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Maximizing efficiency and collaboration: Comparing Robots and Cobots in the Automotive Industry – A Multi-Criteria Evaluation Approach

Hajar Mouhib, Sara Haddou Amar, Samah Elrhanimi, Laila El Abbadi

Year
2024
Citations
8
Access
Open access

Abstract

The fifth industrial revolution emphasizes human-robot collaboration to enhance transformation processes. While collaborative robots (cobots) are increasingly attracting interest in various industries, integrating them into assembly lines remains challenging. This paper aims to investigate whether cobots are replacing traditional robots or if a synergy between both technologies is essential in the era of Industry 5.0 to maximize benefits. The real case study presented provides a comparison between robots and cobots in an automotive factory using the Fuzzy AHP methodology. The results indicate that cobots are advantageous in produc- tion units with low-volume and high-variability tasks. However, they fall short of the reli- ability, precision, and productivity that traditional robots offer for repetitive tasks. Finally, a framework is proposed to guide decision makers in adopting the suitable solution to their needs while ensuring optimal performance as well as workers wellbeing.

Keywords

Automotive industryRobotComputer scienceManufacturing engineeringEngineeringArtificial intelligenceOperations management

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