Caracterización de Operación de Montacarga para Identificación de Nivel de Riesgo Biomecánico en Empresa del Sector Minero: Un Caso de Estudio
DOI:
https://doi.org/10.17981/bilo.5.1.2023.04Keywords:
Forklift, Workstation inspection, Risk Assessment, Occupational Health and Safety (OHS)Abstract
This article presents a characterization of forklift operation in a mining company which allows identifying the biomechanical risk level due to activity exposure. A descriptive methodology was used to identify the biomechanical risk level through the development of the following phases: identification of forklift types used according to the technical literature, identification of biomechanical risks, and the execution of a workstation’s inspection by Ovako Working Analysis System method (OWAS) complemented with the Guide for Integral Attention in Occupational Safety and Health for non-specific low back pain and disc disease of occupational origin parameters. The results show the main forklift design characteristics that may represent a biomechanical risk factor. Besides, the biomechanical risks are identified and analyzed according to the organization's risk management tool, and the risk level inspection, evaluation, and determination of the forklift operator's work position are carried out. The study concludes the existence of precursor aspects of biomechanical risks in equipment, organizational factors, people, and the work environment. It also identifies 2 new biomechanical risks and determines low-risk levels for 100% of the inspected workstations.
Downloads
References
Albert, W. J., Everson, D., Rae, M., Callaghan, J. P., Croll, J., & Kuruganti, U. (2014). Biomechanical and ergonomic assessment of urban transit operators. Work, 47(1), 33-44. doi:10.3233/WOR-131683
Aranda-Rúa, D. P., del Pilar Gómez-Fernández, M., de la Cruz, M. P., Peralta-Núñez, Q. A., Ortíz-Barrios, M., & Borrero-López, L. (2022). Diseño de herramientas para la detección y atención temprana de emergencias en empresas de producción: Un caso de estudio. Boletín de Innovación, Logística y Operaciones, 4(1).
Bertin, M., Chazelle, É., Fouquet, N., Descatha, A., & Roquelaure, Y. (2019). Exposure to occupational biomechanical risk factors: The impact of the 2017 reform. [L’exposition professionnelle aux facteurs de risque biomécaniques: impact de l’ordonnance de 2017] Sante Publique, 31(1), 71-82. doi:10.3917/spub.191.0071
CAT lift Truck (s.f.).1,500 - 3,500 KG. de capacidad de montacargas de llantas neumáticas de combustión interna pequeños. https://www.logisnextamericas.com/es-co/cat/material-handling-equipment/cat-lift-trucks/classv/smallicpneumatictiretrucks/gp15nm-gp35nm_dp20nm-dp35nm
Docplayer (s.f.). Montacargas Diesel con Llantas Neumáticas. Capacidad: 17,500-36,000 lb. https://docplayer.es/39559377-Montacargas-diesel-con-llantas-neumaticas-capacidad-17-500-36-000-lb.html
Docplayer (s.f.). Montacargas de Gasolina, Gas Licuado de Petróleo (LP) y Diesel de Llanta Pneumática. Capacidad: 3,000-7,000 lbs. https://docplayer.es/7218768-Montacargas-de-gasolina-gas-licuado-de-petroleo-lp-y-diesel-de-llanta-pneumatica-capacidad-3-000-7-000-lbs.html
Du, B. B., Bigelow, P. L., Wells, R. P., Davies, H. W., Hall, P., & Johnson, P. W. (2018). The impact of different seats and whole-body vibration exposures on truck driver vigilance and discomfort. Ergonomics, 61(4), 528-537. doi:10.1080/00140139.2017.1372638
Maxwell, A., Yazan Q., Randa, H., Shahnawaz, A., Waleed U. , Yongcheng Z., Patricio, M., (2022). Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data. Automation in Construction, Volume 136, 104181, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2022.104181
Naweed, A., Bowditch, L., Trigg, J., & Unsworth, C. (2020). Out on a limb: Applying the person-environment-occupation-performance model to examine injury-linked factors among light rail drivers. Safety Science, 127 doi:10.1016/j.ssci.2020.104696
Ordoñez C, Gómez E & Calvo, A. (2016). Desórdenes músculo esqueléticos relacionados con el trabajo. Revista Colombiana de Salud Ocupacional, 6(1) Mar 2016, pp 24-30. http://revistasojs.unilibrecali.edu.co/index.php/rcso/article/view/307/534
Ortiz-Barrios, M., Silvera-Natera, E., Petrillo, A., Gul, M., & Yucesan, M. (2022). A multicriteria approach to integrating occupational safety & health performance and industry systems productivity in the context of aging workforce: A case study. Safety Science, 152 doi:10.1016/j.ssci.2022.105764
Pino Castillo, S., & Ponce Bravo, G. (2019). Comportamiento de la enfermedad laboral en Colombia 2015-2017. Revista Fasecolda, (175), 48–55. Recuperado a partir de https://revista.fasecolda.com/index.php/revfasecolda/article/view/555
Rabal-Pelay, J., Cimarras-Otal, C., Marcen-Cinca, N., Alcázar-Crevillén, A., Laguna-Miranda, C., & Bataller-Cervero, A. V. (2021). Assessment of spinal range of motion and musculoskeletal discomfort in forklift drivers. A cross-sectional study. International Journal of Environmental Research and Public Health, 18(6), 1-10. doi:10.3390/ijerph18062947
Rolander, B., Forsman, M., Ghafouri, B., Abtahi, F., & Wåhlin, C. (2021). Measurements and observations of movements at work for warehouse forklift truck operators. International Journal of Occupational Safety and Ergonomics, doi:10.1080/10803548.2021.1943866
Tolosa-Guzmán i. Riesgos biomecánicos asociados al desorden músculo esquelético en pacientes del régimen contributivo que consultan a un centro ambulatorio en Madrid, Cundinamarca, Colombia. Rev Cienc Salud. 2015;13(1): 25-38. doi: dx.doi.org/10.12804/revsalud13.01.2015.02
English
Español (España)
