Outputs Estimation and Efficiency Improvement of Two-Stage Network Systems
محورهای موضوعی : International Journal of Data Envelopment AnalysisZahra Shiri Daryani 1 , Sahbnam Rzavyan 2
1 - Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
کلید واژه: Inverse data envelopment analysis, two-stage network, unchanged efficiency score, output estimation, variable returns to scale,
چکیده مقاله :
Although data envelopment analysis (DEA) is a mathematic based technique to estimate the efficiency score of decision making unit (DMU)s with multiple inputs and outputs, inverse DEA (invDEA) is a method to estimate inputs/outputs of DMUs with respect to unchanged efficiency score. In the general point of view, DMUs are considered as black-box, however there are units, which have internal process, that are called two-stage network systems. This paper proposes method for outputs estimation and efficiency improvement of DMUs with two-stage network structure when inputs are revised. Finally, a case study is presented to show the differences between proposed methods.
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