• Title of article

    Centralized resource allocation for enhanced Russell models

  • Author/Authors

    Hosseinzadeh Lotfi، نويسنده , , F. and Noora، نويسنده , , A.A. and Jahanshahloo، نويسنده , , G.R. and Gerami، نويسنده , , J. and Mozaffari، نويسنده , , M.R.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    10
  • From page
    1
  • To page
    10
  • Abstract
    This paper proposes a centralized resource allocation (CRA) model for the enhanced Russell model. All the DMUs can be easily projected onto the efficient frontier by solving only one model. This projection can be made by transforming the proposed model to a linear programming problem. In this paper, instead of non-radially increasing or decreasing the inputs or outputs individually, we increase or decrease non-radially all of the inputs and outputs at the same time. By solving a single model, we can provide targets for all DMUs. By the proposed approximation, different targets can be found for all DMUs, as compared to those obtained by the previous approximations. The proposed model can be developed to CRA models. Finally, an applied example emphasizes the importance of the proposed model.
  • Keywords
    Data Envelopment Analysis , allocation , Resource management , Fractional programming
  • Journal title
    Journal of Computational and Applied Mathematics
  • Serial Year
    2010
  • Journal title
    Journal of Computational and Applied Mathematics
  • Record number

    1555937