Digital Human Modelling–Driven Ergonomic Risk Assessment, Workstation Redesign, and Usability Evaluation in a Manufacturing Assembly Line
Authors
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Industrial and Manufacturing Engineering Technology (FTKIP), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka, Hang Tuah , 76100 Durian Tunggal, Melaka (Malaysia)
Mechanical Engineering Programme Area, Universiti Teknologi Brunei, Gadong BE1410, Brunei Darussalam (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.100300585
Subject Category: Technology
Volume/Issue: 10/3 | Page No: 8082-8095
Publication Timeline
Submitted: 2026-04-02
Accepted: 2026-04-07
Published: 2026-04-21
Abstract
This study applies a digital human modelling–driven approach to ergonomic risk assessment, workstation redesign, and usability evaluation in a manufacturing assembly line. Work-related musculoskeletal disorders (WMSDs) remain a major occupational health concern in manufacturing environments, particularly in standing manual assembly workstations. Inadequate workstation design often leads to awkward postures, prolonged static loading, and repetitive movements, contributing to discomfort, fatigue, and reduced productivity. This study evaluates ergonomic risks associated with working postures at a manual insert workstation in an air-conditioner manufacturing company using Digital Human Modelling (DHM) integrated with Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA). A cross-sectional assessment involving ten female operators was conducted using observational analysis, anthropometric measurement, and the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ). Existing work postures were simulated in CATIA to quantify ergonomic risk levels. Based on identified risk factors, an ergonomically improved workstation was designed and re-evaluated using RULA. Results showed that the existing workstation posed medium to very high ergonomic risks (RULA scores up to 7; REBA scores up to 11), particularly affecting the neck, lower back, and lower limbs. The redesigned workstation reduced the RULA score to 3, indicating a substantial improvement in postural risk. The findings demonstrate the effectiveness of DHM-supported ergonomic interventions in reducing WMSDs risk and highlight the importance of user-centered workstation design in manufacturing settings.
Keywords
Digital Human Modelling; Ergonomics; RULA; REBA
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References
1. Benharkat, N. E. H., Kaced, S. B., Chakhrit, A., & Chergui, A. (2025). Automatic real time ergonomic posture assessment using digital models: A case study of manual handling tasks. The International Journal of Advanced Manufacturing Technology, 142, 963–980. https://doi.org/10.1007/s00170 025 17232 w [Google Scholar] [Crossref]
2. Okpala, C. C., & Chukwutoo, C. (2017). Ergonomics improvements in a paint manufacturing company. International Research Journal of Engineering and Technology, 4(10), 1985–1993. [Google Scholar] [Crossref]
3. Hedge, A., Morimoto, S., & McCrobie, D. (1999). Cornell musculoskeletal discomfort questionnaire (CMDQ). Cornell University. https://doi.org/10.1037/t60061 000 [Google Scholar] [Crossref]
4. Hignett, S., & McAtamney, L. (2000). Rapid entire body assessment (REBA). Applied Ergonomics, 31(2), 201–205. https://doi.org/10.1016/S0003 6870(99)00039 3 [Google Scholar] [Crossref]
5. International Labour Organization. (2021). Principles and guidelines for human factors/ergonomics (HFE) design and management of work systems. ILO. https://www.ilo.org [Google Scholar] [Crossref]
6. Halim, I., Saptari, Abdullah, Z., A., Perumal, P., Abidin, M. Z. Z., & Muhammad, M. N. (2022). Critical factors influencing user experience on passive exoskeleton application: A review. International Journal of Integrated Engineering, 14(4), 89-115. https://doi.org/10.30880/ijie.2022.14.04.009 [Google Scholar] [Crossref]
7. Kamat, S. R., Mohd Azli, A. N., & Ani, M. F. (2022). Ergonomics study of standing work postures in assembly processes at a small and medium manufacturing company. In Intelligent Manufacturing and Mechatronics (pp. 275–284). Springer. https://doi.org/10.1007/978 981 16 8954 3_26 [Google Scholar] [Crossref]
8. Kamalikhah, T., Safarian, M. H., Rahmati Najarkolaei, F., & Yaghoubi, M. (2018). A comparison of ergonomic, organizational, and educational interventions on reducing musculoskeletal disorders in office workers. Health Scope, 7(1), e68422. https://doi.org/10.5812/jhealthscope.68422 [Google Scholar] [Crossref]
9. McAtamney, L., & Corlett, E. N. (1993). RULA: A survey method for the investigation of work related upper limb disorders. Applied Ergonomics, 24(2), 91–99. https://doi.org/10.1016/0003 6870(93)90080 S [Google Scholar] [Crossref]
10. Occupational Safety and Health Administration. (2008). Ergonomics for the prevention of musculoskeletal disorders: Guidelines for shipyards. U.S. Department of Labor. https://www.osha.gov [Google Scholar] [Crossref]
11. Vahdani, M., Khalaf, G. H., & Afsari, A. (2014). Analysis and comparison of design for manufacturing software and CATIA software for machining cost evaluation. Research Journal of Applied Sciences, Engineering and Technology, 7(19), 4098–4104. https://doi.org/10.19026/rjaset.7.775 [Google Scholar] [Crossref]
12. Yusof, A., & Shahida, M. S. N. (2021). Prevalence of musculoskeletal discomfort among workers in a medical manufacturing facility. International Journal of Automotive and Mechanical Engineering, 18(2), 8687–8694. https://doi.org/10.15282/ijame.18.2.2021.06.0662 [Google Scholar] [Crossref]
13. Zubair, M. U., Khan, H., Ahmed, K., Hassan, M. U., Manu, P., & Ahmad, J. (2025). Occupational postural hazards using integrated digital human modelling, RULA and REBA. Applied Sciences, 15(23), 12840. https://doi.org/10.3390/app152312840 [Google Scholar] [Crossref]
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