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

doi:10.1016/j.procir.2020.05.268

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 journal › Conference article › peer-review

Abstract

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 language	English
Pages (from-to)	520-525
Number of pages	6
Journal	Procedia CIRP
Volume	97
DOIs	https://doi.org/10.1016/j.procir.2020.05.268
Publication status	Published - 11 Feb 2021
Event	8th CIRP Conference on Assembly Technologies and Systems - Athens, Greece, Virtuell, Greece Duration: 29 Sept 2020 → 1 Oct 2020 http://cirp-cats2020.com/

Keywords

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

Access to Document

10.1016/j.procir.2020.05.268Licence: CC BY-NC-ND 4.0

Implementing cognitive technologies in an assembly line based on two case studiesFinal published version, 1.84 MBLicence: CC BY-NC-ND 4.0

Cite this

@article{90f4a8f18a7c4a689a29d2a2dabc8294,

title = "Implementing cognitive technologies in an assembly line based on two case studies",

abstract = "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.",

keywords = "Adaptive concepts, Cognitive technologies, E-powertrain assembly, Human-machine interaction",

author = "{Abdul Hadi}, Muaaz and Markus Brillinger and Martin Bloder and Michael Bader and Martin Ratasich and Franz Haas and Stefan Trabesinger and Johannes Schmid and Martin Weinzerl and Hannes Hick and Peter Kopsch and Eric Armengaud",

year = "2021",

month = feb,

day = "11",

doi = "10.1016/j.procir.2020.05.268",

language = "English",

volume = "97",

pages = "520--525",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

note = "8th CIRP Conference on Assembly Technologies and Systems, CIRP CATS 2020 ; Conference date: 29-09-2020 Through 01-10-2020",

url = "http://cirp-cats2020.com/ ",

}

TY - JOUR

T1 - Implementing cognitive technologies in an assembly line based on two case studies

AU - Abdul Hadi, Muaaz

AU - Brillinger, Markus

AU - Bloder, Martin

AU - Bader, Michael

AU - Ratasich, Martin

AU - Haas, Franz

AU - Trabesinger, Stefan

AU - Schmid, Johannes

AU - Weinzerl, Martin

AU - Hick, Hannes

AU - Kopsch, Peter

AU - Armengaud, Eric

PY - 2021/2/11

Y1 - 2021/2/11

N2 - 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.

AB - 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.

KW - Adaptive concepts

KW - Cognitive technologies

KW - E-powertrain assembly

KW - Human-machine interaction

UR - http://www.scopus.com/inward/record.url?scp=85100842466&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2020.05.268

DO - 10.1016/j.procir.2020.05.268

M3 - Conference article

SN - 2212-8271

VL - 97

SP - 520

EP - 525

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 8th CIRP Conference on Assembly Technologies and Systems

Y2 - 29 September 2020 through 1 October 2020

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

Other files and links

Fingerprint

ASP - Adaptive Smart Production