Evaluation of supply chain performance using combination of DEA and fuzzy TOPSIS: a case from Iranian electric industry

Document Type : Original Article

Authors

1 Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

2 Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Faculty of Social Sciences and Business, Economics and Law, University of Turku, Finland.

4 Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran

Abstract
In today's world, supply chain discussion or performance evaluation debate is one of the most important issues in any industry. Performance evaluation refers to a set of actions and information that is implemented to increase the level of optimal use of resources and facilities in order to achieve goals in an economical manner combined with efficiency and effectiveness. Generally, the performance management system can be considered as a process of measuring, evaluating and comparing the amount and manner of achieving the desired status and, finally, improving performance. In this research, the efficiency of 7 units of the Iranian Electric Motors company is addressed using data envelopment analysis. To assess the company's efficiency, it has been used some parameters include intermediate cost, manpower costs, depreciation cost, value of outputs and value of data, and two outputs of factor productivity and competitiveness. So, using the data envelopment analysis, the efficiency of the model was obtained and the weighted criteria were calculated by the fuzzy TOPSIS multi-criteria decision-making method. Given that these supply chains are considered as the statistical society of the electromotor industry, and given that the average technical efficiency is 0.584, it can be concluded that the industry faces 0.416 technical inefficiencies, in its turn, it is a high value.

Keywords


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