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A new approach for considering a dual-role factor in data envelopment analysis

机译:在数据包络分析中考虑双重角色因素的新方法

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The conventional data envelopment analysis models deal with dual-role factor as non-discretionary (uncontrollable) factor. However, there might be dual-role factor which is under control of decision-maker. In addition, despite the fact that there are several publications addressing dual-role factors, it seems that their idea of classifying a factor as an input or an output within a single model has a limitation. They also do not consider non-zero input and output slacks and cannot fully measure the inefficiency of decision-making units. To resolve these limitations and to consider dual-role factor as well, this paper proposes a slacks-based measure model which does not consider dual-role factor as a non-discretionary factor. To compare the results of proposed approach with conventional model, a statistical analysis is run. A numerical example demonstrates the application of the proposed method.
机译:常规的数据包络分析模型将双重角色因子视为非随意(不可控制)因子。但是,可能存在双重角色因素,该因素受决策者控制。此外,尽管有许多出版物都涉及双重角色因素,但似乎他们在单一模型中将因素分类为输入或输出的想法是有局限性的。他们也没有考虑非零输入和输出的松弛,并且不能完全衡量决策部门的效率低下。为了解决这些限制并考虑双角色因素,本文提出了一种基于松弛的测度模型,该模型不将双角色因素视为非自由因素。为了将提出的方法的结果与传统模型进行比较,进行了统计分析。数值算例说明了该方法的应用。

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