Parametric evaluation and cost analysis in an e-axle assembly layout

Muaaz Abdul Hadi; Markus Brillinger; Martin Weinzerl

doi:10.1007/978-3-030-67241-6_4

Parametric evaluation and cost analysis in an e-axle assembly layout

Muaaz Abdul Hadi^*, Markus Brillinger, Martin Weinzerl

^*Corresponding author for this work

Pro2Future (98806)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Over the years, e-mobility has scaled exponentially, specifically automobiles, and is seen as the future. In this paper, implementation of specific adaptive technologies into the assembly line has been performed and is presented in the form of case study. The architecture and model of these technologies utilised are presented and their benefits on assembly line. Thus, indication is proven towards building a highly flexible, adaptive and cost-effective assembly line. Evaluation techniques such as FMEA, tecnomatix simulation and level of automation (LoA) study are performed to prove the improvements in qualitative, adaptive and an increase in automation levels when compared to previous manual assembly. Furthermore, the variances in e-axles are depicted with reference to e-axles from eminent electric automobile manufacturers. This is followed with a generalised assembly procedure and a cost model for the e-axle assembly. The results depict the adaptability achieved along with cost benefits when compared to an automated assembly line.

Original language	English
Title of host publication	5th EAI International Conference on Management of Manufacturing Systems
Editors	Lucia Knapčíková, Dragan Peraković, Annamária Behúnová, Marko Periša
Place of Publication	Springer
Publisher	Springer, Cham
Pages	39-55
Number of pages	17
ISBN (Electronic)	978-3-030-67241-6
ISBN (Print)	978-3-030-67240-9
DOIs	https://doi.org/10.1007/978-3-030-67241-6_4
Publication status	Published - 5 Jan 2021
Event	5th EAI International Conference on Management of Manufacturing Systems - Cyberspace, Virtuell, Croatia Duration: 27 Oct 2020 → 28 Oct 2020 https://manusystems.eai-conferences.org/2020/

Publication series

Name	EAI/Springer Innovations in Communication and Computing
ISSN (Print)	2522-8595
ISSN (Electronic)	2522-8609

Conference

Conference	5th EAI International Conference on Management of Manufacturing Systems
Abbreviated title	EAI MMS 2020
Country/Territory	Croatia
City	Virtuell
Period	27/10/20 → 28/10/20
Internet address	https://manusystems.eai-conferences.org/2020/

Keywords

Adaptive assembly of e-axles
E-mobility
Qualitative and cost analysis

ASJC Scopus subject areas

Information Systems
Health Informatics
Electrical and Electronic Engineering
Computer Networks and Communications

Access to Document

10.1007/978-3-030-67241-6_4

Parametric evaluation and cost analysis in an e-axle assembly layoutAccepted author manuscript, 916 KB

Cite this

Abdul Hadi, M., Brillinger, M., & Weinzerl, M. (2021). Parametric evaluation and cost analysis in an e-axle assembly layout. In L. Knapčíková, D. Peraković, A. Behúnová, & M. Periša (Eds.), 5th EAI International Conference on Management of Manufacturing Systems (pp. 39-55). (EAI/Springer Innovations in Communication and Computing). Springer, Cham. https://doi.org/10.1007/978-3-030-67241-6_4

Parametric evaluation and cost analysis in an e-axle assembly layout. / Abdul Hadi, Muaaz; Brillinger, Markus; Weinzerl, Martin.
5th EAI International Conference on Management of Manufacturing Systems. ed. / Lucia Knapčíková; Dragan Peraković; Annamária Behúnová; Marko Periša. Springer: Springer, Cham, 2021. p. 39-55 (EAI/Springer Innovations in Communication and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abdul Hadi, M, Brillinger, M & Weinzerl, M 2021, Parametric evaluation and cost analysis in an e-axle assembly layout. in L Knapčíková, D Peraković, A Behúnová & M Periša (eds), 5th EAI International Conference on Management of Manufacturing Systems. EAI/Springer Innovations in Communication and Computing, Springer, Cham, Springer, pp. 39-55, 5th EAI International Conference on Management of Manufacturing Systems, Virtuell, Croatia, 27/10/20. https://doi.org/10.1007/978-3-030-67241-6_4

Abdul Hadi M, Brillinger M, Weinzerl M. Parametric evaluation and cost analysis in an e-axle assembly layout. In Knapčíková L, Peraković D, Behúnová A, Periša M, editors, 5th EAI International Conference on Management of Manufacturing Systems. Springer: Springer, Cham. 2021. p. 39-55. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-030-67241-6_4

Abdul Hadi, Muaaz ; Brillinger, Markus ; Weinzerl, Martin. / Parametric evaluation and cost analysis in an e-axle assembly layout. 5th EAI International Conference on Management of Manufacturing Systems. editor / Lucia Knapčíková ; Dragan Peraković ; Annamária Behúnová ; Marko Periša. Springer : Springer, Cham, 2021. pp. 39-55 (EAI/Springer Innovations in Communication and Computing).

@inproceedings{f3fabfbf1dec4c1c862d711302e1a6f4,

title = "Parametric evaluation and cost analysis in an e-axle assembly layout",

abstract = "Over the years, e-mobility has scaled exponentially, specifically automobiles, and is seen as the future. In this paper, implementation of specific adaptive technologies into the assembly line has been performed and is presented in the form of case study. The architecture and model of these technologies utilised are presented and their benefits on assembly line. Thus, indication is proven towards building a highly flexible, adaptive and cost-effective assembly line. Evaluation techniques such as FMEA, tecnomatix simulation and level of automation (LoA) study are performed to prove the improvements in qualitative, adaptive and an increase in automation levels when compared to previous manual assembly. Furthermore, the variances in e-axles are depicted with reference to e-axles from eminent electric automobile manufacturers. This is followed with a generalised assembly procedure and a cost model for the e-axle assembly. The results depict the adaptability achieved along with cost benefits when compared to an automated assembly line.",

keywords = "Adaptive assembly of e-axles, E-mobility, Qualitative and cost analysis",

author = "{Abdul Hadi}, Muaaz and Markus Brillinger and Martin Weinzerl",

year = "2021",

month = jan,

day = "5",

doi = "10.1007/978-3-030-67241-6_4",

language = "English",

isbn = "978-3-030-67240-9",

series = "EAI/Springer Innovations in Communication and Computing",

publisher = "Springer, Cham",

pages = "39--55",

editor = "Lucia Knap{\v c}{\'i}kov{\'a} and Dragan Perakovi{\'c} and Annam{\'a}ria Beh{\'u}nov{\'a} and Marko Peri{\v s}a",

booktitle = "5th EAI International Conference on Management of Manufacturing Systems",

note = "5th EAI International Conference on Management of Manufacturing Systems, EAI MMS 2020 ; Conference date: 27-10-2020 Through 28-10-2020",

url = "https://manusystems.eai-conferences.org/2020/",

}

TY - GEN

T1 - Parametric evaluation and cost analysis in an e-axle assembly layout

AU - Abdul Hadi, Muaaz

AU - Brillinger, Markus

AU - Weinzerl, Martin

PY - 2021/1/5

Y1 - 2021/1/5

N2 - Over the years, e-mobility has scaled exponentially, specifically automobiles, and is seen as the future. In this paper, implementation of specific adaptive technologies into the assembly line has been performed and is presented in the form of case study. The architecture and model of these technologies utilised are presented and their benefits on assembly line. Thus, indication is proven towards building a highly flexible, adaptive and cost-effective assembly line. Evaluation techniques such as FMEA, tecnomatix simulation and level of automation (LoA) study are performed to prove the improvements in qualitative, adaptive and an increase in automation levels when compared to previous manual assembly. Furthermore, the variances in e-axles are depicted with reference to e-axles from eminent electric automobile manufacturers. This is followed with a generalised assembly procedure and a cost model for the e-axle assembly. The results depict the adaptability achieved along with cost benefits when compared to an automated assembly line.

AB - Over the years, e-mobility has scaled exponentially, specifically automobiles, and is seen as the future. In this paper, implementation of specific adaptive technologies into the assembly line has been performed and is presented in the form of case study. The architecture and model of these technologies utilised are presented and their benefits on assembly line. Thus, indication is proven towards building a highly flexible, adaptive and cost-effective assembly line. Evaluation techniques such as FMEA, tecnomatix simulation and level of automation (LoA) study are performed to prove the improvements in qualitative, adaptive and an increase in automation levels when compared to previous manual assembly. Furthermore, the variances in e-axles are depicted with reference to e-axles from eminent electric automobile manufacturers. This is followed with a generalised assembly procedure and a cost model for the e-axle assembly. The results depict the adaptability achieved along with cost benefits when compared to an automated assembly line.

KW - Adaptive assembly of e-axles

KW - E-mobility

KW - Qualitative and cost analysis

UR - http://www.scopus.com/inward/record.url?scp=85113475185&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-67241-6_4

DO - 10.1007/978-3-030-67241-6_4

M3 - Conference paper

SN - 978-3-030-67240-9

T3 - EAI/Springer Innovations in Communication and Computing

SP - 39

EP - 55

BT - 5th EAI International Conference on Management of Manufacturing Systems

A2 - Knapčíková, Lucia

A2 - Peraković, Dragan

A2 - Behúnová, Annamária

A2 - Periša, Marko

PB - Springer, Cham

CY - Springer

T2 - 5th EAI International Conference on Management of Manufacturing Systems

Y2 - 27 October 2020 through 28 October 2020

ER -

Parametric evaluation and cost analysis in an e-axle assembly layout

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

ASP - Adaptive Smart Production