Suppliers Selection in Volume Discount Environments in the Presence of Both Cardinal and Ordinal Data
Author(s)
Saen, Reza Farzipoor
Griffith University Author(s)
Year published
2009
Metadata
Show full item recordAbstract
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 ...
View more >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.
View less >
View more >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.
View less >
Journal Title
International Journal of Information Systems and Supply Chain Management
Volume
2
Issue
1
Subject
Commerce, Management, Tourism and Services not elsewhere classified
Information Systems