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Information Journal Paper

Title

NON-DISCRETIONARY FACTORS IN DATA ENVELOPMENT ANALYSIS: REVIEW AND EXTENSION

Pages

  1147-1154

Abstract

DATA ENVELOPMENT ANALYSIS (DEA) technique uses linear programming to evaluate the relative EFFICIENCY of a homogeneous set of Decision Making Units (DMUs) in their use of multiple inputs to produce multiple outputs. The standard DEA models do not take into account non-discretionary inputs and outputs and ignore the possibility that EFFICIENCY may be correlated with the NON-DISCRETIONARY FACTORS. However, one key issue in performance measurement problems is how to treat NON-DISCRETIONARY FACTORS, which influence the performance of DMUs and are, at the same time, out of the control of the management. In this paper, a new model for measuring EFFICIENCY is defined such that NON-DISCRETIONARY FACTORS are taken into account by the decision maker. The main contributions of this paper are fourfold: (1) we review the existing approaches for measuring EFFICIENCY scores to control NON-DISCRETIONARY FACTORS in production; (2) we provide a discussion of strengths and weaknesses and highlighting potential limitations of the existing non-discretionary DEA models; (3) we propose a new approach based on relative importance of non-discretionary inputs that overcomes existing weaknesses; (4) we use a numerical example to demonstrate the feasibility and richness of the obtained solutions.

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    APA: Copy

    FALLAH JELODAR, MEHDI. (2017). NON-DISCRETIONARY FACTORS IN DATA ENVELOPMENT ANALYSIS: REVIEW AND EXTENSION. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, 5(1 (17)), 1147-1154. SID. https://sid.ir/paper/242734/en

    Vancouver: Copy

    FALLAH JELODAR MEHDI. NON-DISCRETIONARY FACTORS IN DATA ENVELOPMENT ANALYSIS: REVIEW AND EXTENSION. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS[Internet]. 2017;5(1 (17)):1147-1154. Available from: https://sid.ir/paper/242734/en

    IEEE: Copy

    MEHDI FALLAH JELODAR, “NON-DISCRETIONARY FACTORS IN DATA ENVELOPMENT ANALYSIS: REVIEW AND EXTENSION,” INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, vol. 5, no. 1 (17), pp. 1147–1154, 2017, [Online]. Available: https://sid.ir/paper/242734/en

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