Reducing ergonomic risks in intralogistics: Combining Supplier to Warehouse , ABC analysis, and a user-centered VNS-GA hybrid algorithm
DOI:
https://doi.org/10.61467/2007.1558.2027.v18i1.1461Keywords:
User-Centered Design, VNS-GA, Warehouse OptimizationAbstract
The increase in occupational accidents and ergonomic risks in intralogistics operations represents a recurring problem in warehouses, especially during loading, unloading, and material handling activities, where traditional layout and optimization tools are insufficient to simultaneously integrate operational and human criteria. In response to this issue, this study developed and validated an integrated warehouse design framework aimed at reducing ergonomic risks and improving operational performance. The proposed approach combines the Supplier-to-Warehouse model, ABC inventory analysis, and a user-centered hybrid Variable Neighborhood Search–Genetic Algorithm (VNS-GA). A mixed-methods, quasi-experimental approach was applied in two SMEs located in Hidalgo, Mexico. Results showed significant improvements in operational times, travel distances, productivity, incident reduction, and ergonomic risk, demonstrating that integrating ergonomic and operational criteria enhances efficiency, safety, and worker well-being.
Spanish-language metadata / Metadatos en español
Título en español:
Reducción de riesgos ergonómicos en intralogística: combinación de Supplier-to-Warehouse, análisis ABC y un algoritmo híbrido VNS-GA centrado en el usuario
Resumen:
El aumento de los accidentes laborales y de los riesgos ergonómicos en las operaciones intralogísticas representa un problema recurrente en los almacenes, especialmente durante las actividades de carga, descarga y manipulación de materiales, en las que las herramientas tradicionales de distribución de planta y optimización resultan insuficientes para integrar simultáneamente criterios operativos y humanos. En respuesta a esta problemática, este estudio desarrolló y validó un marco integrado de diseño de almacenes orientado a reducir los riesgos ergonómicos y mejorar el desempeño operativo.
El enfoque propuesto combina el modelo Supplier-to-Warehouse, el análisis ABC de inventarios y un algoritmo híbrido de Búsqueda de Vecindad Variable–Algoritmo Genético (VNS-GA) centrado en el usuario. Se aplicó un enfoque de métodos mixtos con diseño cuasiexperimental en dos pequeñas y medianas empresas (PYMES) ubicadas en Hidalgo, México.
Los resultados mostraron mejoras significativas en los tiempos operativos, las distancias recorridas, la productividad, la reducción de incidentes y el riesgo ergonómico, lo que demuestra que la integración de criterios ergonómicos y operativos mejora la eficiencia, la seguridad y el bienestar de los trabajadores.
Palabras Claves:
Diseño centrado en el usuario, VNS-GA, optimización de almacenes.
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References
Blandford, A., Bindman, J., Bradbury, K., Cooper, B., Costanza, E., Edwards, S. L., Hamilton, F. L., Heightman, M., Hurst, J. R., Hylton, H., Linke, S., Pfeffer, P., Ricketts, W., Robson, C., Stevenson, F., Sunkersing, D., Waywell, J., & Goodfellow, H. (2025). Experiences of user-centred design with agile development for clinically supported self-management of Long Covid. ACM Transactions on Computer-Human Interaction, 32(1), Article 6. https://doi.org/10.1145/3711839
Brimberg, J., Salhi, S., Todosijević, R., & Urošević, D. (2023). Variable neighborhood search: The power of change and simplicity. Computers & Operations Research, 155, 106221. https://doi.org/10.1016/j.cor.2023.106221
Caicedo, A. M., Manzano, J. A., Gómez-Vélez, D. F., & Gómez, L. (2015). Factores de riesgo, evaluación, control y prevención en el levantamiento y transporte manual de cargas. Revista Colombiana de Salud Ocupacional, 5(2), 5–9. https://doi.org/10.18041/2322-634X/rcso.2.2015.4890
Casella, G., Volpi, A., Montanari, R., Tebaldi, L., & Bottani, E. (2023). Trends in order picking: A 2007–2022 review of the literature. Production & Manufacturing Research, 11(1), 2191115. https://doi.org/10.1080/21693277.2023.2191115
Díaz, J., Rodriguez, H., Fajardo-Calderín, J., Angulo, I., & Onieva, E. (2024). A variable neighbourhood search for minimization of operation times through warehouse layout optimization. Logic Journal of the IGPL, 32(4), 688–699. https://doi.org/10.1093/jigpal/jzae018
Dul, J., & Weerdmeester, B. (2008). Ergonomics for beginners: A quick reference guide (3rd ed.). CRC Press. https://doi.org/10.1201/9781420077520
Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Hilmi, A. H., Abdul Hamid, A. R., & Wan Ibrahim, W. A. R. A. (2024). Human-centered ergonomics: Advancements, challenges, and future directions in industrial and occupational settings. Malaysian Journal of Ergonomics (MJEr), 6(1), 90–104. https://doi.org/10.58915/mjer.v6.2024.1311
Iglesias López, A. L. (2024). Logística interna: 10 claves para la gestión óptima del almacén. ESIC Editorial.
International Labour Organization. (2023, November 26). Nearly 3 million people die of work-related accidents and diseases. ILO source
International Organization for Standardization. (2016). Ergonomics principles in the design of work systems (ISO Standard No. 6385:2016). ISO record
International Organization for Standardization. (2019). Ergonomics of human-system interaction—Part 210: Human-centred design for interactive systems (ISO Standard No. 9241-210:2019). ISO record
Kokroko, B. Y., Kobi, J., & Yeboah, E. K. (2025). Warehouse layout design maximization of storage efficiency minimization of travel distances using simulation models and optimization algorithms. International Journal of Innovative Science and Research Technology, 10(10), 3236–3280. https://doi.org/10.38124/ijisrt/25oct1431
Krajewski, L. J., Malhotra, M. K., & Ritzman, L. P. (2019). Operations management: Processes and supply chains (12th ed.). Pearson.
Lesch, V., Müller, P. B. M., Krämer, M., Hadry, M., Kounev, S., & Krupitzer, C. (2023). Optimizing storage assignments, order picking, and their interaction in mezzanine warehouses. Applied Intelligence, 53, 18605–18629. https://doi.org/10.1007/s10489-022-04443-x
Li, H., Zhou, J., Niu, Q., Feng, M., & Zhou, D. (2024). Layout optimization of logistics and warehouse land based on a multi-objective genetic algorithm—Taking Wuhan City as an example. ISPRS International Journal of Geo-Information, 13(7), Article 240. https://doi.org/10.3390/ijgi13070240
Li, K., & Tian, H. (2022). A multiobjective variable neighborhood search with learning and swarm for permutation flowshop scheduling with sequence-dependent setup times. Processes, 10(9), Article 1786. https://doi.org/10.3390/pr10091786
Liu, L., Lee, L. S., Seow, H.-V., & Chen, C. Y. (2022). Logistics center location-inventory-routing problem optimization: A systematic review using PRISMA method. Sustainability, 14(23), Article 15853. https://doi.org/10.3390/su142315853
Loske, D., Klumpp, M., Keil, M., & Neukirchen, T. (2021). Logistics work, ergonomics and social sustainability: Empirical musculoskeletal system strain assessment in retail intralogistics. Logistics, 5(4), Article 89. https://doi.org/10.3390/logistics5040089
Matić, D., Kratica, J., Filipović, V., & Dugošija, D. (2012). Variable neighborhood search for multiple level warehouse layout problem. Electronic Notes in Discrete Mathematics, 39, 161–168. https://doi.org/10.1016/j.endm.2012.10.022
Mojumder, M. U., & Nuruzzaman, M. (2025). AI-driven optimization of warehouse layout and material handling: A quantitative study on efficiency and space utilization. Review of Applied Science and Technology, 4(2), 233–273. https://doi.org/10.63125/bgxb1z53
Muttaqin, I. (2025). Human-centered ergonomic design in Industry 5.0: Enhancing productivity and worker wellbeing. Jurnal Riset Teknologi Pencegahan Pencemaran Industri, 16(1), 41–50. https://doi.org/10.21771/jrtppi.2025.v16.no1.p41-50
Nasir, D., Venkitasubramony, R., & Jakhar, S. K. (2025). Ergonomics in warehouse design and operations: A systematic literature review. Operational Research, 25(1), Article 10. https://doi.org/10.1007/s12351-024-00892-z
Nguyen Ngoc, H., Lasa, G., & Iriarte, I. (2022). Human-centred design in industry 4.0: Case study review and opportunities for future research. Journal of Intelligent Manufacturing, 33(1), 35–76. https://doi.org/10.1007/s10845-021-01796-x
Norasedsophon, S., & Trakoonsanti, L. (2026). Factors affecting warehouse cost reduction: A case study of ABC Company. In International Academic Multidisciplinary Research Conference Shanghai 2026 (pp. 194–204). ICBTS.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pratama, R. B., & Putri, C. B. (2025). Optimization of material layout at the warehouse laboratory of PEM Akamigas through a class based storage approach. International Journal of Science and Society, 7(2), 532–543. https://doi.org/10.54783/ijsoc.v7i2.1468
Sánchez Cruz, M. A. (2025). Estrategias 4.0: optimización de la logística a través de la gestión eficiente de las operaciones con los proveedores. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 6(3), 706–717. https://doi.org/10.56712/latam.v6i3.3978
Silva, A., Roodbergen, K. J., Coelho, L. C., & Darvish, M. (2022). Estimating optimal ABC zone sizes in manual warehouses. International Journal of Production Economics, 252, Article 108579. https://doi.org/10.1016/j.ijpe.2022.108579
Taheri, F., & Farhang Moghaddam, B. (2022). A heuristic-based hybrid algorithm to configure a sustainable supply chain network for medical devices considering information-sharing systems. Environmental Science and Pollution Research, 29(60), 91105–91126. https://doi.org/10.1007/s11356-022-22147-0
Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facilities planning (4th ed.). John Wiley & Sons.
Wei, X., Sun, J., & Jiao, H. (2025). New improved hybrid genetic algorithm for optimizing facility layout design of reconfigurable manufacturing system. Scientific Reports, 15, Article 21416. https://doi.org/10.1038/s41598-025-97526-x
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE.
Yuste, J., Pardo, E. G., & Duarte, A. (2024). General variable neighborhood search for the optimization of software quality. Computers & Operations Research, 165, 106584. https://doi.org/10.1016/j.cor.2024.106584
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