Efficiency measurement for general network systems: a slacks-based measure model

被引:0
作者
Victor John M. Cantor
Kim Leng Poh
机构
[1] National University of Singapore,Department of Industrial Systems Engineering and Management
来源
Journal of Productivity Analysis | 2020年 / 54卷
关键词
Data envelopment analysis; Efficiency; Network SBM; C61; D24; Q40;
D O I
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中图分类号
学科分类号
摘要
Traditional radial DEA models treat DMUs as black boxes, whose internal structures are ignored, and measure input and output changes proportionally. On the other hand, network DEA models consider the internal structure of a DMU as a network system where sub-processes are connected by intermediate products aside from consuming main inputs and producing final outputs. The interest in network DEA has increased over the years producing different types of formulations including the network slacks-based measure DEA (NSBM). NSBM is a non-radial network approach suitable for measuring efficiencies when inputs and outputs may change non-proportionally. However, NSBM models and some of its recent developments failed to adhere to three important efficiency measurement issues: (a) able to properly define overall and divisional efficiencies, (b) able to identify Pareto-Koopmans efficiency status, and (c) able to show equivalence of primal (multiplier) and dual (envelopment) forms of the network DEA model. This study addressed these issues based on the NSBM approach and compared the results of the proposed network SBM model with other existing models in the literature. A numerical study on 10 electric power companies further illustrated the use and significance of the proposed network SBM model in efficiency measurement.
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页码:43 / 57
页数:14
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共 123 条
[1]  
Amatatsu H(2012)Efficiency and returns-to-scale of local governments J Oper Res Soc 63 299-305
[2]  
Ueda T(2009)Opening the black box of efficiency analysis: an illustration with UAE banks Omega 37 930-941
[3]  
Amatatsu Y(2015)An illustration of dynamic network DEA in commercial banking including robustness tests Omega 55 141-150
[4]  
Avkiran NK(2012)Sensitivity analysis of network DEA: NSBM versus NRAM Appl Math Comput 218 11226-11239
[5]  
Avkiran NK(1984)Some models for estimating technical and scale inefficiencies in data envelopment analysis Manag Sci 30 1078-1092
[6]  
Avkiran NK(2016)A modified SBM-NDEA approach for the efficiency measurement in bank branches Oper Res 16 301-326
[7]  
McCrystal A(1984)The non-Archimedean CCR ratio for efficiency analysis: a rejoinder to Boyd and Färe Eur J Oper Res 15 333-334
[8]  
Banker RD(1984)Preface to topics in data envelopment analysis Ann Oper Res 2 59-94
[9]  
Charnes A(1985)Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions J Econom 30 91-107
[10]  
Cooper WW(1978)Measuring the efficiency of decision making units European J Oper Res 2 429-444