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Reducing musculoskeletal disorder (MSD) risk of wiring harness workstation using workplace ergonomic risk assessment (WERA) method

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Bureau of Labor Statistics in Indonesia notes that musculoskeletal disorder (MSD) is the main category of injury causes in workplaces leading to 30% compensation costs. The purpose of this paper was to know the risk of work position of wire harness companies using workplace ergonomic risk assessment (WERA) for basic workstation improvements. The first step of this research was studying the literature of MSD, work posture, work position, and WERA. It subsequently proceeded with the identification and assessment process using WERA on each type of wiring harness activity. From the research results, it was obtained three jobs indicated causing muscle injury and soreness namely torque job, grommet job, and offline job. Moreover, the problem was supported by complaints from most workers known by using a discomfort survey. Based on the problem, this research was conducted to find out the action levels with WERA method and give improvement recommendation to overcome the problem of musculoskeletal disorders. The results of WERA showed that torque, grommet, and offl ine jobs needed further investigation and improvement with the scores of 31.23, 28.87, and 30.9. Recommendations were then given in the form of personal protective equipment (PPE) to reduce the risk factor scores on contract stress, to provide a new workstation design of torque job, and to add aids for solving other pain problems.
Rocznik
Strony
536--551
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
  • Brawijaya University, Faculty of Engineering, Department of Industrial Engineering, Malang 65145, Indonesia
  • Faculty of Engineering, Brawijaya University
  • Faculty of Engineering, Brawijaya University
Bibliografia
  • Abd Rahman, M.N., Abdul Rani, M.R. & Rohani, J.M. (2011). WERA: an observational tool develop to investigate the physical risk factor associated with WMSDs. Journal of Human Ergology, 40(1-2), 19-36. Retrieved from: http://www.scopus.com/inward/record. url?eid=2-s2.0-84873402164&partnerID=tZOtx3y1.
  • Alexopoulos, E.C., Stathi, I.-C. & Charizani, F. (2004). Prevalence of musculoskeletal disorders in dentists. BMC Musculoskeletal Disorders, 5(1), 16. doi.org/10.1186/1471-2474-5-16
  • Baek, J.H., Kim, Y.S. & Yi, K.H. (2015). Relationship between Comorbid Health Problems and Musculoskeletal Disorders Resulting in Musculoskeletal Complaints and Musculoskeletal Sickness Absence among Employees in Korea. Safety and Health at Work, 6(2), 128-133. https://doi.org/10.1016/j.shaw.2015.03.002
  • Dianat, I., Haslegrave, C.M. & Stedmon, A.W. (2014). Design options for improving protective gloves for industrial assembly work. Applied Ergonomics, 45(4), 1208-1217. https://doi.org/10.1016/j.apergo.2014.02.009
  • Fjell, Y., Alexanderson, K., Karlqvist, L. & Bildt, C. (2007). Self-reported musculoskeletal pain and working conditions among employees in the Swedish public sector. Work, 28, 33-46. Retrieved from: https://content.iospress.com/ articles/work/wor00594.
  • Konz, S. & Johnson, S. (2004). Work Design: Occupational Ergonomics, 6th ed., Scottsdale, AZ: Holcomb-Hathaway.
  • Mylon, P.T., Buckley-Johnstone, L., Lewis, R., Carré, M.J. & Martin, N. (2015). Factors influencing the perception of roughness in manual exploration: Do medical gloves reduce cutaneous sensibility? in Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 229(3), 273-284. https://doi.org/10.1177/135065011 3517111
  • Shariat, A., Mohd Tamrin, S.B., Arumugam, M., Danaee, M. & Ramasamy, R. (2016). Office exercise training to reduce and prevent the occurrence of musculoskeletal disorders among office workers: A hypothesis. Malaysian Journal of Medical Sciences, 23(4), 54-58. https://doi.org/10.21315/mjms2016.23.4.7
  • Sugiono, S., Soenoko, R. & Andriani, D. P. (2017). Analysis the relationship of physiological, environmental, and cow milk productivity using AI. In Proceedings of 2016 International Conference on Data and Software Engineering, ICoDSE 2016. https://doi.org/10.1109/ICODSE.2016.7936165
  • Sugiono, S., Soenoko, R. & Lukodono, R.P. (2017). A designing dairy cattle facilities based on statics/dynamic zoometry by using artificial intelligence. Telkomnika (Telecommunication Computing Electronics and Control), 15(1). https://doi.org/10.12928/TELKOMNIKA.v15i1.4677
  • Tetrick, L.E. & Peiró, J.M. (2012). Occupational safety and health. In S.W.J. Kozlowski (ed.), The Oxford Handbook of Organizational Psychology. Vol. 2 (pages 1228-1244). East Lansing, MI: Michigan State University. DOI 10.1093/oxfordhb/9780199928286.001.0001
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-39680bf4-08b7-4806-a054-b6c266765e2e
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