A complete ranking of DMUs with undesirable outputs using restrictions in DEA models

Dong Guo, Jie Wu
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引用次数: 51

Abstract

Ranking DMUs is an important issue in DEA studies. Traditional DEA model usually leads to the failure to ranking all DMUs when DMUs get the same efficiency score, such as efficient DMUs or inefficient DMUs with the same efficiency score. For the sake of comparing and improving capabilities of DMUs, many researchers have sought to fully rank both efficient, as well as inefficient DMUs. In this paper, an extended DEA model considering undesirable outputs using restrictions is presented to realize a unique ranking of DMUs through the new “Maximal Balance Index” based on the optimal shadow prices. Meanwhile, a numerical example and an empirical example are provided to illustrate the difference from previous work and the application of the extended model. In the empirical study, the complete ranking of DMUs incorporating undesirable outputs is proved to be useful and unique.

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使用DEA模型中的限制对具有不良输出的dmu进行完整排序
dmu排序是DEA研究中的一个重要问题。传统的DEA模型通常会导致当dmu的效率得分相同时,无法对所有dmu进行排序,例如效率得分相同的高效dmu或低效dmu。为了比较和提高dmu的能力,许多研究人员试图对高效和低效的dmu进行全面排名。本文提出了一个考虑约束的非期望产出的扩展DEA模型,通过基于最优影子价格的新“最大平衡指数”来实现dmu的唯一排序。同时,通过数值算例和实证算例说明了扩展模型与以往工作的区别以及扩展模型的应用。在实证研究中,证明了包含不良产出的dmu的完整排名是有用的和独特的。
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Mathematical and Computer Modelling
Mathematical and Computer Modelling 数学-计算机:跨学科应用
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