TY - JOUR
T1 - Supplier selection by the pair of AR-NF-IDEA models
AU - Farzipoor Saen, Reza
AU - Gershon, Mark
PY - 2010/10
Y1 - 2010/10
N2 - Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company's supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.
AB - Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company's supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.
KW - Assurance region
KW - Company supply chain
KW - Imprecise data envelopment analysis
KW - Nondiscretionary factors
KW - Supplier selection
UR - http://www.scopus.com/inward/record.url?scp=84864123045&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864123045&partnerID=8YFLogxK
U2 - 10.4018/jisscm.2010100102
DO - 10.4018/jisscm.2010100102
M3 - Article
AN - SCOPUS:84864123045
SN - 1935-5726
VL - 3
SP - 25
EP - 41
JO - International Journal of Information Systems and Supply Chain Management
JF - International Journal of Information Systems and Supply Chain Management
IS - 4
ER -