An AHP-DEA Approach for Evaluating Electricity Generation Firms of OECD Countries

As the most important kind of energy needed in the world, electrical energy is one of the major means of contemporary civilization which has contributed to the economic, social, and cultural development of communities. Effective use of resources, environmentally friendly production, keeping up-to-date with technology, and demand are significant factors in electricity generation. In this respect, considering the influence of the existence and feasibility of fossil resources, new, and renewable resources on nations' energy policies, the aim of this study is to evaluate efficiency developments of the 13 largest electricity generation firms in the member countries of the Organization for Economic Co-operation and Development. In the study, the analytic hierarchy process and the data envelopment analysis-Malmquist productivity index approaches were integrated to assess qualitative and quantitative factors together. The efficient/inefficient firms in 2008 and 2009 were determined, and a development of 7.7% in 2009 due to technological change was found.

[1]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[2]  Wen-Chyuan Chiang,et al.  A decision support framework for internal audit prioritization in a rental car company: A combined use between DEA and AHP , 2009, Eur. J. Oper. Res..

[3]  Zilla Sinuany-Stern,et al.  An AHP/DEA methodology for ranking decision making units , 2000 .

[4]  J. C. Kim,et al.  Productivity Growth, Technical Progress, and Efficiency Changes in Air Transport Industry , 2005 .

[5]  Jukka Korpela,et al.  Warehouse operator selection by combining AHP and DEA methodologies , 2007 .

[6]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[7]  Seong Kon Lee,et al.  Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach , 2010 .

[8]  M. Farrell,et al.  THE MEASUREMENT OF PRODUCTIVITY EFFICIENCY , 1957 .

[9]  Yuan-Duen Lee,et al.  Applying integrated DEA/AHP to evaluate the economic performance of local governments in China , 2011, Eur. J. Oper. Res..

[10]  C. Lovell,et al.  A note on the Malmquist productivity index , 1995 .

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

[12]  Ali Azadeh,et al.  Integration of DEA and AHP with computer simulation for railway system improvement and optimization , 2008, Appl. Math. Comput..

[13]  Taho Yang,et al.  A hierarchical AHP/DEA methodology for the facilities layout design problem , 2003, Eur. J. Oper. Res..

[14]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[15]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[16]  Jun Liu,et al.  An integrated AHP-DEA methodology for bridge risk assessment , 2008, Comput. Ind. Eng..

[17]  Da Ruan,et al.  Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems , 2006, Inf. Sci..

[18]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[19]  Tzai-Zang Lee,et al.  Comparing appropriate decision support of human resource practices on organizational performance with DEA/AHP model , 2009, Expert Syst. Appl..

[20]  G. C. Pentzaropoulos,et al.  Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study , 2008 .