Implementing cognitive technologies in an assembly line based on two case studies

Muaaz Abdul Hadi*, Markus Brillinger, Martin Bloder, Michael Bader, Martin Ratasich, Franz Haas, Stefan Trabesinger, Johannes Schmid, Martin Weinzerl, Hannes Hick, Peter Kopsch, Eric Armengaud

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftKonferenzartikelBegutachtung


Due to mass customization, the product variances have considerably increased. Hence, achieving high quality, high variety, and small batch size production can be expensive. A thorough literature review and research findings indicate the new technologies that can be considered for mitigating these disparities. This paper then presents a case study for achieving high quality reliable e-axle bearings through a developed data-driven Bearing Test Rig (BTR). The second case study indicates the feasibility of high variety assembly of products in an e-axle through a cobot that is utilized for bearing assembly, sealing application, and bolting operations. Both depict the human-machine interaction as a core element in future e-axle assembly. The results are evaluated with the help of FMEA analysis, LoA matrix, and a simulation model.
Seiten (von - bis)520-525
FachzeitschriftProcedia CIRP
PublikationsstatusVeröffentlicht - 11 Feb. 2021
Veranstaltung8th CIRP Conference on Assembly Technologies and Systems - Athens, Greece, Virtuell, Griechenland
Dauer: 29 Sept. 20201 Okt. 2020

ASJC Scopus subject areas

  • Maschinenbau
  • Wirtschaftsingenieurwesen und Fertigungstechnik

Fields of Expertise

  • Mobility & Production


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