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首页> 外文期刊>Annals of Operations Research >Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis
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Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis

机译：在使用数据包络分析的情况下，在体重限制存在下找到最接近的银行分支目标

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摘要

Data envelopment analysis technique, not only evaluates Decision making units (DMUs), but also introduces a benchmark for inefficient DMUs. By having the data related to the benchmark and using it appropriately, the DMU under the assessment determines how to eliminate its inefficiency and become efficient. The closer the evaluated DMU is to the presented target, the faster and easier it reaches the efficiency frontier. Furthermore, target setting in the presence of weight restrictions is an important issue. In this paper, a model for finding the closest target, in the presence of weight restrictions is presented. Thus, taking into account trade-offs, as well as weight restrictions, the closest target for each DMU is introduced. The proposed model is also compared with the previous models. Finally, administrating the proposed model for evaluating one of Iranian Banks, the least changes to inefficient branches is represented.
机译：数据包络分析技术，不仅评估了决策单元（DMUS），还引入了低效DMU的基准。通过将数据与基准和适当使用的数据进行适当使用，DMU在评估下决定了如何消除其低效率并变得有效。评估的DMU越接近所示的目标，它越快，它到达效率边界。此外，在体重限制存在下的目标设置是一个重要问题。本文介绍了一种用于找到重量限制的最接近目标的模型。因此，考虑到权衡，以及重量限制，介绍了每个DMU的最接近的目标。拟议的模型也与之前的模型进行了比较。最后，管理拟议模型用于评估伊朗银行之一，效率低下分支的更改最小。

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