Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method
Artikel i vetenskaplig tidskrift, 2022
The manufacturing industry follows the digital transformation, aiming for digitalized manufacturing with competitive and sustainable production systems.
5G-technology meets the connectivity requirements in digitalized manufacturing, with low latency, high data rates, and high reliability. Despite these technological benefits, the question remains: Why should the manufacturing industry invest in 5G-technology?
This study aims to determine the impact of 5G-technology on manufacturing performance; based on a mixed-methods approach including a modified TOPSIS method to ensure robustness of the results. The results show that 5 G-technology will mainly impact productivity, maintenance performance, and flexibility. By linking 5G-technology to the performance of the manufacturing system, instead of focusing on network performance, the benefits of using 5G-technology in manufacturing become clear, and can thus facilitate investment and deployment of 5G-technology in the manufacturing industry.
quantitative methods
performance analysis
information technology
manufacturing information systems
New technology management
Författare
Camilla Lundgren
Chalmers, Industri- och materialvetenskap, Produktionssystem
Ebru Turanoglu Bekar
Chalmers, Industri- och materialvetenskap, Produktionssystem
Maja Bärring
Chalmers, Industri- och materialvetenskap, Produktionssystem
Johan Stahre
Chalmers, Industri- och materialvetenskap, Produktionssystem
Anders Skoogh
Chalmers, Industri- och materialvetenskap, Produktionssystem
Björn Johansson
Chalmers, Industri- och materialvetenskap, Produktionssystem
R. Hedman
Volvo Group
International Journal of Computer Integrated Manufacturing
0951-192X (ISSN) 1362-3052 (eISSN)
Vol. 35 1 69-905G-Enabled Manufacturing II (5GEMII)
VINNOVA (2018-02820), 2018-06-21 -- 2019-09-01.
Ämneskategorier
Produktionsteknik, arbetsvetenskap och ergonomi
Annan maskinteknik
Datavetenskap (datalogi)
Styrkeområden
Produktion
DOI
10.1080/0951192X.2021.1972465