Co-bots to improve occupational health and safety: preliminary analysis and integration proposal at Dana-Transejes, Colombia
DOI:
https://doi.org/10.15649/2346030X.4538Palabras clave:
industry 4.0, autonomous mobile robot, industrial automation, operational efficiency, occupational safetyResumen
The adoption of advanced technologies, such as automation and robotics, is crucial in the era of Industry 4.0 for optimizing industrial processes. This article presents a detailed analysis and integration proposal of a collaborative robot (Co-BOT) at the DANA-Transejes production plant, focusing on improving occupational health and safety for operators while increasing operational efficiency. The methodology employed follows a mixed-methods approach, combining the characterization of the current process with qualitative and quantitative data provided by the company, along with direct observations. This characterization identified operational inefficiencies and ergonomic risks related to the manual handling of heavy loads. Based on these findings, a proposal for Co-BOT implementation was developed, detailing technical, operational, and economic aspects of the integration. The estimated results project a 15% reduction in production cycle times, an increase of 375 additional boxes per year, and a significant improvement in safety, reducing the risk of work-related injuries by 100% for specific tasks. Moreover, a reduction in costs due to recovery breaks and medical leaves is expected, contributing to an annual economic saving of approximately $23,950 USD. This study demonstrates the feasibility of implementing Co-BOTs in Latin American industrial environments, highlighting their potential as a cost-effective solution for improving competitiveness and operational sustainability in regions with limited investment in technological innovation.
Referencias
L. Li, “Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond,” Inf. Syst. Front., no. 0123456789, 2022, doi: 10.1007/s10796-022-10308-y.
P. H. Rosen, European Agency for Safety and Health at Work Advanced robotics and automation: implications for occupational safety and health. 2022.
Y. Dmytriyev, M. Carnevale, and H. Giberti, “Enhancing flexibility and safety: collaborative robotics for material handling in end-of-line industrial operations,” Procedia Comput. Sci., vol. 232, no. 2023, pp. 2588–2597, 2024, doi: 10.1016/j.procs.2024.02.077.
A. Giallanza, G. La Scalia, R. Micale, and C. M. La Fata, “Occupational health and safety issues in human-robot collaboration: State of the art and open challenges,” Saf. Sci., vol. 169, no. August 2023, p. 106313, 2024, doi: 10.1016/j.ssci.2023.106313.
International Labour Organization, “A call for safer and healthier working environments.,” 2022. [Online]. Available: https://www.ilo.org/publications/call-safer-and-healthier-working-environments.
R. Gihleb, O. Giuntella, L. Stella, and T. Wang, “Industrial robots, Workers’ safety, and health,” Labour Econ., vol. 78, no. May, p. 102205, 2022, doi: 10.1016/j.labeco.2022.102205.
M. Javaid, A. Haleem, R. P. Singh, S. Rab, and R. Suman, “Significant applications of Cobots in the field of manufacturing,” Cogn. Robot., vol. 2, no. June, pp. 222–233, 2022, doi: 10.1016/j.cogr.2022.10.001.
A. Cardoso, A. Colim, E. Bicho, A. C. Braga, M. Menozzi, and P. Arezes, “Ergonomics and human factors as a requirement to implement safer collaborative robotic workstations: A literature review,” Safety, vol. 7, no. 4, 2021, doi: 10.3390/safety7040071.
C. K. Wiederer, “MTI Practice Notes: Logistics Infrastructure Along the Belt and Road Initiative Economies,” 2018. [Online]. Available: http://documents.worldbank.org/curated/en/259561545148936579/Logistics-Infrastructure-Along-the-Belt-and-Road-Initiative-Economies.
Grupo Banco Mundial, “Gasto en investigación y desarrollo (% del PIB) | Data,” 2021. https://datos.bancomundial.org/indicador/GB.XPD.RSDV.GD.ZS (accessed Sep. 15, 2024).
B. Valenzuela-Klagges and D. Fuenzalida-O’Shee, “Effects of Foreign Investment and Competitiveness in Trade and Productivity of Latin American Countries,” Econ. y Soc., vol. 25, no. 57, pp. 1–17, 2020, doi: 10.15359/eys.25-57.6.
Y. Bekishev, Z. Pisarenko, and V. Arkadiev, “FMEA Model in Risk Analysis for the Implementation of AGV/AMR Robotic Technologies into the Internal Supply System of Enterprises,” Risks, vol. 11, no. 10, 2023, doi: 10.3390/risks11100172.
J. Cornejo et al., “Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation,” Emerg. Sci. J., vol. 7, no. 4, pp. 1430–1458, 2023, doi: 10.28991/ESJ-2023-07-04-025.
A. F. Dos Santos, P. R. da Costa, C. N. Arantes, A. de Castro Pires, and C. B. S. Cirani, “Internationalization moderating the relationship between investment and innovation in small businesses in Latin America,” REGEPE Entrep. Small Bus. J., vol. 13, no. 2, 2024, doi: 10.14211/regepe.esbj.e2407.
R. Calvo and P. Gil, “Evaluation of Collaborative Robot Sustainable Integration in Manufacturing Assembly by Using Process Time Savings,” Materials (Basel)., vol. 15, no. 2, 2022, doi: 10.3390/ma15020611.
A. S. M. Sahan, S. Kathiravan, M. Lokesh, and R. Raffik, “Role of Cobots over Industrial Robots in Industry 5.0: A Review,” 2nd Int. Conf. Adv. Electr. Electron. Commun. Comput. Autom. ICAECA 2023, 2023, doi: 10.1109/ICAECA56562.2023.10201199.
W. Luo, L. Tang, Y. Yang, and X. Zou, “Robots as Guardians: Industrial Automation and Workplace Safety in China,” SSRN Electron. J., vol. 172, p. 103381, 2025, doi: 10.2139/ssrn.4681425.
F. A. Storm et al., “Physical and mental well-being of cobot workers: A scoping review using the Software-Hardware-Environment-Liveware-Liveware-Organization model,” Wiley, vol. 32, no. 5, pp. 419–435, 2022, doi: 10.1002/hfm.20952.
National Safety Council, “Improving Workplace Safety with Robotics,” 2023. [Online]. Available: https://seton.com/resource-center/products/lockout/buying-guide/%0Ahttps://www.nsc.org/faforms/fa-confirmation/work-to-zero-safety-technology-reports.
L. Li and P. Singleton, “The effect of industrial robots on workplace safety,” Cent. Policy Res., no. February, 2021.
D. KOH and A. TAN, “Applications and Impact of Industry 4.0 - Technological Innovations in Occupational Safety and Health,” Saf. Health Work, no. xxxx, pp. 9–11, 2024, doi: 10.1016/j.shaw.2024.09.001.
L. Piardi, P. Leitão, J. Queiroz, and J. Pontes, “Role of digital technologies to enhance the human integration in industrial cyber–physical systems,” Annu. Rev. Control, vol. 57, no. November 2023, p. 100934, 2024, doi: 10.1016/j.arcontrol.2024.100934.
O. Salunkhe, O. Stensöta, M. Åkerman, Å. F. Berglund, and P.-A. Alveflo, “Assembly 4.0: Wheel Hub Nut Assembly Using a Cobot,” IFAC Conf. Pap. Arch., vol. 52, no. 13, pp. 1632–1637, 2019, doi: 10.1016/j.ifacol.2019.11.434.
T. Wang, J. Fan, and P. Zheng, “An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing,” J. Manuf. Syst., vol. 75, no. April, pp. 299–305, 2024, doi: 10.1016/j.jmsy.2024.04.020.
N. Kulaç and M. Engin, “Developing a Machine Learning Algorithm for Service Robots in Industrial Applications,” Machines, vol. 11, no. 4, 2023, doi: 10.3390/machines11040421.
A. Castro, J. Baptista, F. Silva, and V. Santos, “Classification of handover interaction primitives in a COBOT–human context with a deep neural network,” J. Manuf. Syst., vol. 68, no. February, pp. 289–302, 2023, doi: 10.1016/j.jmsy.2023.03.010.
M. Paliga, “Human–cobot interaction fluency and cobot operators’ job performance. The mediating role of work engagement: A survey,” Rob. Auton. Syst., vol. 155, p. 104191, 2022, doi: 10.1016/j.robot.2022.104191.
A. Djuric, J. L. Rickli, V. M. Jovanovic, and D. Foster, “Hands-on learning environment and educational curriculum on collaborative robotics,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2017-June, 2017, doi: 10.18260/1-2--28428.
M. Vagas and A. Galajdova, “Methodology for Cobots Implementation Into the Assembly Applications,” MM Sci. J., vol. June 2022, pp. 5638–5642, 2022, doi: 10.17973/MMSJ.2022_06_2022016.
A. Dollar, F. Mondada, A. Rodriguez, and G. Metta, “Open-Source and Widely Disseminated Robot Hardware,” IEEE Robot. Autom. Mag., vol. 24, no. 1, pp. 30–31, 2017, doi: 10.1109/MRA.2016.2646068.
G. Lefranc, I. Lopez-Juarez, R. Osorio-Comparán, and M. Peña-Cabrera, “Impacts of Cobots on Automation,” Procedia Comput. Sci., vol. 214, no. C, pp. 71–78, 2022, doi: 10.1016/j.procs.2022.11.150.
A. Silva, A. Correia Simões, and R. Blanc, “Supporting decision-making of collaborative robot (cobot) adoption: The development of a framework,” Technol. Forecast. Soc. Change, vol. 204, no. April, 2024, doi: 10.1016/j.techfore.2024.123406.
A. L. P. C. Yeung, Simon S.; Genaidy, Ash; Deddens, James; Alhemood, “Prevalence of Musculoskeletal Symptoms in Single and Multiple Body Regions and Effects of Perceived Risk of Injury Among Manual Handling Workers,” Spine (Phila. Pa. 1976)., vol. 27, no. 19, pp. 2166–2172, 2022, Accessed: Oct. 11, 2024. [Online]. Available: https://journals.lww.com/spinejournal/abstract/2002/10010/prevalence_of_musculoskeletal_symptoms_in_single.17.aspx.
B. Lal, N. Vishnu Sakravarthy, M. A. Kumar, N. Chinthamu, and S. Pokhriyal, “Development of Product Quality with Enhanced Productivity in Industry 4.0 with AI Driven Automation and Robotic Technology,” Proc. 2023 2nd Int. Conf. Augment. Intell. Sustain. Syst. ICAISS 2023, pp. 184–189, 2023, doi: 10.1109/ICAISS58487.2023.10250736.
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