GASPRO International Journal of Eminent Scholars

Submit Article
Guides For Authors

Trending Topics

Secured Payment

ADOPTION OF AI IN VEHICLE MANUFACTURING COMPANY: THE PROSPECT AND PROCEDURE

ABSTRACT

This study examined the adoption of artificial intelligence in vehicle assembly in vehicle manufacturing company, assessing the prospect and procedure. The adoption of artificial Intelligence (AI) in vehicle assembly is revolutionizing the automotive manufacturing landscape, offering unprecedented levels of efficiency, precision, and adaptability. In the context of carrying out this research, the following subheads were explored among others:  concept of artificial intelligence, concept of vehicle assembly and prospect of using ai for vehicle assembly among others. Prospect of using ai for vehicle assembly as mentioned in the study included: optimizing manufacturing processes, improving quality control and enhancing design. Furthermore, the study mentioned the procedure of vehicle assembly using artificial intelligence to include: virtual prototyping and design, assembly line optimization and quality control/inspection. In the same vein, the study also mentioned the militating factors to artificial intelligence-assisted vehicle assembly to include: technical complexity/reliability concerns, integration challenges with legacy systems and liability/legal ambiguity. Hybrid human-ai collaboration models, standardization of interoperability protocols and workforce upskilling and reorientation among others were mentioned as the mitigating strategies to the militating factors to ai-assisted vehicle assembly. The study concluded that adopting AI in vehicle assembly offers transformative benefits for manufacturing companies, including enhanced efficiency, precision, and adaptability. One of the recommendations made was that there should be an evaluation of existing manufacturing infrastructure, workforce skills, and data availability to identify areas suitable for AI integration and determine the level of investment required.

KEYWORDS: Artificial Intelligence, Vehicle Manufacturing and Company

Uwem Jackson Edemidiongs
Download Article
Featured Article

Global Studies Quaterly
Bioinformatics Advances
Bioscience & Technology
Latest Articles
ISSN(Hardcopy)

2630 - 7200

ISSN(Softcopy)

2659 - 1057

Impact Factor

5.693

Advertisement