ERP open source para Pymes: Un enlace entre la gestión del recurso humano y logística inteligente

Verónica; Enrique de Jesús Mohedano Torres; Marla Itzel Ruiz Orozco; Dayra Paola Pérez Antonio; Fernanda Enid Romo Pérez

doi:10.61273/neyart.v4i2.166

Authors

Verónica National Technological Institute of Mexico
Enrique de Jesús Mohedano Torres National Technological Institute of Mexico
Marla Itzel Ruiz Orozco National Technological Institute of Mexico
Dayra Paola Pérez Antonio National Technological Institute of Mexico
Fernanda Enid Romo Pérez National Technological Institute of Mexico

DOI:

https://doi.org/10.61273/neyart.v4i2.166

Keywords:

Company, design, human resources, open source software, research and transportation planning

Abstract

The present study aimed to design an Open Source ERP for small and medium-sized enterprises (SMEs), which in Latin America represent 99% of productive units and generate between 60% and 70% of formal employment (CEPAL, 2023). Many SMEs face technological and budget limitations that hinder the integration of essential processes such as human resource management and logistics, reducing their operational efficiency and the quality of decision-making (Heizer, Render & Munson, 2020).

The methodology used was based on the Protocol, Search, Appraisal, Synthesis, Analysis and Report (PSALSAR) approach. This allowed for the analysis of international scientific and technological evidence, as well as the operational reality of a Mexican company in the logistics sector. Documentary searches, database analyses, direct observation, and the collection of qualitative and quantitative data from involved personnel were conducted. Through the PSALSAR process, 45 initial references were refined to 17 highly relevant studies, from which categories such as implemented technologies, operational KPIs, and key challenges emerged, highlighting the lack of integration, low traceability, and workload overload.

Field analysis confirmed that traditional ERPs do not adapt flexibly enough to the dynamic demands of last-mile logistics and human resources, justifying the design of a customized solution. The pilot program enabled the configuration of role-based, differentiated permissions, ensuring confidentiality and traceability of information. Key functional requirements were defined to optimize routes, measure attendance, automate processes, improve data availability, and strengthen strategic decision-making.

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