Centralized resource allocation BCC models
Centralized resource allocation BCC models
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DOI：
10.1016/j.omega.2006.07.006
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发表时间：
2009-02
影响因子：
6.9
通讯作者：
M. Asmild;J. Paradi;J. Pastor
中科院分区：
文献类型：
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作者：
M. Asmild;J. Paradi;J. Pastor
在最近的两篇论文中，Lozano和Villa[使用数据包络分析进行集中资源分配。生产力分析杂志2004；22：143-61。[1]和Lozano等人。[利用数据包络分析为区域回收业务设定集中目标。Omega 2004；32：101-10.[2]引入“集中式”数据包络分析(DEA)模型的概念，该模型旨在优化组织内所有单位的综合资源消耗，而不是单独考虑每个单位的消耗。这对于某些变量由中央当局(例如总部)而不是由个别单位管理人员控制的情况尤其重要。在本文中，我们重新考虑了上述作者提出的集中模型之一，并建议将其修改为只考虑对以前效率较低的机组的调整。我们展示了这种新的模型公式与标准DEA模型之间的关系，即作为对平均无效点的分析。我们还提供了一个可用于生成备选最优解的过程，使决策者能够在备选方案可能性中进行搜索，以便选择首选方案。然后，我们将模型扩展到包含不可转移变量和严格不可自由变量，并用一个公共服务组织的实证实例来说明模型。
In two recent papers, Lozano and Villa [Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis 2004;22:143–61. [1]] and Lozano et al. [Centralized target setting for regional recycling operations using DEA. OMEGA 2004;32:101–10. [2]] introduce the concept of “centralized” data envelopment analysis (DEA) models, which aim at optimizing the combined resource consumption by all units in an organization rather than considering the consumption by each unit separately. This is particularly relevant for situations where some variables are controlled by a central authority (e.g. Head Office) rather than individual unit managers. In this paper we reconsider one of the centralized models proposed by the above-mentioned authors and suggest modifying it to only consider adjustments of previously inefficient units. We show how this new model formulation relate to a standard DEA model, namely as the analysis of the mean inefficient point. We also provide a procedure that can be used to generate alternative optimal solutions, enabling a decision maker to search through alternate solution possibilities in order to select the preferred one. We then extend the model to incorporate non-transferable as well as strictly non-discretionary variables and illustrate the models using an empirical example of a public service organization.