Assessment Of Worker Posture In Herbicides Production And Break Time Determination Using OCRA Index Method
- DOI
- 10.2991/icoemis-19.2019.19How to use a DOI?
- Keywords
- Musculoskeletal Disorders (MSDs), OCRA index, Repetitive task
- Abstract
Workers in the packaging process of pesticide factories constantly do repetitive jobs on belt conveyors, eight hours per shift. Results of preliminary observations used Nordic Body Map (NBM) questionnaire shown that there was the severity of Musculoskeletal Disorders (MSDs) on the upper body of the workers. The purpose of this research was to analyzing and evaluating the risk of exposure of those repetitive tasks, determining rest time and also determining suitable work posture. Occupational Repetitive Actions (OCRA) index used to determine the risk level of musculoskeletal disorders and rest time. The occupational repetitive actions (OCRA) index is the most precise method for analyzing and evaluating the risk of exposure to repetitive tasks. There were six activities observed in the packaging process. The highest OCRA index result was inserted cardboard sheet with 17,55 right-hand risk value and 16,51 left-hand risk value. Improvement proposed in this study was the design of the work method with rest time calculation and posture correction. Decreasing of OCRA index after improvement result was at 11,11% to 76,37%.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Cahyaning Wulan Dhadhari AU - Wiediartini AU - Haidar Natsir Amrullah PY - 2019/11 DA - 2019/11 TI - Assessment Of Worker Posture In Herbicides Production And Break Time Determination Using OCRA Index Method BT - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) PB - Atlantis Press SP - 131 EP - 138 SN - 1951-6851 UR - https://doi.org/10.2991/icoemis-19.2019.19 DO - 10.2991/icoemis-19.2019.19 ID - Dhadhari2019/11 ER -