Bibliographic citations
Arredondo, J., Villena, R. (2024). Desarrollo del Sistema Power Platform para la optimización de la preparación de pedidos en el proceso de picking en un almacén de consumo masivo [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/683821
Arredondo, J., Villena, R. Desarrollo del Sistema Power Platform para la optimización de la preparación de pedidos en el proceso de picking en un almacén de consumo masivo [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/683821
@misc{renati/1300845,
title = "Desarrollo del Sistema Power Platform para la optimización de la preparación de pedidos en el proceso de picking en un almacén de consumo masivo",
author = "Villena Alvarez, Roy Alexander",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
High standards in distribution centers and warehouses within the mass consumption sector, both globally and in the Peruvian market, are driving the need to digitalize and automate operational processes. Implementing advanced technologies has become crucial to ensure efficiency and productivity, optimize workflow, and respond to demand with agile and quality service for customers. Based on studies and successful experiences in the logistics sector, a technological solution developed in Power Apps within the Power Platform was chosen to optimize the order preparation process. This platform allows for the digital management of orders and their real-time distribution to pickers, eliminating the need for printed formats and ensuring a more agile, precise, and controlled workflow, adapted to the demands of the pre-sales channel. With the optimization of the order preparation system developed in Power Apps within the Power Platform, supported by Azure SQL for data management and Power BI for performance indicator visualization, the results have shown a significant increase in productivity, reaching averages of 1,600 units per hour per picker and exceeding 3,000,000 units prepared monthly. This process has proven to be 25% more productive compared to the manual method, reducing preparation times and minimizing errors in the information. Additionally, a more efficient and automated operation has been achieved, elevating the satisfaction index of both the logistics team and the end customers.
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