Propuesta para la mejora en la reposición de inventario en una empresa retail peruana mediante herramientas lean
DOI:
https://doi.org/10.26439/ing.ind2024.n.6648Keywords:
commercial distribution, inventory control, business logistics, lean manufacturing, warehouses, PeruAbstract
This research work aims to improve inventory replenishment in a retail company as it is essential for any company to meet product demand. Therefore, by analyzing the percentage of canceled orders within the retail company and using an Ishikawa diagram, it was determined that the absence of distribution centers led to cost overruns in the logistics process. By employing this methodology, the improvement proposal was divided into three stages: logistics hubs information collection and diagnosis; design and validation of the improvement proposal; and evaluation of the improvement proposal viability, risks and implementation time. These stages indicate that the proposed solution would involve establishing a logistics hub to serve as a low-cost distribution warehouse. Furthermore, during this research, we used the 5S methodology, one of the most popular lean tools, applicable to every department and action. Based on the analysis of the cost flow and economic scenarios, it is concluded that implementing the hub is feasible. This would not only increase product availability and assortment but also result in savings on transportation costs from the distribution center in Lima to the hub located in Tarapoto, Peru.
Downloads
References
Andersson, H., Hoff, A., Christiansen, M., Hasle, G., & Løkketangen, A. (2010). Industrial aspects and literature survey: Combined inventory management and routing. Computers & Operations Research, 37(9), 1515–1536. https://doi.org/10.1016/j.cor.2009.11.009
Cheong, M., Bhatnagar, R., & Graves, S. C. (2007). Logistics network design with supplier consolidation hubs and multiple shipment options. Journal of Industrial and Management Optimization, 3(1), 51–69. https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3448&context=sis_research
Davatgaran, V., Saniei, M., & Mortazavi, S. S. (2019). Smart distribution system management considering electrical and thermal demand response of energy hubs. Energy, 169, 38–49. https://doi.org/10.1016/j.energy.2018.12.005
Escalona, A. I., & Ramos, D. (2014). Global production chains in the fast fashion sector, transports and logistics: the case of the Spanish retailer Inditex. Investigaciones Geográficas, Boletín del Instituto de Geografía, (85), 113–127. https://doi.org/10.14350/rig.40002
Holweg, M., Disney, S., Holmström, J., & Småros, J. (2005). Supply chain collaboration: Making sense of the strategy continuum. European Management Journal, 23(2), 170–181. https://doi.org/10.1016/j.emj.2005.02.008
Inprasit, T., & Tanachutiwat, S. (4-7 de julio de 2018). Reordering point determination using machine learning technique for inventory management [Sesión de conferencia]. 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST). Phuket, Thailand. https://doi.org/10.1109/ICEAST.2018.8434473
Lolli, F., Gamberini, R., Regattieri, A., Balugani, E., Gatos, T., & Gucci, S. (2017). Single-hidden layer neural networks for forecasting intermittent demand. International Journal of Production Economics, 183, 116–128. https://doi.org/10.1016/j.ijpe.2016.10.021
Mohsin, A., & Daud, D. (2018). Oman as a future logistics hub: A conceptual study. International Journal of Economics, Commerce and Management, 6(6), 141–148. https://ijecm.co.uk/wp-content/uploads/2018/06/6610.pdf
O’Kelly, M. E., Bryan, D., Skorin-Kapov, D., & Skorin-Kapov, J. (1996). Hub network design with single and multiple allocation: A computational study. Location Science, 4(3), 125–138. https://doi.org/10.1016/S0966-8349(96)00015-0
Oldham, S., & Fornito, A. (2019). The development of brain network hubs. Developmental Cognitive Neuroscience, 36, 1-14. https://doi.org/10.1016/j.dcn.2018.12.005
Osorio, C. (2008). Modelos para el control de inventarios en las pymes. Panorama, 2(6), 4–10. https://doi.org/10.15765/pnrm.v2i6.241
Praveen, K. B., Kumar, P., Prateek, J., Pragathi, G., & Madhuri, J. (2020). Inventory management using machine learning. International Journal of Engineering Research & Technology (IJERT), 9(6), 866–869. https://www.ijert.org/research/inventory-management-using-machine-learning-IJERTV9IS060661.pdf
Reátegui, D., Castro, P., & Ramírez, J. (2017). Implementación de un hub logístico de repuestos Honda en Latinoamérica [Final project, Universidad Peruana de Ciencias Aplicadas]. Repositorio Académico UPC. http://hdl.handle.net/10757/311183
Reina, L., & Adarme, W. (2014). Logística de distribución de productos perecederos: estudios de caso Fuente de Oro (Meta) y Viotá (Cundinamarca). Revista Colombiana de Ciencias Hortícolas, 8(1), 80–91. https://doi.org/10.17584/rcch.2014v8i1.2802
Vieira, C., & Luna, M. (2016). Models and methods for logistics hub location: A review towards transportation networks design. Pesquisa Operacional, 36(2), 375–397. https://doi.org/10.1590/0101-7438.2016.036.02.0375
Yu, Y., Wang, X., Zhong, R. Y., & Huang, G. Q. (2017). E-commerce logistics in supply chain management: Implementations and future perspective in furniture industry. Industrial Management & Data Systems, 117(10), 2263–2286. https://doi.org/10.1108/IMDS-09-2016-0398
