Proper and Consistent Production Tradeoffs in Models of Data Envelopment Analysis

Published Online:https://doi.org/10.1287/opre.2025.1995

References

  • Allen R, Athanassopoulos A, Dyson RG, Thanassoulis E (1997) Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions. Ann. Oper. Res. 73:13–34.CrossrefGoogle Scholar
  • Amado CAEF, Santos SP (2009) Challenges for performance assessment and improvement in primary health care: The case of the Portuguese health centres. Health Policy 91(1):43–56.CrossrefGoogle Scholar
  • Atici KB, Podinovski VV (2015) Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture. Omega 54:72–83.CrossrefGoogle Scholar
  • Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Sci. 30(9):1078–1092.LinkGoogle Scholar
  • Capeletti NM, Amado CAF, Santos SP (2024) Performance assessment of primary health care services using data envelopment analysis and the quality-adjusted Malmquist index. J. Oper. Res. Soc. 75(2):361–377.CrossrefGoogle Scholar
  • Chambers RG, Chung Y, Färe R (1998) Profit, directional distance functions, and Nerlovian efficiency. J. Optim. Theory Appl. 98(2):351–364.CrossrefGoogle Scholar
  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6):429–444.CrossrefGoogle Scholar
  • Färe R, Grosskopf S (2010) Directional distance functions and slacks-based measures of efficiency. Eur. J. Oper. Res. 200(1):320–322.CrossrefGoogle Scholar
  • Färe R, Grosskopf S, Lovell CAK (1985) The Measurement of Efficiency of Production (Kluwer, Boston).CrossrefGoogle Scholar
  • Fukuyama H, Weber WL (2009) A directional slacks-based measure of technical inefficiency. Socio-Econom. Planning Sci. 43(4):274–287.CrossrefGoogle Scholar
  • Harju M, Liesiö J, Virtanen K (2019) Spatial multi-attribute decision analysis: Axiomatic foundations and incomplete preference information. Eur. J. Oper. Res. 275(1):167–181.CrossrefGoogle Scholar
  • Hazen GB (1986) Partial information, dominance, and potential optimality in multiattribute utility theory. Oper. Res. 34(2):296–310.LinkGoogle Scholar
  • Keeney R, Raiffa H (1976) Decisions with Multiple Objectives: Preferences and Value Tradeoffs (Wiley, New York).Google Scholar
  • Khalili M, Camanho AS, Portela MCAS, Alirezaee MR (2010) The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs. Eur. J. Oper. Res. 203(3):761–770.CrossrefGoogle Scholar
  • Mehdiloo M, Papaioannou G, Podinovski VV (2026) Production trade-offs in free disposal hull technologies. Eur. J. Oper. Res. 328(2):530–544.CrossrefGoogle Scholar
  • Podinovski VV (2004) Production trade-offs and weight restrictions in data envelopment analysis. J. Oper. Res. Soc. 55(12):1311–1322.CrossrefGoogle Scholar
  • Podinovski VV, Bouzdine-Chameeva T (2013) Weight restrictions and free production in data envelopment analysis. Oper. Res. 61(2):426–437.LinkGoogle Scholar
  • Podinovski VV, Bouzdine-Chameeva T (2015) Consistent weight restrictions in data envelopment analysis. Eur. J. Oper. Res. 244(1):201–209.CrossrefGoogle Scholar
  • Podinovski VV, Bouzdine-Chameeva T (2021) Optimal solutions of multiplier DEA models. J. Prod. Anal. 56(1):45–68.CrossrefGoogle Scholar
  • Podinovski VV, Wu J, Argyris N (2024) Production trade-offs in models of data envelopment analysis with ratio inputs and outputs: An application to schools in England. Eur. J. Oper. Res. 313(1):359–372.CrossrefGoogle Scholar
  • Ravanos P, Karagiannis G (2023) On VEA, production trade-offs and weights restrictions. J. Oper. Res. Soc. 74(10):2081–2093.CrossrefGoogle Scholar
  • Razipoor-GhalehJough S, Lofti FH, Jahanshahloo G, Rostami-Malkhalifeh M, Sharafi H (2020) Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis. Ann. Oper. Res. 288(2):755–787.CrossrefGoogle Scholar
  • Rockafellar RT (1970) Convex Analysis (Princeton University Press, Princeton, NJ).CrossrefGoogle Scholar
  • Roets B, Verschelde M, Christiaens J (2018) Multi-output efficiency and operational safety: An analysis of railway traffic control centre performance. Eur. J. Oper. Res. 271(1):224–237.CrossrefGoogle Scholar
  • Santos SP, Amado CAF (2014) On the need for reform of the Portuguese judicial system – Does data envelopment analysis assessment support it? Omega 47:1–16.CrossrefGoogle Scholar
  • Santos SP, Amado CAF, Rosado JR (2011) Formative evaluation of electricity distribution utilities using data envelopment analysis. J. Oper. Res. Soc. 62(7):1298–1319.CrossrefGoogle Scholar
  • Santos AJR, Santos SP, Amado CAF, Rebelo EL, Mendes JC (2020) Labor inspectorates’ efficiency and effectiveness assessment as a learning path to improve work-related accident prevention. Ann. Oper. Res. 288(2):609–651.CrossrefGoogle Scholar
  • Thanassoulis E, Portela MCS, Despić O (2008) Data envelopment analysis: The mathematical programming approach to efficiency analysis. Fried HO, Lovell CAK, Schmidt SS, eds. The Measurement of Productive Efficiency and Productivity Growth (Oxford University Press, New York), 251–420.CrossrefGoogle Scholar
  • Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130(3):498–509.CrossrefGoogle Scholar
  • Weber M (1987) Decision making with incomplete information. Eur. J. Oper. Res. 28(1):44–57.CrossrefGoogle Scholar
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