The Application of the Fuzzy AHP and DEA for Measuring the Efficiency of Freight Transport Railway Undertakings

Measuring the performance of railway undertakings is inevitably becoming a prerequisite for their survival on the market in today's dynamic and highly turbulent environment. Railway undertakings must find optimal solutions in order to efficiently and effectively operate, survive on the transport market, and develop and maintain their competitive advantages as well. The objective of this research is to define and evaluate the criteria that affect the efficiency of railway undertakings, increase their competitiveness and propose a DEA-based approach (i.e. a Data-Envelopment-Analysis-based approach) to the assessment of the efficiency of railway undertakings in increasing competitiveness. In order to solve the criteria selection problem, the Fuzzy Analytical Hierarchical Processes (FAHP) method was experimented with, which showed the priority of the assessment of the efficiency of railway undertakings, on the basis of the five groups of criteria. The criteria in a group that outperformed the other criteria in that group for their freight transport railway undertakings within a composite normalized range were used as the input and output indicators for the DEA. The evaluation of the efficiency of the railway undertakings was considered by using the DEA approach. The results show that the proposed approach successfully enables the consolidation of a set of criteria (resource, operational, financial, quality and safety) into a single assessment of the efficiency of the railway undertakings, while providing information on the corrective actions that can improve the efficiency of the railway undertakings.

[1]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[2]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[3]  T. Oum,et al.  ECONOMIC EFFICIENCY OF RAILWAYS AND IMPLICATIONS FOR PUBLIC POLICY: A COMPARATIVE STUDY OF THE OECD COUNTRIES' RAILWAYS. IN: RAILWAYS , 2002 .

[4]  Dmitry Pavlyuk,et al.  An Efficiency Analysis of European Countries' Railways , 2008 .

[5]  Ming-Miin Yu,et al.  Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world's railways through NDEA analysis , 2008 .

[6]  Jin-Li Hu,et al.  Efficiency and productivity of the Chinese railway system: Application of a multi-stage framework , 2011 .

[7]  Marc Ivaldi,et al.  Railway (De)Regulation: A European Efficiency Comparison , 2004 .

[8]  Wang Jianjun The Research on Efficiency and Effectiveness of Rail Transport , 2012 .

[9]  Joe Zhu,et al.  Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver , 2002 .

[10]  Chris Nash,et al.  Benchmarking of train operating firms – a transaction cost efficiency analysis , 2010 .

[11]  Denis Borenstein,et al.  Measuring the efficiency of Brazilian post office stores using data envelopment analysis , 2004 .

[12]  L. Seiford,et al.  An investigation of returns to scale in data envelopment analysis , 1999 .

[13]  Lucía Isabel García-Cebrián,et al.  Measuring of production efficiency in the European railways , 1999 .

[14]  Ozcan Kilincci,et al.  Fuzzy AHP approach for supplier selection in a washing machine company , 2011, Expert Syst. Appl..

[15]  Ming-Miin Yu,et al.  Efficiency and effectiveness in railway performance using a multi-activity network DEA model , 2008 .

[16]  Sanjin Milinković,et al.  MODEL FOR RAILWAY INFRASTRUCTURE MANAGEMENT ORGANIZATION , 2012 .

[17]  Dejan Markovic,et al.  Stability of the Classifications of Returns to Scale in Data Envelopment Analysis: A Case Study of the Set of Public Postal Operators , 2014 .

[18]  Peter Wanke,et al.  Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies , 2017 .