Logistic Planning for Used Vehicle Oil Collection Using a Genetic Algorithm

Authors

  • Elio Beltran Universidad Nacional de Tucumán, Argentina
  • Pablo Jeger Universidad Nacional de Tucumán, Argentina
  • Teresa Unzaga Universidad Nacional de Tucumán, Argentina
  • Aníbal M. Blanco Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
  • Humberto Heluane Universidad Nacional de Tucumán, Argentina

Keywords:

genetic algorithm, reverse logistics, used oil

Abstract

Reverse logistics is responsible for managing products that, once consumed, generate waste that could be harmful to the environment and could be recycled for reuse. Used vehicle oil is a an abundant liquid waste, hazardous due to its high content of toxic elements and heavy metals. When these compounds come into contact with water, soil, or the atmosphere, whether by spills or incineration, they cause significant environmental pollution, posing a serious risk to the health of living organisms. To assist in the management of this oil recovery, a genetic algorithm was developed to plan the logistics of collection from the generating points in order to store it in a facility for safe disposal or further use. The aim of this algorithm is to determine the appropriate routes to reduce the variable and environmental operational costs of this process.

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Published

2025-09-15

Issue

Section

SIIIO-Symposium on Industrial Informatics and Operations Research

How to Cite

Beltran, E., Jeger, P., Unzaga, T., Blanco, A. M., & Heluane, H. (2025). Logistic Planning for Used Vehicle Oil Collection Using a Genetic Algorithm. JAIIO, Jornadas Argentinas De Informática, 11(14), 70-83. https://revistas.unlp.edu.ar/JAIIO/article/view/19448