Adaptive Assembly Approach for E-Axles

Muaaz Abdul Hadi*, Markus Brillinger, Franz Haas (Editor)

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paper

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.

Original languageEnglish
Title of host publication4th EAI International Conference on Management of Manufacturing Systems
EditorsLucia Knapcikova, Michal Balog, Dragan Perakovic, Marko Perisa
PublisherSpringer, Cham
Pages249-260
Number of pages12
ISBN (Electronic)978-3-030-34272-2
ISBN (Print)978-3-030-34271-5
DOIs
Publication statusPublished - 4 Mar 2020
EventMMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems - Krynica Zdroj, Poland, Krynica Zdroj, Poland
Duration: 8 Oct 201910 Oct 2019
http://manusystems.org/

Conference

ConferenceMMS 2019 - 4th EAI International Conference on Management of Manufacturing Systems
Abbreviated titleMMS 2019
CountryPoland
CityKrynica Zdroj
Period8/10/1910/10/19
Internet address

Keywords

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

ASJC Scopus subject areas

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

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