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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
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ISSN(Hardcopy)
2630 - 7200
ISSN(Softcopy)
2659 - 1057
Impact Factor
5.693
