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Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: An application of 500 major industrial enterprises in Turkey

机译:基于超松弛的数据包络分析模型测量制造企业的绩效:土耳其500家主要工业企业的应用

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Data envelopment analysis (DEA) is a mathematical programming technique which has a wide application area. There are many applications of DEA to measure firms' performance. Balance sheet data is frequently used in order to measure performance of firms through DEA. So it is the characteristic of balance sheets that assets and liabilities amount to the same value. When the data for inputs and outputs are selected from both assets and liabilities sections of the balance sheet, it is important that more attention be paid to the analysis since values assigned to inputs and outputs could be included in assets and liabilities at the same time. Such a situation could create problems concerning the conclusions drawn as a result of analysis. This study recommends appropriate inputs and outputs to measure firms' performance under different perspective. In addition, the obtained data reveled that by using super slacks based model in DEA solver pro 4. 1, the outputs could take negative or zero values. Furthermore, the model allows getting a ranking of efficient firms. Data obtained from 500 major industrial enterprises of Turkey were used in this analysis so as to apply the model. (c) 2006 Elsevier B.V. All rights reserved.
机译:数据包络分析(DEA)是一种数学编程技术,具有广泛的应用领域。 DEA在衡量企业绩效方面有许多应用。资产负债表数据经常用于通过DEA衡量企业的绩效。因此资产负债表的特征是资产和负债的价值相同。从资产负债表的资产和负债部分中选择投入和产出的数据时,重要的是要更加重视分析,因为分配给投入和产出的价值可以同时包含在资产和负债中。这种情况可能会产生与分析得出的结论有关的问题。这项研究建议适当的投入和产出,以不同角度衡量企业的绩效。此外,获得的数据表明,通过在DEA解算器pro 4. 1中使用基于超松弛的模型,输出可以取负值或零值。此外,该模型还可以对有效公司进行排名。该分析使用了从土耳其500家主要工业企业获得的数据,以应用该模型。 (c)2006 Elsevier B.V.保留所有权利。

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