Capacitated vehicle routing model with time limit for waste collection and recycling in a university campus

Incorporating sustainability in the management of university campuses is fundamental for the development of technologies and processes that lead to sustainable development. Thus, this article presents an optimization model, specifically a mathematical programming model, which allows the optimization of collection routes and the configuration of container sizes at each point of waste generation. The model considers the restriction of vehicle capacity and working hours, and also incorporates the separation of waste for recycling. Finally, a post-optimal sensitivity analysis is carried out to analyze the model in different scenarios, modifying some parameters of the model. As a result, an optimal waste collection route and a configuration of container sizes that minimizes costs were obtained.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106642
Citations
1
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
1.00
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article

Capacitated vehicle routing model with time limit for waste collection and recycling in a university campus

E. Cortés, F. González Contreras, P. Muñoz
1 citations
Municipal Solid Waste Management
1.00
article

Capacitated vehicle routing model with time limit for waste collection and recycling in a university campus

E. Cortés, F. González Contreras, P. Muñoz
article en
1 citations

Abstract

Incorporating sustainability in the management of university campuses is fundamental for the development of technologies and processes that lead to sustainable development. Thus, this article presents an optimization model, specifically a mathematical programming model, which allows the optimization of collection routes and the configuration of container sizes at each point of waste generation. The model considers the restriction of vehicle capacity and working hours, and also incorporates the separation of waste for recycling. Finally, a post-optimal sensitivity analysis is carried out to analyze the model in different scenarios, modifying some parameters of the model. As a result, an optimal waste collection route and a configuration of container sizes that minimizes costs were obtained.

University of Atacama (CL)
Openalex Percentile: Top 20%
Municipal Solid Waste Management
1.00
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