TY - JOUR
T1 - A mathematical model for selecting third-party reverse logistics providers
AU - Saen, Reza Farzipoor
PY - 2009
Y1 - 2009
N2 - Generally, many optimisation models of Third-Party Reverse Logistics (3PL) provider selection assume that cardinal data, with less emphasis on ordinal data, exist. However, to select the best 3PL providers, this assumption is not realistic because ordinal data are vital. To deal with this difficulty and select the most efficient 3PL provider with the condition that both ordinal and cardinal data are present, a methodology which is based on Imprecise Data Envelopment Analysis (IDEA) is introduced. A numerical example demonstrates the application of the proposed method.
AB - Generally, many optimisation models of Third-Party Reverse Logistics (3PL) provider selection assume that cardinal data, with less emphasis on ordinal data, exist. However, to select the best 3PL providers, this assumption is not realistic because ordinal data are vital. To deal with this difficulty and select the most efficient 3PL provider with the condition that both ordinal and cardinal data are present, a methodology which is based on Imprecise Data Envelopment Analysis (IDEA) is introduced. A numerical example demonstrates the application of the proposed method.
KW - Cardinal and ordinal data
KW - Data envelopment analysis
KW - DEA
KW - Third-party reverse logistics provider
UR - http://www.scopus.com/inward/record.url?scp=74249104348&partnerID=8YFLogxK
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U2 - 10.1504/IJPM.2009.023406
DO - 10.1504/IJPM.2009.023406
M3 - Article
AN - SCOPUS:74249104348
SN - 1753-8432
VL - 2
SP - 180
EP - 190
JO - International Journal of Procurement Management
JF - International Journal of Procurement Management
IS - 2
ER -