A slacks-based network DEA efficiency analysis of European airlines
A slacks-based network DEA efficiency analysis of European airlines
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DOI：
10.1080/03081060.2014.935569
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发表时间：
2014-08
影响因子：
1.6
通讯作者：
S. Lozano;E. Gutiérrez
中科院分区：
文献类型：
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作者：
S. Lozano;E. Gutiérrez
传统的数据包络分析 (DEA) 模型将系统视为单进程“黑匣子”。然而，有些 DEA 方法将系统视为由不同的过程或阶段组成，每个过程或阶段都有自己的输入和输出以及阶段之间的中间流。本文提出了一种航空公司效率评估的网络 DEA 方法。该研究的一个结论是，网络 DEA 方法比单进程 DEA 方法具有更强的判别力，并且计算出的目标、效率得分和排名更有效。这是因为网络 DEA 允许进行更细粒度的分析，从而比传统 DEA 所假设的更现实地估计整个系统的生产可能性集。换句话说，与网络 DEA 相比，传统的单过程 DEA 代表了一种聚合分析，它将所有系统过程与其输入和输出合并，并忽略其内部流程。主要缺点是需要更详细的数据（即过程级别）以及结果模型的更大复杂性，特别是在过程之间共享输入或输出的情况下。
Conventional data envelopment analysis (DEA) models consider a system as a single-process ‘black box’. There are, however, DEA approaches that consider a system as composed of distinct processes or stages, each one with its own inputs and outputs and with intermediate flows among the stages. In this paper, a network DEA approach to airline efficiency assessment is presented. One conclusion of the study is that the network DEA approach has more discriminative power than the single-process DEA approach and that the computed targets, efficiency scores and rankings are more valid. This is because network DEA allows for a more fine-grained analysis that leads to a more realistic estimation of the overall system production possibility set than the one assumed by conventional DEA. In other words, compared with network DEA the conventional, single-process DEA represents an aggregated analysis that merges all system processes with their inputs and outputs and ignores their internal flows. The main drawbacks are the need for more detailed data (i.e. at the process level) and the greater complexity of the resulting models, especially if there are inputs or outputs that are shared among the processes.