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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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.
Original languageEnglish
Pages (from-to)520-525
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 11 Feb 2021
Event8th CIRP Conference on Assembly Technologies and Systems - Athens, Greece, Virtuell, Greece
Duration: 29 Sept 20201 Oct 2020


  • Adaptive concepts
  • Cognitive technologies
  • E-powertrain assembly
  • Human-machine interaction

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fields of Expertise

  • Mobility & Production

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