Artificial Intelligence Controlled Manufacturing Strategies for New Energy Vehicles

PAUL SUNDAR SINGH, S and Priya, R. (2025) Artificial Intelligence Controlled Manufacturing Strategies for New Energy Vehicles. In: 2025 International Conference on Data Science, Agents, and Artificial Intelligence (ICDSAAI 2025).

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Abstract

Manufacturing strategies which focus on New
Energy Vehicles (NEVs) need to innovate because their rapid
growth requires more efficient and sustainable production
methods. This research studies flexible manufacturing since it
represents the fundamental solution for NEV production
difficulties. The article evaluates three manufacturing
approaches including contract manufacturing together with
skateboard platform sharing and modular production lines
which show advantages in cost reduction and faster production
times and better market responsiveness. Real examples from
Tesla, Canoo and Toyota demonstrate how flexible
manufacturing works in the NEV sector. Some interconnected
obstacles including elevated start-up expenses and supplier
connection requirements and employee skill development
remain despite productive benefits. The research presents
forecasts regarding AI-controlled intelligent manufacturing
sites and environmentally-friendly production practices which
will facilitate the development of an optimized NEV production
network. The NEV industry will push global sustainability in
transportation by using flexible manufacturing to solve
production challenges.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Artificial Intelligence
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 14 May 2026 06:15
Last Modified: 14 May 2026 06:15
URI: https://ir.vistas.ac.in/id/eprint/18736

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