masterThesis
Uma abordagem híbrida para o problema de seleção de fornecedores em cadeia de suprimentos
Fecha
2012-01-27Registro en:
SANTI, Everton. Uma abordagem híbrida para o problema de seleção de fornecedores em cadeia de suprimentos. 2012. 104 f. Dissertação (Mestrado em Estratégia; Qualidade; Gestão Ambiental; Gestão da Produção e Operações) - Universidade Federal do Rio Grande do Norte, Natal, 2012.
Autor
Santi, Éverton
Resumen
This work presents a hybrid approach for the supplier selection problem in
Supply Chain Management. We joined decision-making philosophy by researchers
from business school and researchers from engineering in order to deal with the
problem more extensively. We utilized traditional multicriteria decision-making
methods, like AHP and TOPSIS, in order to evaluate alternatives according
decision maker s preferences. The both techiniques were modeled by using
definitions from the Fuzzy Sets Theory to deal with imprecise data. Additionally,
we proposed a multiobjetive GRASP algorithm to perform an order allocation
procedure between all pre-selected alternatives. These alternatives must to be
pre-qualified on the basis of the AHP and TOPSIS methods before entering the
LCR. Our allocation procedure has presented low CPU times for five pseudorandom
instances, containing up to 1000 alternatives, as well as good values for
all considered objectives. This way, we consider the proposed model as
appropriate to solve the supplier selection problem in the SCM context. It can be
used to help decision makers in reducing lead times, cost and risks in their supply
chain. The proposed model can also improve firm s efficiency in relation to
business strategies, according decision makers, even when a large number of
alternatives must be considered, differently from classical models in purchasing
literature