Adaptive Assembly Approach for E-Axles

Muaaz Abdul Hadi; Markus Brillinger; Franz Haas

doi:10.1007/978-3-030-34272-2_23

Adaptive Assembly Approach for E-Axles

Muaaz Abdul Hadi^*, Markus Brillinger, Franz Haas (Herausgeber)

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Achieving high quality, high variety batch size production can be quite expensive. In this vision article, the methodology of achieving this at low costs and the available technologies in the field of e-mobility production are described. The focus of this research lies in high adaptive and cognitive aspects in the assembly along with qualitative aspects. To match the high flexibility of a Flexible Manufacturing System (FMS) while considering quantitative efforts, a use case of an e-axle assembly is being done. E-axle is chosen due to the ongoing electrification of mobility. Hence, a solution for implementing a set of methodologies for an adaptive manufacturing system with respect to assembly, quality and implementation efforts is shown. A LoPA (Level of Practical Application) matrix is presented of all the possible adaptive technologies that are feasible to implement in the e-assembly line.

Originalsprache	englisch
Titel	4th EAI International Conference on Management of Manufacturing Systems
Redakteure/-innen	Lucia Knapcikova, Michal Balog, Dragan Perakovic, Marko Perisa
Herausgeber (Verlag)	Springer, Cham
Seiten	249-260
Seitenumfang	12
ISBN (elektronisch)	978-3-030-34272-2
ISBN (Print)	978-3-030-34271-5
DOIs	https://doi.org/10.1007/978-3-030-34272-2_23
Publikationsstatus	Veröffentlicht - 4 März 2020
Veranstaltung	MMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems - Krynica Zdroj, Poland, Krynica Zdroj, Polen Dauer: 8 Okt. 2019 → 10 Okt. 2019 http://manusystems.org/

Konferenz

Konferenz	MMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems
Kurztitel	MMS 2019
Land/Gebiet	Polen
Ort	Krynica Zdroj
Zeitraum	8/10/19 → 10/10/19
Internetadresse	http://manusystems.org/

ASJC Scopus subject areas

Information systems
Gesundheitsinformatik
Elektrotechnik und Elektronik
Computernetzwerke und -kommunikation

Zugriff auf Dokument

10.1007/978-3-030-34272-2_23

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85090513971&partnerID=8YFLogxK

1 Abgeschlossen

ASP - Adaptive Intelligente Produktion
Bader, M. (Teilnehmer (Co-Investigator)) & Haas, F. (Teilnehmer (Co-Investigator))
1/01/18 → 31/12/19
Projekt: Forschungsprojekt

Best Scientific Paper Award
Abdul Hadi, M. (Empfänger/-in), Brillinger, M. (Empfänger/-in) & Haas, F. (Empfänger/-in), 10 Okt. 2019
Auszeichnung: Preise / Medaillen / Ehrungen

1 Masterarbeit

Adaptive Assembly Concepts for Low Volume Production Based on Two Case Studies
Titel in Übersetzung: Adaptive Montagekonzepte für die Kleinserienfertigung basierend auf zwei FallstudienAbdul Hadi, M., 15 Okt. 2019, 133 S.
Publikation: Studienabschlussarbeit › Masterarbeit

Dieses zitieren

Adaptive Assembly Approach for E-Axles. / Abdul Hadi, Muaaz; Brillinger, Markus; Haas, Franz (Herausgeber).
4th EAI International Conference on Management of Manufacturing Systems. Hrsg. / Lucia Knapcikova; Michal Balog; Dragan Perakovic; Marko Perisa. Springer, Cham, 2020. S. 249-260.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abdul Hadi, M, Brillinger, M & Haas, F (Hrsg.) 2020, Adaptive Assembly Approach for E-Axles. in L Knapcikova, M Balog, D Perakovic & M Perisa (Hrsg.), 4th EAI International Conference on Management of Manufacturing Systems. Springer, Cham, S. 249-260, MMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems, Krynica Zdroj, Polen, 8/10/19. https://doi.org/10.1007/978-3-030-34272-2_23

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title = "Adaptive Assembly Approach for E-Axles",

abstract = "Achieving high quality, high variety batch size production can be quite expensive. In this vision article, the methodology of achieving this at low costs and the available technologies in the field of e-mobility production are described. The focus of this research lies in high adaptive and cognitive aspects in the assembly along with qualitative aspects. To match the high flexibility of a Flexible Manufacturing System (FMS) while considering quantitative efforts, a use case of an e-axle assembly is being done. E-axle is chosen due to the ongoing electrification of mobility. Hence, a solution for implementing a set of methodologies for an adaptive manufacturing system with respect to assembly, quality and implementation efforts is shown. A LoPA (Level of Practical Application) matrix is presented of all the possible adaptive technologies that are feasible to implement in the e-assembly line.",

keywords = "E-mobility, Cognitive Production, High Variety Batch Production, Level of Practical Application (LoPA), Qualitative Analysis, High variety batch production, Qualitative analysis, Cognitive production",

author = "{Abdul Hadi}, Muaaz and Markus Brillinger and Franz Haas",

year = "2020",

month = mar,

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doi = "10.1007/978-3-030-34272-2_23",

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AU - Abdul Hadi, Muaaz

AU - Brillinger, Markus

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A2 - Knapcikova, Lucia

A2 - Balog, Michal

A2 - Perakovic, Dragan

A2 - Perisa, Marko

PY - 2020/3/4

Y1 - 2020/3/4

N2 - Achieving high quality, high variety batch size production can be quite expensive. In this vision article, the methodology of achieving this at low costs and the available technologies in the field of e-mobility production are described. The focus of this research lies in high adaptive and cognitive aspects in the assembly along with qualitative aspects. To match the high flexibility of a Flexible Manufacturing System (FMS) while considering quantitative efforts, a use case of an e-axle assembly is being done. E-axle is chosen due to the ongoing electrification of mobility. Hence, a solution for implementing a set of methodologies for an adaptive manufacturing system with respect to assembly, quality and implementation efforts is shown. A LoPA (Level of Practical Application) matrix is presented of all the possible adaptive technologies that are feasible to implement in the e-assembly line.

AB - Achieving high quality, high variety batch size production can be quite expensive. In this vision article, the methodology of achieving this at low costs and the available technologies in the field of e-mobility production are described. The focus of this research lies in high adaptive and cognitive aspects in the assembly along with qualitative aspects. To match the high flexibility of a Flexible Manufacturing System (FMS) while considering quantitative efforts, a use case of an e-axle assembly is being done. E-axle is chosen due to the ongoing electrification of mobility. Hence, a solution for implementing a set of methodologies for an adaptive manufacturing system with respect to assembly, quality and implementation efforts is shown. A LoPA (Level of Practical Application) matrix is presented of all the possible adaptive technologies that are feasible to implement in the e-assembly line.

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KW - Cognitive Production

KW - High Variety Batch Production

KW - Level of Practical Application (LoPA)

KW - Qualitative Analysis

KW - High variety batch production

KW - Qualitative analysis

KW - Cognitive production

UR - http://www.scopus.com/inward/record.url?scp=85090513971&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-34272-2_23

DO - 10.1007/978-3-030-34272-2_23

M3 - Conference paper

SN - 978-3-030-34271-5

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EP - 260

BT - 4th EAI International Conference on Management of Manufacturing Systems

PB - Springer, Cham

T2 - MMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems

Y2 - 8 October 2019 through 10 October 2019

ER -

Adaptive Assembly Approach for E-Axles

Abstract

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

ASP - Adaptive Intelligente Produktion

Auszeichnungen

Best Scientific Paper Award

Publikationen

Adaptive Assembly Concepts for Low Volume Production Based on Two Case Studies

Dieses zitieren