TY - JOUR
T1 - A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs
AU - Noorizadeh, Abdollah
AU - Saen, Reza Farzipoor
AU - Mahdiloo, Mahdi
PY - 2014
Y1 - 2014
N2 - Data envelopment analysis (DEA) can be used for supplier selection problem due to its multiple criteria nature. In suppliers' evaluation, there might be some factors, which are beyond the control of their management, that are needed to be modelled in an appropriate way. Also, there are some situations in which some factors are undesirable and they are favourable to be decreased. The aim of this paper is to propose a model for evaluation of suppliers' performance in the presence of both undesirable and non-discretionary outputs. This model can rank efficient suppliers by a super-efficiency DEA model. A numerical example has sought to demonstrate that the proposed model is actually applicable.
AB - Data envelopment analysis (DEA) can be used for supplier selection problem due to its multiple criteria nature. In suppliers' evaluation, there might be some factors, which are beyond the control of their management, that are needed to be modelled in an appropriate way. Also, there are some situations in which some factors are undesirable and they are favourable to be decreased. The aim of this paper is to propose a model for evaluation of suppliers' performance in the presence of both undesirable and non-discretionary outputs. This model can rank efficient suppliers by a super-efficiency DEA model. A numerical example has sought to demonstrate that the proposed model is actually applicable.
KW - Non-discretionary output
KW - Super-efficiency
KW - Supplier selection
KW - Undesirable output
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U2 - 10.1504/IJSOM.2014.059560
DO - 10.1504/IJSOM.2014.059560
M3 - Article
AN - SCOPUS:84897711067
SN - 1744-2370
VL - 17
SP - 280
EP - 293
JO - International Journal of Services and Operations Management
JF - International Journal of Services and Operations Management
IS - 3
ER -