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Evaluation and ranking of manufactured cars in Iran using
Network Data Envelopment Analysis model

Kamran JALILIAN, Kameleh Nasiri PIRBAZARI
Faculty of Mathematical Sciences, University of Guilan at Rasht, Namju Street, Iran
jalilian.kamran20@gmail.com, k-nasiri@guilan.ac.ir

Abstract: Data Envelopment Analysis (DEA) is a mathematical programming-based approach to evaluating and ranking decision-making units (DMUs) with multiple inputs and outputs. These DMUs can be banks, various organizations, or even factory-manufactured cars. Network Data Envelopment Analysis (NDEA) is an extension of the DEA that considers intermediate structures in performance evaluation for DMUs. The purpose of the present paper is to evaluate and rank cars using the NDEA technique. As such we first present two models of NDEA including a multiple form and envelopment form for a simple two-step process in network data envelopment analysis. Finally, using the two models presented, 43 cars manufactured in the Iranian auto factories are ranked.

Keywords: Ranking, Evaluation, Network Data Envelopment Analysis, Automotive.

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CITE THIS PAPER AS:
Kamran JALILIAN, Kameleh Nasiri PIRBAZARI, Evaluation and ranking of manufactured cars in Iran using Network Data Envelopment
Analysis model
, Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 30(3), pp. 49-62, 2020. https://doi.org/10.33436/v30i3y202004