evaluation and ranking of rail freight and passenger transportation in same asian countries with new method in data envelopment analysis

The evaluation of organizational performance can have a significant impact on the activities of the organization. one of the most useful applications for performance assessment is the use of data envelopment analysis (dea). dea is a mathematical programming method that measures the relative efficiency of organizational units having different inputs and outputs. the inability to rank efficient units is one of the major weaknesses of traditional dea methods. different methods for ranking efficient units have been proposed by researchers. in this paper, we present a method for ranking all dmus based on sound supporting hyperplanes. strong hyperplanes of production possibility set (pps) have always been the discerning focus of researchers and managers of organizations as well as calculating the replacement rates of inputs and outputs of hyperplane applications. moreover, having an explicit form of a production possibility set is beneficial for the managers for decisionmaking. the proposed method practically, does not undergo common ranking problems, such as, model permeability, small data instability, inability to rank the non-extreme units and with no false rankings. since rail transport plays an important role in the economic development of a country, many researchers have focused their attention on measuring efficiency and ranking in the rail transport industry. as an applied project, we shall assess rail and passenger transport in some asian countries. the evaluation is based on data from the international rail union (uic) in 2016.