Digital Transformation in Automotive Sector

Elif Haktanır*, Cengiz Kahraman, Selçuk Çebi, İrem Otay, Eda Boltürk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The automotive industry is one of the industries that adapts the fastest to digital transformation (DT) in the world because of its standard production process and mass production. It is the sector that needs digitalization the most in order to gain a competitive advantage and increase its production quality. This chapter focuses on the DT in automotive production processes in both academic literature and industrial applications. It presents the development of automobile technology throughout the years, the type of robots used in automobile production, and an assessment of alternative robot technologies for digital production processes with a sensitivity analysis. The chapter is concluded by future research directions and suggestions.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Science and Business Media Deutschland GmbH
Pages97-125
Number of pages29
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Networks and Systems
Volume549
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • AHP
  • Automotive industry
  • Cobots
  • Digital transformation
  • Multi-criteria decision making
  • Spherical fuzzy sets
  • TOPSIS

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