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 language | English |
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Title of host publication | Lecture Notes in Networks and Systems |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 97-125 |
Number of pages | 29 |
DOIs | |
Publication status | Published - 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 549 |
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