Application of Rula and Catia V5 in Designing Ergonomic Tools For Cleaning Staff Performance Improvement

Nugroho Agung; Asrul Dahlan; Septi Ningrum

doi:10.59976/jurit.v2i1.55

Authors

Nugroho Agung Universitas Dian Nuswantoro
Asrul Dahlan Universitas Dian Nuswantoro
Septi Ningrum Universitas Dian Nuswantoro

DOI:

https://doi.org/10.59976/jurit.v2i1.55

Abstract

Cleaning staff play an important role in maintaining environmental cleanliness, but most still use simple equipment with non-ergonomic working postures. This condition risks causing musculoskeletal disorders (MSDs) and reducing work productivity. This study aims to design an ergonomically-based tool for collecting trash and leaves that can improve the comfort and efficiency of sanitation workers. The method used is Rapid Upper Limb Assessment (RULA) to measure the level of work posture risk, combined with design analysis us-ing CATIA V5 software tailored to user anthropometric data. The results showed that the RULA score before using the tool was at level 5, indicating the need for immediate improvement. After design and simulation, the RULA score decreased to level 2, meaning that the risk of injury was significantly reduced. These findings prove that ergonomically-based tool design can reduce physical workload, minimize the risk of MSDs, and improve the work efficiency of cleaning staff. This research contributes to the development of ergonomic cleaning equipment innovations and can be used as a reference for the design of similar work tools in other sectors.

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References

V. N. Kakaraparthi, “Clinical Application of Rapid Upper Limb Assessment and Nordic Musculoskeletal Questionnaire in Work-Related Musculoskeletal Disorders: A Bibliometric Study,” 2023. doi: 10.3390/ijerph20031932.

S. K. Sardar, “Ergonomic Risk Assessment of Manufacturing Works in Virtual Reality Context,” Int. J. Hum. Comput. Interact., vol. 40, no. 14, pp. 3856–3872, 2024, doi: 10.1080/10447318.2023.2201558.

Y. J. Kwon, “A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model,” Int. J. Environ. Res. Public Health, vol. 19, no. 16, 2022, doi: 10.3390/ijerph19169803.

D. Kee, “Comparison of LEBA and RULA Based on Postural Load Criteria and Epidemiological Data on Musculoskeletal Disorders,” Int. J. Environ. Res. Public Health, vol. 19, no. 7, 2022, doi: 10.3390/ijerph19073967.

D. Battini, “WEM-Platform: A real-time platform for full-body ergonomic assessment and feedback in manufacturing and logistics systems,” Comput. Ind. Eng., vol. 164, 2022, doi: 10.1016/j.cie.2021.107881.

H. Lin, “Cervical Spine Microsurgery with the High-Definition 3D Exoscope: Advantages and Disadvantages,” World Neurosurg., vol. 161, 2022, doi: 10.1016/j.wneu.2021.07.033.

M. Weitbrecht, “Ergonomic Risk Assessment of Oral and Maxillofacial Surgeons – RULA Applied to Objective Kinematic Data,” Hum. Factors, vol. 65, no. 8, pp. 1655–1673, 2023, doi: 10.1177/00187208211053073.

Z. Wang, “Promotion of Low-Temperature Catalytic Activity of Ru-Based Catalysts for Ammonia Decomposition via Lanthanum and Cesium Codoping,” ACS Sustain. Chem. Eng., vol. 12, no. 14, pp. 5620–5631, 2024, doi: 10.1021/acssuschemeng.4c00176.

D. Kee, “Systematic Comparison of OWAS, RULA, and REBA Based on a Literature Review,” 2022. doi: 10.3390/ijerph19010595.

F. Holzgreve, “Home office versus ergonomic workstation - is the ergonomic risk increased when working at the dining table? An inertial motion capture based pilot study,” BMC Musculoskelet. Disord., vol. 23, no. 1, 2022, doi: 10.1186/s12891-022-05704-z.

F. Holzgreve, “Effects of Resistance Training as a Behavioural Preventive Measure on Musculoskeletal Complaints, Maximum Strength and Ergonomic Risk in Dentists and Dental Assistants,” Sensors Basel Switz., vol. 22, no. 20, 2022, doi: 10.3390/s22208069.

G. E. Navas-Reascos, “Wire Harness Assembly Process Supported by a Collaborative Robot: A Case Study Focus on Ergonomics,” Robotics, vol. 11, no. 6, 2022, doi: 10.3390/robotics11060131.

P. Boriboonsuksri, “Ergonomic Task Analysis for Prioritization of Work-Related Musculoskeletal Disorders among Mango-Harvesting Farmers,” Safety, vol. 8, no. 1, 2022, doi: 10.3390/safety8010006.

S. Palikhe, “Ergonomic Risk Assessment of Aluminum Form Workers’ Musculoskeletal Disorder at Construction Workstations Using Simulation,” Sustain. Switz., vol. 14, no. 7, 2022, doi: 10.3390/su14074356.

S. Tahernejad, “Investigation of office workers’ sitting behaviors in an ergonomically adjusted workstation,” Int. J. Occup. Saf. Ergon., vol. 28, no. 4, pp. 2346–2354, 2022, doi: 10.1080/10803548.2021.1990581.

S. O. Jeong, “CREBAS: Computer-Based REBA Evaluation System for Wood Manufacturers Using MediaPipe,” Appl. Sci. Switz., vol. 13, no. 2, 2023, doi: 10.3390/app13020938.

M. C. Lim, “Prevalence of upper limb musculoskeletal disorders and its associated risk factors among janitorial workers: A cross-sectional study,” Ann. Med. Surg., vol. 73, 2022, doi: 10.1016/j.amsu.2021.103201.

C. Fan, “3D pose estimation dataset and deep learning-based ergonomic risk assessment in construction,” Autom. Constr., vol. 164, 2024, doi: 10.1016/j.autcon.2024.105452.

P. Paudel, “Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation,” Electron. Switz., vol. 11, no. 20, 2022, doi: 10.3390/electronics11203403.

S. Das, “Analysis of Musculoskeletal Disorder Risk in Cotton Garment Industry Workers,” J. Nat. Fibers, vol. 20, no. 1, 2023, doi: 10.1080/15440478.2022.2162182.

M. Joshi, “Study of association between OWAS, REBA and RULA with perceived exertion rating for establishing applicability,” Theor. Issues Ergon. Sci., vol. 23, no. 3, pp. 313–332, 2022, doi: 10.1080/1463922X.2021.1958951.

D. Kee, “Participatory Ergonomic Interventions for Improving Agricultural Work Environment: A Case Study in a Farming Organization of Korea,” Appl. Sci. Switz., vol. 12, no. 4, 2022, doi: 10.3390/app12042263.

M. Afonso, “Proposal of an innovative ergonomic SMED model in an automotive steel springs industrial unit,” Adv. Ind. Manuf. Eng., vol. 4, 2022, doi: 10.1016/j.aime.2022.100075.

P. B. Rodrigues, “Ergonomic assessment of office worker postures using 3D automated joint angle assessment,” Adv. Eng. Informatics, vol. 52, 2022, doi: 10.1016/j.aei.2022.101596.

T. Zhang, “Ru alloying with La or Y for ammonia synthesis via integrated dissociative and associative mechanism with superior operational stability,” Chem. Eng. Sci., vol. 252, 2022, doi: 10.1016/j.ces.2021.117255.

A. Villalobos, “Prediction of slaughterhouse workers’ RULA scores and knife edge using low-cost inertial measurement sensor units and machine learning algorithms,” Appl. Ergon., vol. 98, 2022, doi: 10.1016/j.apergo.2021.103556.

M. M. Mahantesh, “Design and modeling using finite element analysis for the sitting posture of computer users based on ergonomic perspective,” Int. J. Interact. Des. Manuf., vol. 18, no. 8, pp. 5875–5891, 2024, doi: 10.1007/s12008-023-01383-9.

M. Rossi, “A comparison of different waste collection methods: Environmental impacts and occupational risks,” J. Clean. Prod., vol. 368, 2022, doi: 10.1016/j.jclepro.2022.133145.

V. M. Manghisi, “A Virtual Reality Approach for Assisting Sustainable Human-Centered Ergonomic Design: The ErgoVR tool,” 2022. doi: 10.1016/j.procs.2022.01.335.

W. Mao, “ARE-Platform: An Augmented Reality-Based Ergonomic Evaluation Solution for Smart Manufacturing,” Int. J. Hum. Comput. Interact., vol. 40, no. 11, pp. 2822–2837, 2024, doi: 10.1080/10447318.2023.2173894.