Measuring the Efficiency of Iranian Airlines Manager Using Network Data Envelopment Analysis

Pourmand, Masoumeh; Rostamy Malkhalifeh, Mohsen; Afshar Kazemi, Mohammad Ali; Keramati, Mohammad Ali

doi:10.22034/joae.2025.500513.1266

Measuring the Efficiency of Iranian Airlines Manager Using Network Data Envelopment Analysis

Document Type : Original Article

Authors

masoumeh pourmand ¹

mohsen rostamy malkhalifeh ²

mohammad ali Afshar kazemi ³

mohammad ali keramati ³

¹ 1. Ph.D. Candidate in industrial Management, Faculty of management, Science and Research Branch, Islamic Azad University, Tehran, Iran

² 2. Prof., Faculty of management, Science and Research Branch, Islamic Azad University, Tehran, Iran

³ Prof., Faculty of management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

10.22034/joae.2025.500513.1266

Abstract

This study investigates the efficiency of total and independent sub-units of a decision-making unit under uncertainty using fuzzy logic and a new method of data envelopment analysis. Initially, the shortcomings of standard models were examined, followed by an analysis of different approaches to network data envelopment analysis. Intermediate measures that should be maximized in the first stage and minimized in the second stage were modelled. Given the ambiguity and uncertainty in the real world, fuzzy logic and the concept of alpha-cut were employed. The proposed fuzzy model, termed the fuzzy min-max method, was validated with existing data, and the performance of managers from 14 Iranian airlines was evaluated. The results indicated that Taban, is the only airline efficient in all three stages. Meraj airline, with a total efficiency of 0.35, has the lowest efficiency, primarily due to the first stage. This research demonstrates that evaluating the performance of airline managers using fuzzy network models can effectively measure managerial efficiency in multi-stage processes and high uncertainty scenarios.

Keywords

Two-stage Fuzzy Data Envelopment Analysis

Airline

fuzzy Min-Max approach

efficiency

Subjects