Reprint of "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers"

Majid Azadi; Amir Shabani; Mohsen Khodakarami; Reza Farzipoor Saen

doi:10.1016/j.tre.2014.12.009

Reprint of "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers"

Majid Azadi, Amir Shabani, Mohsen Khodakarami, Reza Farzipoor Saen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	22-36
Number of pages	14
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	74
Early online date	3 Jan 2015
DOIs	https://doi.org/10.1016/j.tre.2014.12.009
Publication status	Published - Feb 2015

Bibliographical note

Keywords

Feasible planning region
Goal-directed benchmarking
Green supply chain management
Multi-objective linear programming
Network data envelopment analysis
Supplier monitoring
Target setting

Access to Document

10.1016/j.tre.2014.12.009

Cite this

@article{bb363ed75d27453ab4852d21473f09e1,

title = "Reprint of {"}Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers{"}",

abstract = "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.",

keywords = "Feasible planning region, Goal-directed benchmarking, Green supply chain management, Multi-objective linear programming, Network data envelopment analysis, Supplier monitoring, Target setting",

author = "Majid Azadi and Amir Shabani and Mohsen Khodakarami and {Farzipoor Saen}, Reza",

note = "Copyright {\textcopyright} 2014 Elsevier Ltd",

year = "2015",

month = feb,

doi = "10.1016/j.tre.2014.12.009",

language = "English",

volume = "74",

pages = "22--36",

journal = "Transportation Research Part E: Logistics and Transportation Review",

issn = "1366-5545",

publisher = "Elsevier",

}

Reprint of "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers". / Azadi, Majid; Shabani, Amir; Khodakarami, Mohsen et al.
In: Transportation Research Part E: Logistics and Transportation Review, Vol. 74, 02.2015, p. 22-36.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Reprint of "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 - 2015/2

Y1 - 2015/2

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 - https://www.sciencedirect.com/science/article/pii/S1366554514002154?via%3Dihub

U2 - 10.1016/j.tre.2014.12.009

DO - 10.1016/j.tre.2014.12.009

M3 - Article

AN - SCOPUS:84923025621

SN - 1366-5545

VL - 74

SP - 22

EP - 36

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

Reprint of "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers"

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this