Ergonomic Evaluation of the Manual Material Handling Tasks in the Food Industries of Malard County Using the 3D "Static Strength Prediction Program" and the Key Indicator Method (KIM)

Authors

Abstract

Background: Manual material handling tasks can cause fatigue in the short term and, in the long run, increase physical workload and musculoskeletal injuries in individuals. The  The present study was conducted with the aim of ergonomic evaluation of the manual material handling tasks.
 
Methods: This descriptive-analytical and cross-sectional study was carried out on 100 workers in the food industries of Malard County in 2017. The Nordic questionnaire was used to determine the frequency of musculoskeletal disorders, and the 3DSSPP software, as well as the KIM key indicator method, were used for the ergonomic assessment of the manual material handling tasks. Data analysis was performed using SPSS software (version 23).
 
Results: The most frequent musculoskeletal discomfort was in the foot and the ankle (26%). The key indicator method showed that the final risk score in 61% of the tasks ranged from 10 to 24, and in 39% between 25 and 49. Also, the results of 3DSSPP software showed that the compressive and shear forces on the L5 / S1 disc were higher than the permissible limit in 30 and 8 percent of the workers' posture, respectively.
 
Conclusion: Most of the risk factors for manual material handling tasks in this study were thoroughly and accurately evaluated using both the KIM key indicator method and 3DSSPP software. Therefore, with this evaluation, the ergonomic conditions for manual material handling can be improved more precisely.

Keywords


1. Lin CJ, Wang SJ, Chen HJ. A field evaluation method for assessing whole body biomechanical joint stress in manual lifting tasks. Ind Health 2006;44(4):604-12. doi.org/10.2486/indhealth.44.604 2. Motamedzade M, Dormohammadi A, Amjad Sardrodi H, Zarei E, Dormohammadi R, Shafii Motlagh M. The role of ergonomic design and application of NIOSH method in improving the safety of load lifting tasks. Arak Medical University Journal 2013; 16(75): 90-100. Persian 3. Asadi N, Choobineh A, Keshavarzi S, Daneshmandi H. Estimation of forces exerted on the lower back in manual load lifting using 3DSSPP software. J Ergon 2015;2(4):25-31. Persian 4. Rossi D, Bertoloni E, Fenaroli M, Marciano F, Alberti M. A multi-criteria ergonomic and performance methodology for evaluating alternatives in “manuable” material handling. International Journal of Industrial Ergonomics 2013;43(4):314-27. doi:10.1016/j.ergon.2013.04.009 5. Gagnon D, Plamondon A, Lariviere C. A biomechanical comparison between expert and novice manual materials handlers using a multi-joint EMG-assisted optimization musculoskeletal model of the lumbar spine. J Biomech 2016;49(13):2938-2945. doi: 10.1016/j.jbiomech.2016.07.009. 6. Faghih MA, Motamedzadeh M, Mohammadi H. Habibi Mohraz M, Bayat H, Arassi M, et al. Manual material handling assessment by snook tables in Hamadan casting workshops. Iran Occupational Health 2013; 10(1):60-9. Persian 7. Greenland KO, Merryweather AS, Bloswick DS. Prediction of peak back compressive forces as a function of lifting speed and compressive forces at lift origin and destination - a pilot study. Saf Health Work 2011; 2(3): 236–42. doi: 10.5491/SHAW.2011.2.3.236 8. Motamedzadeh M, Shafiei Motlagh M, Darvishi E. Ergonomics intervention in manual handling of oxygen cylinders in a steel industry. Journal of Health and Safety at Work 2013;3(1):19-28. Persian 9. Workplace Health and Safety bulletin. Lifting and Handling Loads – Part 1 Reviewing the Issues; 2010. [cited 2018 Nov 6]. Availble from: https://open.alberta.ca/dataset/a0e6170e-631d-4f2a-98a8-5a91348e0506/resource/c1b0d81b-0d79-43a9-9526-d55b35ce8e82/download/2691963-2010-08-lifting-and-handling-loads-part-1.pdf 10. Eskandari D, Nourizadeh N, Saadati H, Mohammadpour S Gholami A, The prevalence of musculoskeletal disorders and occupational risk factors in Kashan SAIPA automobile industry workers by key indicator method (KIM), 1390. Journal of Health and Safety at Work 2012;2(1):27-36. Persian 11. Dormohammadi A, Motamedzade M, Amjad Sardrudi H, Zarei E, Asghari M, Musavi S. Comparative assessment of manual material handling using the two methods of NIOSH lifting equation in a tile manufacturing company MAC and revised. Iran Occupational Health Journal 2013;10(5):71-81. Persian 12. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987;18(3):233-7. doi.org/10.1016/0003-6870(87)90010-X 13. Allahyari T, Hedayati S, Khalkhali H, Ghaderi F. A comparative survey on forces exerted to low back in patient manual handling. J Ergon 2014;2(2):1-8. Persian 14. Keikhamoghaddam AA. Ergonomics Assessment Methods.1th. Tehran: Fanavaran; 2011 Persian 15. The University of Michigan Center for Ergonomics. 3D Static Strength Prediction Program Version 7.01 User's Manual; 2017. [cited 2017 Nov 7] Available from: https://c4e.engin.umich.edu/assets/3DSSPP-Version-7.0.1-Manual.pdf 16. Tayefe Rahimian J, Choobineh A, Dehghan N, Tayefe Rahimian R, Kolahi H, Abbasi M, et al. Ergonomic evaluation of exposure to musculoskeletal disorders risk factors in welders. J Ergon 2014;1(3):18-26. Persian 17. Habibi E, Gharib S, Shakerian M, Hasanzadeh A. Musculoskeletal disorders and ergonomics of workers involved with analyzing the situation manually carrying goods in the dairy industry. Journal of Health System Research 2010;6(4):649- 57. Persian 18. Motamedzade M, Payoon A, Heydari Moghaddam R, Fradmal J, Babamiri M, Heydari P. Physical ergonomic assessment by Key Indicator Index (KIM) and ergonomics intervention in a detergent-producing industry. Journal of Ergonomics 2017;5(1):43-50. Persian 19. Morshedi R, Boazar M, Afshari D, Ahmadi Angali K, Malek zadeh M. Biomechanical analysis of manual lifting of loads and ergonomics solutions for nursing assistants. Journal of Ergonomics 2015;3(1):17-24. Persian 20. Mazlomi A, Keykhmaghdam AA, Tabatabaee S F, Mokhtari Nia H. Ergonomic evaluation of occupational low back pain using digital human modeling (DHM) and proposing its preventive countermeasures in one of car manufacturing industry. Journal of Health and Safety at Work 2012;1(1):31-8. Persian