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A Method for Improving Production Management Training by Integrating an Industry 4.0 Innovation Center in China

Yang, Shun 1; Hamann, Karin; Haefner, Benjamin 1; Wu, Chuan; Lanza, Gisela 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:

Production Management is an important issue for organizations that spend considerable amounts of investment annually on personnel training. Especially in the era of Industry 4.0 and Intelligent Manufacturing, considering the exponential growth of new knowledge and information, personnel need to update and supplement the necessary knowledge. Nevertheless, there is a lack of adequate methodology for executing trainings in the field of production management. This paper aims to develop a method for executing production management training which combines online learning and offline training as well as practical parts by using an Industry 4.0 Innovation Center equipped with model devices. A procedure is to first starting with an E-Learning module containing basic knowledge, accessible on the Learning Platform Moodle. Secondly, an on-line survey is created to collect expectations and requirements. Then the training schedule is carried out for execution of professional training. The training part in the innovation center will contribute to build up the basis for adaptions of the training knowledge to practical need of a company. Lastly the test and evaluation is conducted via virtual team room (Vitero). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000145217
Veröffentlicht am 04.07.2022
Originalveröffentlichung
DOI: 10.1016/j.promfg.2018.04.019
Scopus
Zitationen: 13
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2351-9789
KITopen-ID: 1000145217
Erschienen in Procedia manufacturing
Verlag Elsevier
Band 23
Seiten 213–218
Bemerkung zur Veröffentlichung “Advanced Engineering Education & Training for Manufacturing Innovation” 8th Conference on Learning Factories (CLF 2018), 12-13 April 2018, Patras, Greece
Vorab online veröffentlicht am 23.04.2018
Nachgewiesen in Dimensions
Scopus
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