TY - JOUR
T1 - Planning in feasible region by two-stage target-setting DEA methods
T2 - An application in green supply chain management of public transportation service providers
AU - Azadi, Majid
AU - Shabani, Amir
AU - Khodakarami, Mohsen
AU - Farzipoor Saen, Reza
PY - 2014/10
Y1 - 2014/10
N2 - To meet green supply chain management's requirements of a company and its transportation service providers (TSPs), it is essential to set clear, achievable, and realistic targets. This paper proposes two data envelopment analysis (DEA) approaches to find targets for two-stage network structures. The objective of proposed approaches is to plan in feasible region. The feasible region specifies bounds to ensure targets are within current operational capacity of TSPs. Applying the approaches to set targets for 24 TSPs lead to different results. However, proposed models ensure that the TSPs would be efficient in their current capacity.
AB - To meet green supply chain management's requirements of a company and its transportation service providers (TSPs), it is essential to set clear, achievable, and realistic targets. This paper proposes two data envelopment analysis (DEA) approaches to find targets for two-stage network structures. The objective of proposed approaches is to plan in feasible region. The feasible region specifies bounds to ensure targets are within current operational capacity of TSPs. Applying the approaches to set targets for 24 TSPs lead to different results. However, proposed models ensure that the TSPs would be efficient in their current capacity.
KW - Feasible planning region
KW - Goal-directed benchmarking
KW - Green supply chain management
KW - Multi-objective linear programming
KW - Network data envelopment analysis
KW - Supplier monitoring
KW - Target setting
UR - http://www.scopus.com/inward/record.url?scp=84907093022&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907093022&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2014.07.009
DO - 10.1016/j.tre.2014.07.009
M3 - Article
AN - SCOPUS:84907093022
SN - 1366-5545
VL - 70
SP - 324
EP - 338
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
IS - 1
ER -