Toward the Implementation of Digital Twin for Assessing the Ergonomic Aspects on Manufacturing Process

Toward the Implementation of Digital Twin for Assessing the Ergonomic Aspects on Manufacturing Process

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© 2024 by IJETT Journal
Volume-72 Issue-1
Year of Publication : 2024
Author : Yunita Aulia, Rida Zuraida
DOI : 10.14445/22315381/IJETT-V72I1P114

How to Cite?

Yunita Aulia, Rida Zuraida, "Toward the Implementation of Digital Twin for Assessing the Ergonomic Aspects on Manufacturing Process," International Journal of Engineering Trends and Technology, vol. 72, no. 1, pp. 141-154, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I1P114

Abstract
Repetitive motion, awkward movement, and other factors can contribute to Musculoskeletal Disorders (MSDs) among operators. According to the Indonesian Health Ministry, approximately 11.9% of Indonesians have been diagnosed with musculoskeletal diseases and roughly 24.7% exhibit symptoms of MSDs. One of the divisions that have a similar problem is the shipping division of a shoe manufacturer, PT. XYZ, which requires a bent position during their shift. This study aims to address the prevalence and symptoms of MSDs in the operators’ posture, such as picking, putting and organizing the shoes. By employing a digital twin approach using Tecnomatix Jack software, the real-time conditions of operators were simulated to assess ergonomic aspects using the OWAS, LBA and NIOSH methods. To support the analysis, the Nordic Musculoskeletal Questionnaire was administered by collecting data directly from 35 operators. As input data for the ergonomic assessment, eight movements were studied to demonstrate a major hazard to the operator's musculoskeletal system due to the movements. All of the movements in the real-time situation get 3 as the OWAS scores, 1284-1743 N for the LBA score, and 0-0.220 for LI in the NIOSH assessment. Both simulation results and direct interviews underscore the importance of implementing improvements, such as workplace design, integration of additional tools, and motion studies. As part of the proposed improvement, the implementation of ergonomic tables and workspace relayout was undertaken.

Keywords
Digital twin, Ergonomic tables, Musculoskeletal disorder, Tecnomatix jack, Relayout.

References
[1] Allina Abdullah et al., “Ergonomic Evaluation of Musculoskeletal Disorder Risk Associated with Working Posture in the Cable Support System Factory,” International Journal of Advance and Applied Sciences, vol. 4, no. 12, pp. 193-198, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Indonesian Health Ministry, Laporan Nasional Riskesdas 2018, Indonesian Health Ministry, Jakarta, 2019. [Online]. Availbale: https://repository.badankebijakan.kemkes.go.id/id/eprint/3514
[3] World Health Organization, Musculoskeletal health, 2022. [Online]. Availbale: https://www.who.int/news-room/fact-sheets/detail/musculoskeletal-conditions#:~:text=Musculoskeletal%20health%20refers%20to%20the,joints%20and%20adjacent%20connective%20tissues.
[4] Bhawana Rathore, Ashok Kumar Pundir, and Rauf Iqbal, “Ergonomic Risk Factors in Glass Artware Industries and Prevalence of Musculoskeletal Disorder,” International Journal of Industrial Ergonomics, vol. 80, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] M. Saquib et al., “Factor Affecting Musculoskeletal Disorders and Cumulative Trauma Disorders in Workplace Design: A Review,” International Journal for Scientific Research and Development, vol. 4, no. 1, pp. 313-316, 2016.
[Publisher Link]
[6] Gouri Naik, and Mohammed Rajik Khan, “Prevalence of MSDs and Postural Risk Assessment in Floor Mopping Activity Through Subjective and Objective Measures,” Safety and Health at Work, vol. 11, no. 1, pp. 80-87, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Jocelyn D. Abad, “Ergonomics and Simulation-Based Approach in Improving Facility Layout,” Journal of Industrial Engineering International, vol. 14, pp. 783-791, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Maulshree Singh et al., “Applications of Digital Twin across Industries: A Review,” Applied Sciences, vol. 12, no. 11, pp. 1-28, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Raphael Wagner et al., “Challenges and Potentials of Digital Twins and Industry 4.0 in Product Design and Production for High Performance Products,” Procedia CIRP, vol. 84, pp. 88-93, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] David Guerra-Zubiaga et al., “An Approach to Develop a Digital Twin for Industry 4.0 Systems: Manufacturing Automation Case Studies,” International Journal of Computer Integrated Manufacturing, vol. 34, no. 9, pp. 933-949, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Alessandro Greco et al., “Digital Twin for Monitoring Ergonomics during Manufacturing Production,” Applied Sciences, vol. 10, no. 21, pp. 1-20, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Marlene Ferreira Brito et al., “A Continuous Improvement Assessment Tool, Considering Lean, Safety And Ergonomics,” International Journal of Lean Six Sigma, vol. 11, no. 5, pp. 879-902, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Mahdi Mokhtarzadeh, Masoud Rabbani, and Neda Manavizadeh, “A Novel Two-Stage Framework for Reducing Ergonomic Risks of a Mixed-Model Parallel U-Shaped Assembly-Line,” Applied Mathematical Modelling, vol. 93, pp. 597-617, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Rahul Jain et al., “Ergonomic Assessment and Hand Tool Redesign for the Small Scale Furniture Industry,” Materialstoday : Proceedings, vol. 44, pp. 4952-4955, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Dohyung Kee, “Comparison of OWAS, RULA and REBA for Assessing Potential Work-Related Musculoskeletal Disorders,” International Journal of Industrial Ergonomics, vol. 83, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Meral Isler, Mehmet Küçük, and Mücella Guner, “Ergonomic Assessment of Working Postures in Clothing Sector with Scientific Observation Methods,” International Journal of Clothing Science and Technology, vol. 30, no. 6, pp. 757-771, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Jocelyn D. Abad, “Ergonomics and Simulation-Based Approach in Improving Facility Layout,” Journal of Industrial Engineering International, vol. 14, pp. 783–791, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Okka Adiyanto et al., “Application of Nordic Body Map and Rapid Upper Limb Assessment for Assessing Work-related Musculoskeletal Disorders: A Case Study in Small and Medium Enterprises,” International Journal of Integrated Engineering, vol. 14, no. 4, pp. 10-19, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Vito M. Manghisi et al., “Automatic Ergonomic Postural Risk Monitoring on the Factory Shopfloor ‒ the Ergosentinel Tool,” Procedia Manufacturing, vol. 42, pp. 97-103, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] F. Caputo et al., “Digital Twins to Enhance the Integration of Ergonomics in the Workplace Design,” International Journal of Industrial Ergonomics, vol. 71, pp. 20-31, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Thedy Yogasara and Chrisye FionaWenas, “The Application of the Revised NIOSH Lifting Equation and REBA Method in Manual Work Evaluation (A Case Study at PT. Caladi Lima Sembilan, Bandung),” 8 th South East Asia Ergonomics Society Conference, 12th Indonesian Physiological Society Congress - 15th Scientific Seminar, Denpasar, 2005. 
[Google Scholar] [Publisher Link]
[22] Roland Gauthy, Musculoskeletal Disorders. An Ill-Understood Pandemic, 2007. [Online]. Available: https://www.etui.org/publications/guides/musculoskeletal-disorders-an-ill-understood-pandemic