Evaluation of the Relative Efficiency of Gas Stations by Data Envelopment Analysis

Roxana Asayesh^1, and Zahra Faeghi Raad²

¹Young Researchers and Elite Club, Rasht Branch, Rasht, Iran

²Department of management, Islamic Azad University, Rasht, Iran

Cite this paper:
Roxana Asayesh and Zahra Faeghi Raad. Evaluation of the Relative Efficiency of Gas Stations by Data Envelopment Analysis. International Journal of Data Envelopment Analysis and *Operations Research*. 2014; 1(1):12-15. doi: 10.12691/ijdeaor-1-1-2

Abstract

Performance measurement is an important part of management science and operation research. Data Envelopment Analysis is a powerful analytical tool that has been successfully applied for measuring and benchmarking the relative performance in a wide variety of activities. Data Envelopment Analysis assists decision makers to distinguish efficient and inefficient decision making units in a homogeneous group. Super-efficiency Data Envelopment Analysis models can be used in ranking the performance of efficient decision making units. In this paper, Data Envelopment Analysis is employed to present a mathematical model for evaluating the relative efficiency of gas stations of Iranian Oil products Company. Banker, Charnes and Cooper model is applied to determine the relative efficiency of the stations. Super efficiency model of Andersen and Petersen and Slack Based Measure of Super efficiency ranking method are used to determine the most efficient unit.

Keywords:
data envelopment analysis decision making unit ranking super efficiency input/output

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