Issue |
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
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Article Number | 01080 | |
Number of page(s) | 8 | |
Section | Integrated Sustainable Science and Technology Innovation | |
DOI | https://doi.org/10.1051/e3sconf/202342601080 | |
Published online | 15 September 2023 |
Analysis Workstation in Manufacturing Industry using Occupational Repetitive Action (OCRA) Index Method to Reduce Risk of Work-Related Musculoskeletal Disorder
1 Industrial Engineering Department, BINUS Online Learning, Bina Nusantara University, Jakarta, Indonesia 11480
2 Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia 11480
* Corresponding author: muhamad.firdaus001@binus.ac.id
According to analysis of Global Burden of Disease (GDB) 2019 data, approximately 1.71 billion people have musculoskeletal disorder (MSDs) worldwide. It could cause constant pain and limitations in mobility, dexterity, and reducing people’s ability to work. Musculoskeletal disorders can be caused by repetitive and heavy work activities. On Hub 2/3 work station, production is carried out by machining processes using CNC machines, drilling machines and tapping machines with predetermined target outputs. In this process, there are repetitive actions which have risk of musculoskeletal disorders. By using the OCRA method and calculating the OCRA Index value, the operator 1 is in the red zone, then operator 2 and operator 3 are in the yellow zone which means the work conditions at workstations must be improved. The objective of this paper is to analyze Hub 2/3 workstations in order to minimize the risk of musculoskeletal disorders for each operator. The proposed improvement are given to fulfill the objectives of this paper. The results of the OCRA calculations with the assumption that all proposed improvements are applied are smaller than the previous calculations which means the risk of musculoskeletal disorders is reduced.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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