Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers (Reprinted from Journal of Transportation Research, vol 70, pg 324-338)

被引：12

作者：

Azadi, Majid

Shabani, Amir

Khodakarami, Mohsen

Saen, Reza Farzipoor

机构：

[1] Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, Karaj

[2] Young Researchers and Elite Club, Science and Research Branch, Islamic Azad University, Tehran

[3] Young Researchers and Elite Club, Karaj Branch, Islamic Azad University, Alborz

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2015年 / 74卷

关键词：

Green supply chain management; Supplier monitoring; Target setting; Network data envelopment analysis; Multi-objective linear programming; Goal-directed benchmarking; Feasible planning region; NETWORK DEA; PERFORMANCE EVALUATION; EFFICIENCY; DESIGN; MODEL; SELECTION;

D O I：

10.1016/j.tre.2014.12.009

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：22 / 36

页数：15