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Exploration of Human–Robot Collaborative Two-Sided Assembly Line Optimization Based on Workload Balancing

Nian Lu, Xuan Zhu
Vol.10, No.3, pp.141-152, 2026 DOI: 10.62051/ijgem.v10n3.15 March 28, 2026
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Abstract: In the context of Industry 4.0, collaborative robots, as a key enabler of intelligent manufacturing, are increasingly being introduced into assembly environments, forming a novel human–robot collaborative paradigm with workers. This study focuses on the optimal allocation of human–robot collaborative assembly tasks in two-sided assembly line scenarios. A systematic investigation is conducted on assembly line balancing modeling methods incorporating both physical and cognitive workload evaluation mechanisms. On this basis, a multi-objective optimization model is developed with production cycle time, cost, working time, and workload balance as the primary objectives. Furthermore, the conventional Migrating Birds Optimization (MBO) algorithm is extended to a multi-objective framework and enhanced with adaptive improvement strategies to improve solution effectiveness and distribution. The results provide theoretical support and methodological insights for developing human-centric and efficiency-oriented collaborative production systems.
Keywords: Human–robot collaboration, Workload, Assembly line balancing, Multi-objective optimization, Migrating birds optimization algorithm
APA Citation: Nian Lu, Xuan Zhu (2026). Exploration of Human–Robot Collaborative Two-Sided Assembly Line Optimization Based on Workload Balancing. International Journal of Global Economics and Management, 10(3), 141-152. https://doi.org/10.62051/ijgem.v10n3.15

References

  1. Hu, C. Exploration of application models of collaborative robots in industrial production. Mould Manufacturing, Vol. 25(6), pp. 243–245, 2025.
  2. Zhong, W., Li, J., Ge, R., et al. A brief analysis of the application of collaborative robots in automotive final assembly. China Equipment Engineering, Vol. (S2), pp. 351–353, 2024.
  3. Chen, X., Tong, M., & Xiu, S. Application and development of human–robot collaborative robots in the automotive final assembly industry. Precision Manufacturing and Automation, Vol. (03), pp.1–4, 2020.
  4. Guan, M., Yuan, P., & Wang, S. Study on bilateral assembly line balancing problem based on hybrid fruit fly algorithm. Computer Integrated Manufacturing Systems, Vol. 31(1), pp.56–66, 2025.
  5. Lan, Y., Wu, J., Yan, H., et al. Comparative study of bus driver posture risk assessment using OWAS, RULA, and REBA. Chinese Journal of Industrial Medicine, Vol. 38(2), pp. 118+125+119–124, 2025.
  6. Yu, S., Jia, N., Xu, M., et al. Application and comparison of OWAS and RULA posture load assessment methods in the steel industry. Occupational Health and Emergency Rescue, Vol. 41(2), pp. 166–171, 2023.
  7. Biondi, F. N., Cacanindin, A., Douglas, C., & Cort, J. Overloaded and at Work: Investigating the Effect of Cognitive Workload on Assembly Task Performance. Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 63(5), pp. 813–820, 2020.
  8. Dalle Mura, M., & Dini, G. Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm. The International Journal of Advanced Manufacturing Technology, Vol.118(9-10), pp.2901–2914, 2021.
  9. Lee, T. O., Kim, Y., & Kim, Y. K. Two-sided assembly line balancing to maximize work relatedness and slackness. Computers & Industrial Engineering, Vol. 40(3), pp.273–292, 2001.
  10. Mao, Z., Sun, Y., Fang, K., Huang, D., & Zhang, J. Balancing and scheduling of assembly line with multi-type collaborative robots. International Journal of Production Economics, Vol. 271, pp.109207, 2024.
  11. Nourmohammadi, A., Fathi, M., & Ng, A. H. C. Balancing and scheduling assembly lines with human-robot collaboration tasks. Computers & Operations Research, Vol. 140, pp.105674, 2022.
  12. Otto, A., & Scholl, A. Incorporating ergonomic risks into assembly line balancing. European Journal of Operational Research, Vol. 212(2), pp.277–286, 2011.
  13. Ren, B., Zhou, Q., & Chen, J. Assessing cognitive workloads of assembly workers during multi-task switching. Scientific Reports, Vol. 13(1), 2023.
  14. Stecke, K. E., & Mokhtarzadeh, M. (2021). Balancing collaborative human–robot assembly lines to optimise cycle time and ergonomic risk. International Journal of Production Research, pp.1–23.
  15. Wang, L., Gao, R., Váncza, J., Krüger, J., Wang, X. V., Makris, S., & Chryssolouris, G. Symbiotic human-robot collaborative assembly. CIRP Annals, Vol. 68(2), pp.701–726, 2019.
  16. Weckenborg, C., Kieckhäfer, K., Müller, C., Grunewald, M., & Spengler, T. S. Balancing of assembly lines with collaborative robots. Business Research, Vol. 13(1), pp.93–132, 2019.