TY - JOUR
T1 - A new Russell model for selecting suppliers
AU - Azadi, Majid
AU - Shabani, Amir
AU - Farzipoor Saen, Reza
PY - 2014
Y1 - 2014
N2 - Recently, supply chain management (SCM) has been considered by many researchers. Supplier evaluation and selection plays a significant role in establishing an effective SCM. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In some situations, to select suitable suppliers, purchasing managers deal with undesirable outputs, dual-role factors and imprecise data. The objective of this paper is to propose a new Russell model for selecting the best suppliers in the presence of undesirable outputs, dual-role factors and imprecise data. A case study demonstrates the application of the proposed method.
AB - Recently, supply chain management (SCM) has been considered by many researchers. Supplier evaluation and selection plays a significant role in establishing an effective SCM. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In some situations, to select suitable suppliers, purchasing managers deal with undesirable outputs, dual-role factors and imprecise data. The objective of this paper is to propose a new Russell model for selecting the best suppliers in the presence of undesirable outputs, dual-role factors and imprecise data. A case study demonstrates the application of the proposed method.
KW - Dual-role factor
KW - Imprecise data
KW - Russell measure
KW - Supplier selection
KW - Undesirable outputs
UR - http://www.scopus.com/inward/record.url?scp=84906688230&partnerID=8YFLogxK
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U2 - 10.1504/IJISM.2014.064354
DO - 10.1504/IJISM.2014.064354
M3 - Article
AN - SCOPUS:84906688230
SN - 1477-5360
VL - 9
SP - 23
EP - 48
JO - International Journal of Integrated Supply Management
JF - International Journal of Integrated Supply Management
IS - 1-2
ER -