Performance measurement of Decision Making Units (DMU) possessing an array of positive and negative type of input and output data has been an extensively researched topic in Data Envelopment Analysis. However, assessment of Returns to Scale (RTS) under negative data problem has only been attainable after the deliberation of a Variable Returns to Scale assumption. Steps referred earlier were indeed purported a solution around the vicinity of the Decision Making Unit under examination to predict the nature of the Returns to Scale of a firm. The extant investigation extends the research of Allahyar and Malkhalifeh [Comput. Ind. Eng. 82 (2015) 78–81] to identify a Pseudo Constant Returns to Scale Frontier for a negative data problem along with the new origin based on the provided data. However, this approach seems to be ineffective to create a frontier for multiple input output scenario. In this regard, a new variation of Multiplier form of BCC model is proposed here to detect the new origin for the sake of designing the Pseudo CRS frontier. Small examples are added for the elaboration of the CRS efficient DMUs using methods described by Allahyar and Malkhalifeh [Comput. Ind. Eng. 82 (2015) 78–81] to identify the new origin from the Multiplier form of BCC model. This outcome is finally validated with the aid of the multiplier model of Sahoo et al. [Eur. J. Oper. Res. 255 (2016) 545–558].
Keywords: Data Envelopment Analysis, negative data, constant return to scale
@article{RO_2021__55_S1_S1585_0,
author = {Sarkar, Subhadip},
title = {Construction of {Pseudo} {CRS} frontier for a negative data using {RTS} model of {Allahyar} & {A} modified multiplier {BCC} model},
journal = {RAIRO. Operations Research},
pages = {S1585--S1603},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020039},
mrnumber = {4223164},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020039/}
}
TY - JOUR AU - Sarkar, Subhadip TI - Construction of Pseudo CRS frontier for a negative data using RTS model of Allahyar & A modified multiplier BCC model JO - RAIRO. Operations Research PY - 2021 SP - S1585 EP - S1603 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020039/ DO - 10.1051/ro/2020039 LA - en ID - RO_2021__55_S1_S1585_0 ER -
%0 Journal Article %A Sarkar, Subhadip %T Construction of Pseudo CRS frontier for a negative data using RTS model of Allahyar & A modified multiplier BCC model %J RAIRO. Operations Research %D 2021 %P S1585-S1603 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020039/ %R 10.1051/ro/2020039 %G en %F RO_2021__55_S1_S1585_0
Sarkar, Subhadip. Construction of Pseudo CRS frontier for a negative data using RTS model of Allahyar & A modified multiplier BCC model. RAIRO. Operations Research, Tome 55 (2021), pp. S1585-S1603. doi: 10.1051/ro/2020039
and , Translation invariance in data envelopment analysis. Oper. Res. Lett. 9 (1990) 403–405. | Zbl | DOI
and , Negative data in data envelopment analysis: efficiency analysis and estimating return to scale. Comput. Ind. Eng. 82 (2015) 78–81. | DOI
and , A new inverse data envelopment analysis model for mergers with negative data. Inst. Math. App. J. Manage. Math. 29 (2018) 137–149. | MR
and , Closest targets and strong monotonicity on the strongly efficient frontier in DEA. Omega 44 (2014) 51–57. | DOI
, and , Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30 (1984) 1078–1092. | Zbl | DOI
, , , and , Data transformation in DEA cone ratio envelopment approaches for monitoring bank performances. Eur. J. Oper. Res. 98 (1997) 250–268. | Zbl | DOI
, and , Benefit and distance functions. J. Econ. Theory 70 (1996) 407–419. | Zbl | DOI
, and , Profit, directional distance functions, and Nerlovian efficiency. J. Optim. Theory App. 98 (1998) 351–364. | MR | Zbl | DOI
, and , Measuring the efficiency of decision-making units. Eur. J. Oper. Res. 2 (1978) 429–444. | MR | Zbl | DOI
, , and , Cone ratio data envelopment analysis and multi-objective programming. Int. J. Syst. Sci. 20 (1989) 1099–1118. | MR | Zbl | DOI
, and , A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis. Eur. J. Oper. Res. 225 (2013) 100–105. | DOI
, and , Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Kluwer Academic Publishers, New York, NY 2 (2011) 42–43. | Zbl
and , A semi-oriented radial measure for measuring the efficiency of decision making units with negative data, using DEA. Eur. J. Oper. Res. 200 (2010) 297–304. | Zbl | DOI
and , Theory and application of directional distance functions. J. Prod. Anal. 13 (2000) 93–103. | DOI
, and , The Measurement of Efficiency of Production. Kluwer Nijhoff Publishing, Boston, MA (1985).
, , and , Multilateral productivity comparison when some outputs are undesirable: a non-parametric approach. Rev. Econ. Stat. 71 (1989) 90–98. | DOI
, and , Production Frontiers. Cambridge University Press, Cambridge, UK (1994).
, The measurement of productive efficiency. J. R. Stat. Soc. Ser.-A 120 (1957) 253–281. | DOI
, and , Dealing with interval-scale data in data envelopment analysis. Eur. J. Oper. Res. 137 (2002) 22–27. | Zbl | DOI
, , , and , Sustainable design performance evaluation with application in automobile industry: focusing on the inefficiency by undesirable factors. Omega 41 (2013) 553–558. | DOI
, Modern Microeconomics, 2nd edition. Macmillan Press Ltd, New York, NY (1979) 76–82.
and , A directional distance based super-efficiency DEA model handling negative data. J. Oper. Res. Soc. 68 (2017) 1312–1322. | DOI
, Benefit functions and duality. J. Math. Econ. 21 (1992) 461–481. | MR | Zbl | DOI
and , Modified semi-oriented Radial Measure for measuring the efficiency of DMUs. In: With 3rd Operation, Research Conference (2010).
, and , An extended slacks-based measure model for data envelopment analysis with negative data. J. Oper. Res. Soc. 66 (2015) 1206–1211. | DOI
, Efficiency of bank branches through DEA: the attracting of liabilities. Working Paper, Universidad de Alicante, Alicante (1993).
, Translation invariance in data envelopment analysis: a generalization. Ann. Oper. Res. 66 (1996) 93–102. | MR | Zbl | DOI
and , Variable with negative values in DEA, edited by and . In: Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Springer, Boston, MA (2007) 63–84. | Zbl
, and , Negative data in DEA: a directional distance approach applied to bank branches. J. Oper. Res. Soc. 55 (2004) 1111–1121. | Zbl | DOI
, Data Envelopment Analysis Theory & Techniques for Economics & Operation Research. Cambridge University Press, New York, NY (2004). | MR | Zbl
, , and , Returns to scale and most productive scale size in DEA with negative data. Eur. J. Oper. Res. 255 (2016) 545–558. | MR | DOI
, Undesirable outputs in efficiency valuations. Eur. J. Oper. Res. 132 (2001) 400–410. | Zbl | DOI
, A bibliography of data envelopment analysis. Working Paper, Department of Industrial Engineering and Operations Research, University of Amherst, MA (1989).
, and , A modified slack-based measure model for data envelopment analysis with “natural” negative outputs and input. J. Oper. Res. Soc. 57 (2006) 1–6.
, Cost and Production Functions. Princeton University Press, Princeton, NJ (1953). | Zbl
, Measuring returns to scale in the aggregate, and the scale effect of public goods. Econometrica 45 (1977) 1439–1455. | MR | Zbl | DOI
, The lack of invariance of optimal dual solutions under translation. Ann. Oper. Res. 66 (1996) 103–108. | MR | Zbl | DOI
, , and , A modified slacks-based ranking method handling negative data in data envelopment analysis. Willey Expert Syst. 36 (2019) e12329. | DOI
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