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Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899

Resumo

RODRIGUEZ QUINTANA, Pedro Leonardo; ARGUELLES CORTES, Lucía  e  PALENCIA FERNANDEZ, Gonzalo. Solving a Vehicle Routing Problem with Fuzzy Constraints. RCCI [online]. 2022, vol.16, n.2, pp. 15-30.  Epub 01-Jun-2022. ISSN 2227-1899.

The goal of this paper is solving a vehicle routing problem with fuzzy constraints, particularly the capacity constraints has been represented with fuzzy number. The mathematical model was made as a network flows model that combines classic equations with fuzzy parameters. It is proposed a method based in Verdegay’s approach for solving fuzzy linear programming problems and Clarke and Wright Savings Algorithm, a classical heuristics. The proposed method is implemented as a function in RStudio software and a real problem is solved with it to show that the obtained method provides a good solution.

Palavras-chave : vehicle routing problem with fuzzy constraints; fuzzy linear programming; Clarke and Wright Savings Algorithm.

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