Theoretical developments in balance model and models with virtual weight restrictions
RAIRO. Operations Research, Tome 55 (2021), pp. S2359-S2372

The balance model (BM) is a unit invariant model in which takes into account the imposed strategies for DMUs through adding some balance constraints to the basic DEA models in general and the CCR model in particular. Also, balance factor is calculated along with efficiency, effectiveness and similar concepts. The mentioned balance constraints belong to the virtual weight restrictions (VWRs) category. However, to date, the consequences of incorporating weight restrictions (e.g. absolute weight restrictions, assurance regions type I (ARI), assurance regions type II (ARII)) within the classical DEA models have been explored by scholars, but are not considered for virtual weight restrictions. This paper analyses properties of the balance model and subsequently the models with VWRs by an illustrative example. The results show that models with such restrictions correctly maximize the relative efficiency (RE) of the assessed DMU despite the fact that none of the DMUs might be fully efficient (i.e. with efficiency score of 1). In addition, feasibility conditions are discussed. Finally, the proposed method will be applied to assess the branches of a specialized bank of Iran as a real application.

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DOI : 10.1051/ro/2020084
Classification : 90C08
Keywords: Data envelopment analysis, balance model, virtual weight restrictions
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     title = {Theoretical developments in balance model and models with virtual weight restrictions},
     journal = {RAIRO. Operations Research},
     pages = {S2359--S2372},
     year = {2021},
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Rajabi Tanha, Masoumeh; Alirezaee, Mohammadreza. Theoretical developments in balance model and models with virtual weight restrictions. RAIRO. Operations Research, Tome 55 (2021), pp. S2359-S2372. doi: 10.1051/ro/2020084

[1] H. Ahn, L. Neumann and N. Vazquez Novoa, Measuring the relative balance of DMUs. Eur. J. Oper. Res. 221 (2012) 417–423 [corrigendum: Eur. J. Oper. Res. 222 (2012) 686.]. | Zbl | DOI

[2] M. R. Alirezaee and M. Rajabi Tanha, Extending the Malmquist index to consider the balance factor of decision making units in a productivity analysis. IMA J. Manage. Math. 27 (2016) 439–452. | MR | Zbl

[3] R. Allen, A. Athanassopoulos, R. G. Dyson and E. Thanassoulis, Weights restrictions and value judgments in data envelopment analysis: evolution development and future directions. Ann. Oper. Res. 73 (1997) 13–34. | Zbl | DOI

[4] R. D. Banker, A. Charnes and W. W. Cooper, Some models for estimating technical and scale inefficiency in data envelopment analysis. Manage. Sci. 31 (1984) 1078–1092. | Zbl | DOI

[5] A. Charnes, W. W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. | MR | Zbl | DOI

[6] S. Dimitrov and W. Sutton, Generalized symmetric weight assignment technique: incorporating managerial preferences in data envelopment analysis using a penalty function. Omega 41 (2013) 48–54. | DOI

[7] H. Dyckhoff, M. Clermont, A. Dirksen and E. Mbock, Measuring balanced effectiveness and efficiency of German business schools research performance. In: Performance Management im Hochschulbereich, edited by Alexander Dilger, Harald Dyckhoff and Günter Fandel. Springer Gabler (2013) 39–60. | DOI

[8] R. G. Dyson and E. Thanassoulis, Reducing weight flexibility in data envelopment analysis. J. Oper. Res. Soc. 39 (1988) 563–576. | DOI

[9] R. G. Dyson, R. Allen, A. S. Camanho, V. V. Podinovski, C. S. Sarrico and E. A. Shale, Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132 (2001) 245–259. | Zbl | DOI

[10] H. Eilat, B. Golany and A. Shtub, Constructing and evaluating balanced portfolios of R&D projects with interactions: a DEA based methodology. Eur. J. Oper. Res. 172 (2006) 1018–1039 | Zbl | DOI

[11] M. P. Estellita Lins, A. C. Moreira Da Silva, C. A. K. Lovell, Avoiding infeasibility in DEA models with weight restrictions. Eur. J. Oper. Res. 181 (2007) 956–966. | Zbl | DOI

[12] M. Halme, T. Joro, P. Korhonen, S. Salo and J. Wallenius, Avalue efficiency approach to incorporating preference information in data envelopment analysis. Manage. Sci. 45 (1999) 103–115. | Zbl | DOI

[13] M. Khalili, A. S. Camanho, M. C. A. S. Portela and M. R. Alirezaee, The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs. Eur. J. Oper. Res. 203 (2010) 761–770. | Zbl | DOI

[14] F. Pedraja-Chaparro, J. Salinas-Jimenez and P. Smith, On the role of weight restrictions in data envelopment analysis. J. Prod. Anal. 8 (1997) 215–230. | DOI

[15] V. V. Podinovski, Side effects of absolute weight bounds in DEA models. Eur. J. Oper. Res. 115 (1999) 583–595. | Zbl | DOI

[16] V. V. Podinovski, DEA models for explicit maximization of relative efficiency. Eur. J. Oper. Res. 52 (2001) 572–586. | MR | Zbl | DOI

[17] V. V. Podinovski, Production trade-offs and weight restrictions in data envelopment analysis. J. Oper. Res. Soc. 55 (2004) 1311–1322. | Zbl | DOI

[18] V. V. Podinovski, Computation of efficient targets in DEA models with production trade-offs and weight restrictions. Eur. J. Oper. Res. 181 (2007) 586–591. | MR | Zbl | DOI

[19] V. V. Podinovski, Optimal weights in DEA models with weight restrictions. Eur. J. Oper. Res. 254 (2016) 916–924. | MR | Zbl | DOI

[20] V. V. Podinovski and A. Athanassopoulos, Assessing the relative efficiency of decision making units using DEA models with weight restrictions. J. Oper. Res. Soc. 49 (1998) 500–508. | Zbl | DOI

[21] C. S. Sarrico and R. G. Dyson, Restricting virtual weights in data envelopment analysis. Eur. J. Oper. Res. 159 (2004) 17–34. | MR | Zbl | DOI

[22] E. Thanassoulis, M. C. A. S. Portela and O. Despic, Data envelopment analysis: the mathematical programming approach to efficiency analysis. In: The Measurement of Productive Efficiency and Productivity Growth, edited by H. O. Fried, C. A. K. Lovell and S. S. Schmidt. Oxford University Press, New York (2008) 251–420. | DOI

[23] R. G. Thompson, F. D. Singleton, R. M. Thrall and B. A. Smith, Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces 16 (1986) 35–49. | DOI

[24] R. G. Thompson, L. N. Langemeier, C. Lee, E. Lee and R. M. Thrall, The role of multiplier bounds in efficiency analysis with application to Kansas farming. J. Econom. 46 (1990) 93–108. | DOI

[25] D. L. Tracy and B. Chen, A generalized model for weight restrictions in data envelopment analysis. J. Oper. Res. Soc. 56 (2005) 390–396. | Zbl | DOI

[26] Y.-H. B. Wong and J. E. Beasley, Restricting weight flexibility in data envelopment analysis. J. Oper. Res. Soc. 41 (1990) 829–835. | Zbl | DOI

[27] A. Zanella, A. S. Camanho and T. G. Dias, Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis. Eur. J. Oper. Res. 245 (2015) 517–530. | MR | Zbl | DOI

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