Centralized resource allocation for enhanced Russell models
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摘要
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.
论文关键词:Data envelopment analysis,Allocation,Resource management,Fractional programming
论文评审过程:Received 20 December 2008, Revised 2 January 2010, Available online 1 June 2010.
论文官网地址:https://doi.org/10.1016/j.cam.2010.05.029