TY - JOUR
T1 - Suppliers selection in volume discount environments in the presence of both cardinal and ordinal data
AU - Farzipoor Saen, Reza
PY - 2009/1
Y1 - 2009/1
N2 - With the widespread use of manufacturing philosophies such as Just-In-Time (JIT), emphasis has shifted to the simultaneous consideration of cardinal and ordinal data in supplier selection process. Traditionally, many optimization models of supplier selection assume that the average prices of related expenditures are constant. This is far beyond the real situation. In fact, suppliers usually offer quantity discounts to encourage the buyers to order more. To select the best suppliers in volume discount environments in the presence of both cardinal and ordinal data, this paper proposes an innovative approach. A numerical example demonstrates the application of the proposed method.
AB - With the widespread use of manufacturing philosophies such as Just-In-Time (JIT), emphasis has shifted to the simultaneous consideration of cardinal and ordinal data in supplier selection process. Traditionally, many optimization models of supplier selection assume that the average prices of related expenditures are constant. This is far beyond the real situation. In fact, suppliers usually offer quantity discounts to encourage the buyers to order more. To select the best suppliers in volume discount environments in the presence of both cardinal and ordinal data, this paper proposes an innovative approach. A numerical example demonstrates the application of the proposed method.
KW - Supplier selection
KW - Supply chain management
KW - Volume discount
UR - http://www.scopus.com/inward/record.url?scp=52449112957&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52449112957&partnerID=8YFLogxK
U2 - 10.4018/jisscm.2009010105
DO - 10.4018/jisscm.2009010105
M3 - Article
AN - SCOPUS:52449112957
SN - 1935-5726
VL - 2
SP - 69
EP - 80
JO - International Journal of Information Systems and Supply Chain Management
JF - International Journal of Information Systems and Supply Chain Management
IS - 1
ER -