Analysis and Recommendations for an Automotive Manufacturing Assembly Station Ergonomic Risk

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HCI International 2022 – Late Breaking Papers: Ergonomics and Product Design (HCII 2022)

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Abstract

Warn Automotive is a medium manufacturing company that supplies Tier 1 automotive parts to OEMs. Their newly implemented lines contain automation and opportunities for improvement. Detailed analysis and risk assessment were completed for a station on one of the assembly lines that has had many complaints from operators. After risk tasks were identified, potential solutions are generated by attempting to eliminate, prevent or protect from the risk. The final solution includes Warn approval to begin to validate and test a robotic arm that eliminates an operator lifting task, a tool that takes the required force away from the operator's fingers, and other smaller improvements to the layout or fixture design.

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Correspondence to Jessica Backstrom .

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Appendices

Appendix A

See Fig. 13.

Fig. 13.
figure 13

RULA assessment completed for tasks A, B1 and B2.

Appendix B

See Fig. 14.

Fig. 14.
figure 14

RULA assessment completed for tasks D1 and D2.

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Backstrom, J., Duffy, V.G. (2022). Analysis and Recommendations for an Automotive Manufacturing Assembly Station Ergonomic Risk. In: Duffy, V.G., Rau, PL.P. (eds) HCI International 2022 – Late Breaking Papers: Ergonomics and Product Design. HCII 2022. Lecture Notes in Computer Science, vol 13522. Springer, Cham. https://doi.org/10.1007/978-3-031-21704-3_5

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  • DOI: https://doi.org/10.1007/978-3-031-21704-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21703-6

  • Online ISBN: 978-3-031-21704-3

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