Collaborative Robot in Engine Assembly: A Socioeconomic Approach to Technological Advancement in Manufacturing

ABSTRACT Industry 4.0 enabling technologies have been integrated into manufacturing systems. One of these technologies, the collaborative robot or cobot, holds significant expansion potential due to its shared application with humans in manufacturing environments. It offers cost reduction, a safer working environment, especially regarding ergonomic risks, and product quality improvements. This research aimed to assess the economic and social benefits, focusing on the reduction of ergonomic risks and quality gains resulting from the implementation of cobots in the engine assembly process. A case study was conducted in an engine assembly company, involving process observation, data collection, analysis of technical reports, and interviews with managers. The results indicated that integrating cobots into the manufacturing process is advantageous for the industry. There was a significant reduction in annual operating costs, totalling $41,602.56, leading to a return on investment in 1 year and 9 months. Furthermore, ensuring torque in the correct sequence resulted in product quality improvement, reduced ergonomic risks, and a safer working environment for operators. This research contributes to advancing knowledge on the economic, social, and quality advantages of cobot application in the engine assembly process.

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Publication Details

Journal
IET Collaborative Intelligent Manufacturing
Published
2025-01-01
DOI
https://doi.org/10.1049/cim2.70044
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Collaborative Robot in Engine Assembly: A Socioeconomic Approach to Technological Advancement in Manufacturing

Geraldo Cardoso de Oliveira Neto, Luiz Fernando Rodrigues Pinto, Andre da Silva Martin, Francesco Facchini
IET Collaborative Intelligent Manufacturing
Advanced Manufacturing and Logistics Optimization
article

Collaborative Robot in Engine Assembly: A Socioeconomic Approach to Technological Advancement in Manufacturing

Geraldo Cardoso de Oliveira Neto, Luiz Fernando Rodrigues Pinto, Andre da Silva Martin, Francesco Facchini
article en

Abstract

ABSTRACT Industry 4.0 enabling technologies have been integrated into manufacturing systems. One of these technologies, the collaborative robot or cobot, holds significant expansion potential due to its shared application with humans in manufacturing environments. It offers cost reduction, a safer working environment, especially regarding ergonomic risks, and product quality improvements. This research aimed to assess the economic and social benefits, focusing on the reduction of ergonomic risks and quality gains resulting from the implementation of cobots in the engine assembly process. A case study was conducted in an engine assembly company, involving process observation, data collection, analysis of technical reports, and interviews with managers. The results indicated that integrating cobots into the manufacturing process is advantageous for the industry. There was a significant reduction in annual operating costs, totalling $41,602.56, leading to a return on investment in 1 year and 9 months. Furthermore, ensuring torque in the correct sequence resulted in product quality improvement, reduced ergonomic risks, and a safer working environment for operators. This research contributes to advancing knowledge on the economic, social, and quality advantages of cobot application in the engine assembly process.

IET Collaborative Intelligent ManufacturingVol. 7(1)
Universidade Nove de Julho (BR), Polytechnic University of Bari (IT), Universidade Federal do ABC (BR)
European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca, Ministero dell'Università e della Ricerca
Openalex Percentile: Top 68%
Advanced Manufacturing and Logistics Optimization
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Collaborative Robot in Engine Assembly: A Socioeconomic Approach to Technological Advancement in Manufacturing — Geraldo Cardoso de Oliveira Neto, Luiz Fernando Rodrigues Pinto, et al. · IET Collaborative Intelligent Manufacturing (2025) | TGRS Research Map | TGRS