Improvement of Outbound Logistics in an E-Commerce Company Using RPA, ABC Analysis, and SLP Tools

Authors

DOI:

https://doi.org/10.26439/ciii2025.8650

Keywords:

ABC classification, e-commerce, outbound logistics, robotic process automation

Abstract

This study aims to reduce the high percentage rate of failed deliveries (39.09%) in a Peruvian import based e-commerce company, whose operations exhibit deficiencies in distribution and storage processes. To address these issues, an integrated solution was designed using three logistics tools: the systematic layout planning (SLP) methodology, employed to reorganize the warehouse according to nine product categories; ABC classification, used to relocate items within racks based on their turnover and demand; and robotic process automation (RPA), applied to routing through optimization algorithms. The proposal complied with current technical and legal regulations and was validated through simulation using Arena software, demonstrating an 83.6% reduction in routing time, a 54.6% improvement in average picking time, and a 20-percentage-point increase in the on-time in-full (OTIF) indicator. The results confirm that the integrated application of these tools significantly improves logistics efficiency in similar operational models within the e-commerce sector.

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Author Biographies

  • Elizabeth S. Castillo Vera, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Elizabeth Sumie Castillo Vera holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima, Peru. She currently works as a Category Strategy & Innovation Analyst at Belcorp. Her research interests focus on business strategy and innovation, data analysis and quantitative models applied to decision-making, market research and consumer behavior, and process optimization and improvement.

  • Gian P. F. Robles Flores, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Gian Paul Fabián Robles Flores holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima, Peru. He has corporate experience in the B2B commercial field at Alicorp and in commercial management for the Men’s Retail division at Ripley. His research interests focus on the development and implementation of strategies, the analysis of factors and data for decision-making, and the optimization and improvement of internal processes aimed at generating value and benefits for consumers.

  • José A. Taquía Gutiérrez, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    José Antonio Taquía Gutiérrez holds a PhD in Business Management from Universidad Nacional Mayor de San Marcos and a Master’s degree in Industrial Engineering from Universidad de Lima. In the private sector, he has participated in several technology project implementations applied to operations in supply chain processes and decision-support systems for leading retail companies. He has also developed projects for the Instituto de Investigación Científica of Universidad de Lima. His main research interests are process improvement, predictive analytics, and Industry 4.0.

  • María T. Noriega Araníbar de Lavalle, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    María Teresa Noriega Aranibar de Lavalle holds a PhD in Accounting and Business Sciences from Universidad Nacional Mayor de San Marcos, a Master’s degree in Forest Industries from Universidad Nacional Agraria La Molina, and a degree in Industrial Engineering from Universidad de Lima. She is Editor of the Ingeniería Industrial journal of Universidad de Lima, Full Professor in the Faculty of Engineering, and a researcher and thesis and research project advisor in the field of engineering. She has also served as an evaluator for the National Quality Award. She is co-author of the books Project Portfolio, Techniques for Work Study, Continuous Improvement of Processes, Plant Layout, and Manual for the Design of Manufacturing and Service Facilities, and author of several indexed articles.

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Published

2026-06-08

Issue

No. 004 (2025): IV Congreso Internacional de Ingeniería Industrial

Section

Ponencias

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