2024•Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Open access

AI-Driven Automation in Custom Manufacturing: Enhancing Precision and Efficiency in Automotive Components Production

Sumit Lad

Abstract

In this paper we examine the current impact and future potential of AI on the custom manufacturing industry. This study dives deep into the automotive component industry where custom manufacturing plays a significant role. It explores whether AI can help us improve the overall efficiency of the manufacturing processes by improving the precision of machining operations and reducing production lead times and material wastage. The study also explores the impact of AI in the low-volume and high complexity environments involved in custom manufacturing in the automotive industry.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Automotive industry, Manufacturing engineering, Automation, Machining, Production (economics), Advanced manufacturing, Component (thermodynamics), Manufacturing