期刊
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
卷 72, 期 5, 页码 1174-1182出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/01605682.2020.1755900
关键词
Data envelopment analysis (DEA); efficiency; integrated model; Slacks-based measure (SBM); super-efficiency
资金
- Ministry of Science and Technology, Taiwan [MOST-107-2410-H-019-009-]
In this paper, a linear programming model that integrates SBM and Super-SBM is proposed, which can identify the efficiency of the inefficient DMUs and the super-efficiency of the efficient DMUs simultaneously in one stage. Results show that the proposed model is faster than the model by Tran et al., with a computation time of about two-thirds shorter.
Tone proposed a super-efficiency slacks-based measure (SBM) model, known as Super-SBM, which can't identify the efficiency of the inefficient DMU. However, the super-efficiency model for radial measure can identify both the efficiency for the inefficient DMUs and the super-efficiency for the efficient DMUs with one model. Tran et al. proposed a binary linear programming model that integrates the SBM and Super-SBM. In this paper, we propose a linear programming model that integrates SBM and Super-SBM. With the proposed model, we can identify the efficiency of the inefficient DMUs as the SBM model and the super-efficiency of the efficient DMUs as the Super-SBM model at one stage. Results show that our model is faster than that of Tran et al. Our computation time is about only two-third of that of Tran et al.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据