Intuitionistic Fuzzy MOORA for Supplier Selection

The supplier selection is a critical activity within the administration of the supply chain. It is considered a complex problem given that it involves different aspects such as the alternatives to evaluate, the multiple criteria involved as well as the group of decision makers with different opinion...

Full description

Autores:
Pérez-Domínguez, Luis
Alvarado-Iniesta, Alejandro
Rodríguez-Borbón, Iván
Vergara-Villegas, Osslan
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60719
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60719
http://bdigital.unal.edu.co/59051/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
MCDM
MOORA
Intuitionistic fuzzy set
Supplier Selection
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:The supplier selection is a critical activity within the administration of the supply chain. It is considered a complex problem given that it involves different aspects such as the alternatives to evaluate, the multiple criteria involved as well as the group of decision makers with different opinions. In this sense, the literature reports several methods to help in this difficult activity of selecting the best supplier. However, there are still some gaps in these methods; therefore, it is imperative to further develop research. Thus, the purpose of this paper is to report a hybrid method between MOORA and intuitionistic fuzzy sets for the selection of suppliers with a focus on multi-criteria and multi-group environment. The importance of decision makers, criteria and alternatives are evaluated in terms of intuitionistic fuzzy sets. Then, MOORA is used in order to determine the best supplier. An experimental case is developed in order to explain the proposed method in detail and to demonstrate its practicality and effectiveness.