Modelo basado en agentes para simular la conciencia ambiental y responsabilidad ampliada del productor en países en vías de desarrollo

Resumen

Para hacer una transición efectiva hacia una economía circular, se debe tener la responsabilidad y la participación de todas las partes interesadas involucradas, incluidos los clientes. En este trabajo, se busca desarrollar un modelo de simulación basado en agentes para describir y analizar un sistema de conciencia ambiental en una población, cuyo comportamiento se basa en un indicador que puede cambiar por la interacción del agente y modificar sus hábitos de consumo. El modelo se describe utilizando el protocolo ODD + D, y se utiliza el software Netlogo para la codificación. Después del proceso de validación del modelo, sus resultados se analizan para entender cómo puede el nivel de conciencia ambiental, los hábitos de consumo y las habilidades sociales de cada individuo influir en el nivel medio de conciencia ambiental de una población heterogénea, lo que simplifica la identificación de comportamientos emergentes y la previsión de los residuos potencialmente reciclables de acuerdo con la calidad en la separación en origen.

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Biografía del autor/a

Yony Fernando Ceballos, Universidad de Antioquia

Profesor Asistente

Departamento de Ingenieria Industrial

Universidad de Antioquia

Jesus David Galarcio-Noguera, universidad de antioquia

J.D. Galarcio was born in Cereté, Córdoba, Colombia in 1996. He received his degree in Industrial Engineering (B.S.) from the Universidad de Córdoba, Monteria, in 2017. He is a master’s degree student (M.S.) at University of Antioquia, Medellin.

From 2016 to 2017, he was a Research Assistant at the Universidad de Córdoba, Monteria. In 2019, he began as a Scholarship Student, performing functions as a Professor of the Industrial Engineering Department at the University of Antioquia in Colombia. He is the author of two research articles and one book, both related to logistics for perishable products, supply chain management and operational research tools. His research interests include optimization, agent-based modeling (ABM), circular economy, metaheuristics, artificial intelligence, and supply chain management.

Ing. Galarcio is an Industrial Engineer at the Universidad de Córdoba (CO). He is a master’s in engineering’s student at the Universidad de Antioquia in Colombia. His research interests include optimization, agent-based modeling (ABM), circular economy, metaheuristics, artificial intelligence, and supply chain management.

 

Pablo Andres Maya-Duque, Universidad de antioquia

 P.A. Maya Duque was born in Medellín, Colombia. He held a B.S. in Industrial engineering (B.S.) from the Universidad Nacional de Colombia a Ms.S in Industrial engineering from the University of los Andes in Colombia and a Ph.D. in Operations research from the University of Antwerp in Belgium.

Dr. Maya is associated Professor at the Industrial Engineering Department of the Antioquia University in Colombia. His research interests are mainly on the field of applied OR techniques, particularly to problems with potential social impact such as circular economy, sustainable transport, health services and humanitarian and non-profit logistics.

 

Gloria Lucia Ramirez-Cordoba, Universidad de Antioquia

G.L. Ramirez was born in Sucre, Venezuela in 1979. She received the Management Engineering degree from the Universidad Nacional de Colombia, Medellín, in 2003. She holds a Master and a Ph.D. in Accounting and Finance from the Universidad de Zaragoza, España, in 2008 and 2011, respectively.

Dr. Ramirez is a Professor of the Industrial Engineering Department at the Antioquia University in Colombia. Her research interests are related to finance in supply chain management, economic indicators, and circular economy.

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Publicado
2020-09-30
Cómo citar
CeballosY., Galarcio-NogueraJ., Maya-DuqueP., & Ramirez-CordobaG. (2020). Modelo basado en agentes para simular la conciencia ambiental y responsabilidad ampliada del productor en países en vías de desarrollo. Scientia Et Technica, 25(3), 430-437. https://doi.org/10.22517/23447214.24181
Sección
Sistemas y Computación