2019Journal of mathematical extension.Open access

Evaluation and ranking of rail freight and passenger transportation in same Asian countries with new method in Data Envelopment Analysis

Alireza Salehi, Farhad Hosseinzadeh Lotfı, Mohsen Rostamy Malkhalifeh

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Abstract

Rail transportation plays an important role in one country's economic development. Therefore, many researchers have focused attention on the measurement of efficiency and ranking in the rail transportation industry. Evaluating organizational performance can produce significant effects on the organization’s activities. Data Envelopment Analysis (DEA) is a mathematical programming method, which measures the relative efficiency of the organizational units, which have multiple inputs and outputs. In this paper, we proposed a method for ranking all the Decision Making Units (DMUs) that is based on strong and weak supporting hyperplanes. As an applied project, we evaluate rail freight and passenger transportation in some Asian countries. The ranking is based on data from the International Union of Railways (UIC) in 2016.

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Rail transportation plays an important role in one country's economic development. Therefore, many researchers have focused attention on the measurement of efficiency and ranking in the rail transportation industry. Evaluating organizational performance can produce significant effects on the organization’s activities. Data Envelopment Analysis (DEA) is a mathematical programming method, which measures the relative efficiency of the organizational units, which have multiple inputs and outputs. In this paper, we proposed a method for ranking all the Decision Making Units (DMUs) that is based on strong and weak supporting hyperplanes. As an applied project, we evaluate rail freight and passenger transportation in some Asian countries. The ranking is based on data from the International Union of Railways (UIC) in 2016.

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Available abstract

Rail transportation plays an important role in one country's economic development. Therefore, many researchers have focused attention on the measurement of efficiency and ranking in the rail transportation industry. Evaluating organizational performance can produce significant effects on the organization’s activities. Data Envelopment Analysis (DEA) is a mathematical programming method, which measures the relative efficiency of the organizational units, which have multiple inputs and outputs. In this paper, we proposed a method for ranking all the Decision Making Units (DMUs) that is based on strong and weak supporting hyperplanes. As an applied project, we evaluate rail freight and passenger transportation in some Asian countries. The ranking is based on data from the International Union of Railways (UIC) in 2016.

Key concepts: Data envelopment analysis, Ranking (information retrieval), Operations research, Transport engineering, Efficiency, Computer science, Business, Engineering

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