Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers |
| |
| Institution: | 1. School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China;2. School of Management, University of Science and Technology of China, Hefei, Anhui Province 230026, China;3. School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China |
| |
| 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: | Green supply chain management Supplier monitoring Target setting Network data envelopment analysis Multi-objective linear programming Goal-directed benchmarking Feasible planning region |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
