Weight Restrictions and Free Production in Data Envelopment Analysis

Published Online:https://doi.org/10.1287/opre.1120.1122

References

  • Allen R, Athanassopoulos A, Dyson RG, Thanassoulis E. Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions. Ann. Oper. Res. (1997) 73:13–34CrossrefGoogle Scholar
  • Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. (1978) 2(6):429–444CrossrefGoogle Scholar
  • Charnes A, Cooper WW, Huang ZM, Sun DB. Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks. J. Econometrics (1990) 46(1–2):73–91CrossrefGoogle Scholar
  • Charnes A, Cooper WW, Wei QL, Huang ZM. Cone ratio data envelopment analysis and multi-objective programming. Internat. J. Systems Sci. (1989) 20(7):1099–1118CrossrefGoogle Scholar
  • Cook WD, Seiford LM. Data envelopment analysis (DEA)—Thirty years on. Eur. J. Oper. Res. (2009) 192(1):1–17CrossrefGoogle Scholar
  • Cook WD, Zhu J. Context-dependent assurance regions in DEA. Oper. Res. (2008) 56(1):69–78LinkGoogle Scholar
  • Cooper WW, Seiford LM, Tone K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (2007) (Springer, New York) CrossrefGoogle Scholar
  • Cooper WW, Seiford LM, Zhu J. Handbook on Data Envelopment Analysis (2011) (Springer, New York) CrossrefGoogle Scholar
  • Dyson RD, Thanassoulis E. Reducing weight flexibility in data envelopment analysis. J. Oper. Res. Soc. (1988) 39(6):563–576CrossrefGoogle Scholar
  • Färe R, Grosskopf S, Lovell CAK. The Measurement of Efficiency of Production (1985) (Kluwer Academic Publishers, Hingham, MA) CrossrefGoogle Scholar
  • Halme M, Korhonen P. Restricting weights in value efficiency analysis. Eur. J. Oper. Res. (2000) 126(1):175–188CrossrefGoogle Scholar
  • Pedraja-Chaparro F, Salinas-Jimenez J, Smith P. On the role of weight restrictions in data envelopment analysis. J. Productivity Anal. (1997) 8(2):215–230CrossrefGoogle Scholar
  • Podinovski VV. DEA models for the explicit maximisation of relative efficiency. Eur. J. Oper. Res. (2001) 131(3):572–586CrossrefGoogle Scholar
  • Podinovski VV. Production trade-offs and weight restrictions in data envelopment analysis. J. Oper. Res. Soc. (2004) 55(12):1311–1322CrossrefGoogle Scholar
  • Podinovski VV. The explicit role of weight bounds in models of data envelopment analysis. J. Oper. Res. Soc. (2005) 56(12):1408–1418CrossrefGoogle Scholar
  • Podinovski VV. Improving data envelopment analysis by the use of production trade-offs. J. Oper. Res. Soc. (2007) 58(10):1261–1270CrossrefGoogle Scholar
  • Podinovski VV, Førsund FR. Differential characteristics of efficient frontiers in data envelopment analysis. Oper. Res. (2010) 58(6):1743–1754LinkGoogle Scholar
  • Rockafellar RT. Convex Analysis (1970) (Princeton University Press, Princeton, NJ) CrossrefGoogle Scholar
  • Roll Y, Golany B. Alternate methods of treating factor weights in DEA. Omega (1993) 21(1):99–109CrossrefGoogle Scholar
  • Roll Y, Cook WD, Golany B. Controlling factor weights in data envelopment analysis. IIE Trans. (1991) 23(1):2–9CrossrefGoogle Scholar
  • Salo A, Punkka A. Ranking intervals and dominance relations for ratio-based efficiency analysis. Management Sci. (2011) 57(1):200–214LinkGoogle Scholar
  • Shephard RW, Eichhorn W, Henn R, Opitz O, Shephard RW. Semi-homogeneous production functions and scaling of production. Production Theory (1974) (Springer-Verlag, New York) 253–285CrossrefGoogle Scholar
  • Thanassoulis E. Introduction to the Theory and Application of Data Envelopment Analysis (2001) (Kluwer Academic Publishers, Boston) CrossrefGoogle Scholar
  • Thanassoulis E, Portela MCS, Despić O, Fried HO, Lovell CAK, Schmidt SS. Data envelopment analysis: The mathematical programming approach to efficiency analysis. The Measurement of Productive Efficiency and Productivity Growth (2008) (Oxford University Press, New York) 251–420CrossrefGoogle Scholar
  • Thompson RG, Langemeier LN, Lee CT, Lee E, Thrall RM. The role of multiplier bounds in efficiency analysis with application to Kansas farming. J. Econometrics (1990) 46(1–2):93–108CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.