Optimizing a Biobjective Production-Distribution Planning Problem Using a GRASP

Martha Selene Casas-Ramírez, José Fernando Camacho-Vallejo*, Rosa G. González-Ramírez, José Antonio Marmolejo-Saucedo, José Manuel Velarde-Cantú

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

This paper addresses a biobjective production-distribution planning problem. The problem is formulated as a mixed integer programming problem with two objectives. The objectives are to minimize the total costs and to balance the total workload of the supply chain, which consist of plants and depots, considering that it represents a company vertically integrated. In order to solve the model, we propose an adapted biobjective GRASP to obtain an approximation of the Pareto front. To evaluate the performance of the proposed algorithm, numerical experimentations are conducted over a set of instances used for similar problems. Results indicate that the proposed GRASP obtains a relatively small number of nondominated solutions for each tested instance in very short computational time. The approximated Pareto fronts are discontinuous and nonconvex. Moreover, the solutions clearly show the compromise between both objective functions.
Idioma originalInglés
Número de artículo3418580
PublicaciónComplexity
Volumen2018
DOI
EstadoPublicada - 2018

Nota bibliográfica

Publisher Copyright:
© 2018 Martha-Selene Casas-Ramírez et al.

Palabras clave

  • Pareto principle
  • Supply chains

Huella

Profundice en los temas de investigación de 'Optimizing a Biobjective Production-Distribution Planning Problem Using a GRASP'. En conjunto forman una huella única.

Citar esto