RISK ASSESSMENT OF THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE AUTOMOTIVE INDUSTRY
DOI:
https://doi.org/10.24867/27GI01KajtaziKeywords:
Logistics, automotive industry, artificial intelligence, risks, risk assessment methodsAbstract
The work starts from the very concept of logistics in a theoretical framework, the automotive industry, its history and latest trends which are also discussed in more detail. The benefits and risks of applying artificial intelligence in the automotive industry were analyzed, based on which methods were applied to detect problems and analyze the causes of problems. The goal of the analysis is the assessment of the greatest risks as well as the determination of possible measures to improve and eliminate risks.
References
[1] Brkljač, N. (2020). Povratna i zelena logistika - materijal za ispit"
[2] Regodić, D. (2010). Logistika
[3] Stevanovic, S., Kiss, I., Stanojevic, D., Janjic, N. (2014). Analysis of technological process of cutting logs using ishikawa diagram
[4] Hofmann, M., Neukart, F., Bäck, T. (2017). Artificial Intelligence and Data Science in the Automotive Industry
[5] Bjelić, M., Urekar, M., Member, IEEE (2023). Metrološki aspekt veštacke inteligencije u Industriji 4.0
[6] Beker, I. (2017). Menadžment rizika
[2] Regodić, D. (2010). Logistika
[3] Stevanovic, S., Kiss, I., Stanojevic, D., Janjic, N. (2014). Analysis of technological process of cutting logs using ishikawa diagram
[4] Hofmann, M., Neukart, F., Bäck, T. (2017). Artificial Intelligence and Data Science in the Automotive Industry
[5] Bjelić, M., Urekar, M., Member, IEEE (2023). Metrološki aspekt veštacke inteligencije u Industriji 4.0
[6] Beker, I. (2017). Menadžment rizika
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Published
2024-08-02
Issue
Section
Industrial Engineering and Management
