Search

Your search keyword '"Thiede, Sebastian"' showing total 870 results
Start Over Author "Thiede, Sebastian"
870 results on '"Thiede, Sebastian"'

2. Sustainable Manufacturing for SMEs: An Agile Readiness Model of Decarbonization Through Theory and Practice

Author

Tang, Xiaohui, Yang, Shun, Qian, Yanwen, Thiede, Sebastian, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Kohl, Holger, editor, Seliger, Günther, editor, Dietrich, Franz, editor, and Mur, Sebastián, editor

Published
2025
Full Text
View/download PDF

3. Development of an IALF Overarching Learning Module for Circular Economy

Author

Barth, Jonas, Ruzicic, Nada, Mennenga, Mark, Panagiotopoulou, Vasiliki, Wolf, Matthias, Ayroa, Ricardo Vega, Sattari, Massoud, Köppe, Gesine, Weyand, Astrid, Seyfried, Stefan, Mangers, Jeff, Thiede, Sebastian, Niemeyer, Jan Felix, Khoulenjani, Zahra Ghazanfarpour, Petrusch, Natalie, Metternich, Joachim, Weigold, Matthias, Herrmann, Christoph, Hummel, Vera, Braun, Anja, Stavropoulos, Panagiotis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Thiede, Sebastian, editor, and Lutters, Eric, editor

Published
2024
Full Text
View/download PDF

4. Circular Manufacturing Systems in Learning Factories

Author

Thiede, Sebastian, Yang, Shun, Yazdi, Poorya Ghafoorpoor, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Thiede, Sebastian, editor, and Lutters, Eric, editor

Published
2024
Full Text
View/download PDF

5. Interactive Digitally Supported Design of Human-Centric Workplaces in Learning Factories

Author

Bittencourt, Victor, Spitzhirn, Michael, Thiede, Sebastian, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Thiede, Sebastian, editor, and Lutters, Eric, editor

Published
2024
Full Text
View/download PDF

6. Cyber Physical System for Reconfigurable Learning Factories: Combining 3D Simulations, Reconfigurable Layouts and Real-Time Locating Systems

Author

Ghafoorpoor Yazdi, Poorya, Sbaragli, Andrea, Peters, Leon, Pilati, Francesco, Thiede, Sebastian, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Thiede, Sebastian, editor, and Lutters, Eric, editor

Published
2024
Full Text
View/download PDF

8. Manufacturing

Author

Thiede, Sebastian, Dér, Antal, Münnich, Marc, Sobottka, Thomas, Wenzel, Sigrid, editor, Rabe, Markus, editor, Strassburger, Steffen, editor, and von Viebahn, Christoph, editor

Published
2024
Full Text
View/download PDF

10. Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network

Author

Kirchhof, Michael, Haas, Klaus, Kornas, Thomas, Thiede, Sebastian, Hirz, Mario, and Herrmann, Christoph

Subjects
Statistics - Applications, Statistics - Machine Learning, 62P30, I.2.1
Abstract

The production of lithium-ion battery cells is characterized by a high degree of complexity due to numerous cause-effect relationships between process characteristics. Knowledge about the multi-stage production is spread among several experts, rendering tasks as failure analysis challenging. In this paper, a new method is presented that includes expert knowledge acquisition in production ramp-up by combining Failure Mode and Effects Analysis (FMEA) with a Bayesian Network. Special algorithms are presented that help detect and resolve inconsistencies between the expert-provided parameters which are bound to occur when collecting knowledge from several process experts. We show the effectiveness of this holistic method by building up a large scale, cross-process Bayesian Failure Network in lithium-ion battery production and its application for root cause analysis., Comment: Submitted to CIRP Journal of Manufacturing Science and Technology (01.2020)

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results