","name":"Montexas 4.0"}],"department":[{"_id":"DEP5023"},{"_id":"DEP7020"},{"_id":"DEP1305"}],"publisher":"Springer Vieweg","doi":"https://doi.org/10.1007/978-3-662-61374-0_10","publication_identifier":{"isbn":["978-3-662-61373-3"],"eisbn":["978-3-662-61374-0"]},"year":2020,"abstract":[{"text":"Die Funktion der Montage wird im Zeitverlauf immer wieder grundlegend verändert, indem neue Gestaltungsparadigmen umgesetzt werden. Damit es zu solchen Paradigmenwechseln kommt, bedarf es neben veränderten Marktanforderungen zwingend neuer Erkenntnisse. Diese können sich dabei auf den Einsatz einzelner Technologien, die Anwendung neuer Organisationsprinzipien oder eine veränderte Rolle der Beschäftigten in der Montage beziehen. Die zunehmende Individualisierung der Erzeugnisgestaltung und sich verkürzende Innovationslebenszyklen führen aktuell zu einem Anstieg der Komplexität in der Montage. Damit nehmen die zu verarbeitenden Informationsmengen deutlich zu und es stellt sich die Frage, wie mit diesen großen Mengen an Informationen umzugehen ist. Dabei kommen dem Einsatz von Informations- und Kommunikationstechnologien eine Schlüsselrolle in der Montagesystemgestaltung zu. Wie diese Rolle und mit ihr verbundene Entwicklungen aussehen, wird in fünf Handlungsfeldern beschrieben. Zum Handlungsfeld der Montageassistenzsysteme, das im Mittelpunkt dieses Buches steht, werden zudem einzelne Trends dargestellt. Abschließend werden Hinweise für die betriebliche Praxis formuliert.","lang":"ger"}],"publication":"Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis","status":"public","page":"187-213","user_id":"49010","publication_status":"published","editor":[{"last_name":"Bornewasser","first_name":"Manfred ","full_name":"Bornewasser, Manfred "},{"first_name":"Sven","last_name":"Hinrichsen","id":"49010","full_name":"Hinrichsen, Sven"}],"title":"Entwicklungstrends in der Montage","place":"Berlin, Heidelberg","citation":{"ufg":"Hinrichsen, Sven et. al. (2020): Entwicklungstrends in der Montage, in: Manfred Bornewasser/Sven Hinrichsen (Hgg.): Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, Berlin, Heidelberg, S. 187–213.","van":"Hinrichsen S, Moriz N, Bornewasser M. Entwicklungstrends in der Montage. In: Bornewasser M, Hinrichsen S, editors. Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis. Berlin, Heidelberg: Springer Vieweg; 2020. p. 187–213.","chicago-de":"Hinrichsen, Sven, Natalia Moriz und Manfred Bornewasser. 2020. Entwicklungstrends in der Montage. In: Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, hg. von Manfred Bornewasser und Sven Hinrichsen, 187–213. Berlin, Heidelberg: Springer Vieweg. doi:https://doi.org/10.1007/978-3-662-61374-0_10, .","chicago":"Hinrichsen, Sven, Natalia Moriz, and Manfred Bornewasser. “Entwicklungstrends in der Montage.” In Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, edited by Manfred Bornewasser and Sven Hinrichsen, 187–213. Berlin, Heidelberg: Springer Vieweg, 2020. https://doi.org/10.1007/978-3-662-61374-0_10.","din1505-2-1":"Hinrichsen, Sven ; Moriz, Natalia ; Bornewasser, Manfred: Entwicklungstrends in der Montage. In: Bornewasser, M. ; Hinrichsen, S. (Hrsg.): Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis. Berlin, Heidelberg : Springer Vieweg, 2020, S. 187–213","mla":"Hinrichsen, Sven, et al. “Entwicklungstrends in der Montage.” Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, edited by Manfred Bornewasser and Sven Hinrichsen, Springer Vieweg, 2020, pp. 187–213, doi:https://doi.org/10.1007/978-3-662-61374-0_10.","short":"S. Hinrichsen, N. Moriz, M. Bornewasser, in: M. Bornewasser, S. Hinrichsen (Eds.), Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, Springer Vieweg, Berlin, Heidelberg, 2020, pp. 187–213.","apa":"Hinrichsen, S., Moriz, N., & Bornewasser, M. (2020). Entwicklungstrends in der Montage. In M. Bornewasser & S. Hinrichsen (Eds.), Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis (pp. 187–213). Berlin, Heidelberg: Springer Vieweg. https://doi.org/10.1007/978-3-662-61374-0_10","ama":"Hinrichsen S, Moriz N, Bornewasser M. Entwicklungstrends in der Montage. In: Bornewasser M, Hinrichsen S, eds. Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis. Berlin, Heidelberg: Springer Vieweg; 2020:187-213. doi:https://doi.org/10.1007/978-3-662-61374-0_10","bjps":"Hinrichsen S, Moriz N and Bornewasser M (2020) Entwicklungstrends in der Montage. In Bornewasser M and Hinrichsen S (eds), Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis. Berlin, Heidelberg: Springer Vieweg, pp. 187–213.","havard":"S. Hinrichsen, N. Moriz, M. Bornewasser, Entwicklungstrends in der Montage, in: M. Bornewasser, S. Hinrichsen (Eds.), Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, Springer Vieweg, Berlin, Heidelberg, 2020: pp. 187–213.","ieee":"S. Hinrichsen, N. Moriz, and M. Bornewasser, “Entwicklungstrends in der Montage,” in Informatorische Assistenzsysteme in der variantenreichen Montage: Theorie und Praxis, M. Bornewasser and S. Hinrichsen, Eds. 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Im ersten Anwendungsfall wird ein informatorisches Assistenzsystem eingesetzt, um Montageinformationen besser an die Bedürfnisse der Mitarbeiter anzupassen. Im zweiten Anwendungsfall wird ein bestehendes Montagesystem modularisiert. Die Anordnung der Bauteile in den einzelnen Modulen wird algorithmisch so optimiert, dass Laufwege zwischen den Modulen minimiert werden.","lang":"ger"}],"year":2019,"language":[{"iso":"ger"}],"date_created":"2021-02-02T09:06:35Z","date_updated":"2023-03-15T13:49:55Z","publication":"AUTOMATION 2019: Autonomous Systems and 5G in Connected Industries","status":"public","page":"671 - 682","user_id":"74004","title":"Ansätze für Komplexitätsreduktion in manuellen Montageprozessen","department":[{"_id":"DEP5023"},{"_id":"DEP7020"},{"_id":"DEP1305"}],"author":[{"last_name":"Sehr","first_name":"Philip","id":"71582","full_name":"Sehr, Philip"},{"full_name":"Moriz, Natalia","id":"44238","first_name":"Natalia","last_name":"Moriz"},{"first_name":"Sven","last_name":"Bendzioch","id":"71395","full_name":"Bendzioch, Sven"},{"last_name":"Hinrichsen","first_name":"Sven","full_name":"Hinrichsen, Sven","id":"49010"}],"type":"conference","place":"Baden-Baden","citation":{"ufg":"Sehr, Philip et. al. 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