Optimization and Design of a Manufacturing Line for Automotive Products

This paper presents the results of the design and optimization of a manufacturing line for automotive products. The study focuses on optimizing a station to ensure that a shutdown of one manufacturing line does not affect other lines. The optimization process utilized KUKA robots for parts handling and implemented a rack-type station where automotive parts can be placed or picked up by two robots simultaneously. The station was designed to use modular design elements. The rack station is equipped with NOK define before abbreviate part identification sensors, resulting in a significant increase in production efficiency (28%), improved product quality (identification of scrap parts before welding the final product), and reduced operational costs. Future research may explore the long- term impact of optimization and its effects on employees.

Authors

Publication Details

Journal
Acta Marisiensis Seria Technologica
Published
2024-12-18
DOI
https://doi.org/10.62838/amset-2024-0014
Primary Topic
Assembly Line Balancing Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization and Design of a Manufacturing Line for Automotive Products

Alex-Barna KACSÓ
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Acta Marisiensis Seria Technologica
Assembly Line Balancing Optimization
article

Optimization and Design of a Manufacturing Line for Automotive Products

Alex-Barna KACSÓ
article en

Abstract

This paper presents the results of the design and optimization of a manufacturing line for automotive products. The study focuses on optimizing a station to ensure that a shutdown of one manufacturing line does not affect other lines. The optimization process utilized KUKA robots for parts handling and implemented a rack-type station where automotive parts can be placed or picked up by two robots simultaneously. The station was designed to use modular design elements. The rack station is equipped with NOK define before abbreviate part identification sensors, resulting in a significant increase in production efficiency (28%), improved product quality (identification of scrap parts before welding the final product), and reduced operational costs. Future research may explore the long- term impact of optimization and its effects on employees.

Acta Marisiensis Seria TechnologicaVol. 21(2)
Openalex Percentile: Top 61%
Assembly Line Balancing Optimization
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