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An equitable DEA-based approach for assigning fixed resources along with targets

机译:一种基于DEA的公平方法,用于分配固定资源和目标

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A typical problem in organization management is how to divide a fixed resource along with a target among decision making units (DMUs) of an organization equitably. By using the data envelopment analysis technique, this paper concerns the problem from the perspective of efficiency analysis and proposes a new sharing model. In the proposed method, the fixed resource and target are divided among DMUs such that the efficiencies of DMUs remain unchanged after assigning the fixed cost and target. The proposed method is unit-invariant; it eliminates resource waste and target insufficiency brought by slacks. Also, every DMU is assigned a positive resource and a positive target under this method. Two corresponding algorithms are designed to yield a unique allocation. The proposed approach can be developed under both constant returns to scale and variable returns to scale. Two examples are presented to illustrate the validity and superiorities of our method.
机译:组织管理中的一个典型问题是如何在组织的决策单位(DMU)之间公平地分配固定资源和目标。通过使用数据包络分析技术,从效率分析的角度解决了这一问题,并提出了一种新的共享模型。在该方法中,固定资源和目标在DMU之间进行分配,以使DMU的效率在分配固定成本和目标后保持不变。所提出的方法是单位不变的。它消除了资源浪费和闲暇带来的目标不足。而且,在这种方法下,每个DMU都被分配了一个正资源和一个正目标。设计了两种相应的算法以产生唯一的分配。可以在规模报酬不变和规模报酬不变的情况下开发提出的方法。给出两个例子来说明我们方法的有效性和优越性。

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