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.2014.07.009

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)	324-338
Number of pages	14
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	70
Early online date	20 Aug 2014
DOIs	https://doi.org/10.1016/j.tre.2014.07.009
Publication status	Published - Oct 2014

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

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10.1016/j.tre.2014.07.009

Cite this

@article{59af0f30ef474336879687746f1446c5,

title = "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 Saen, {Reza Farzipoor}",

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

year = "2014",

month = oct,

doi = "10.1016/j.tre.2014.07.009",

language = "English",

volume = "70",

pages = "324--338",

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

issn = "1366-5545",

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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. 70, 10.2014, p. 324-338.

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

TY - JOUR

T1 - Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers

AU - Azadi, Majid

AU - Shabani, Amir

AU - Khodakarami, Mohsen

AU - Saen, Reza Farzipoor

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 - https://www.sciencedirect.com/science/article/pii/S1366554514001306?via%3Dihub

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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

ER -

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

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