A procedure for ranking efficient units in data envelopment analysis
Management Science
A Complete Efficiency Ranking of Decision Making Units in Data Envelopment Analysis
Computational Optimization and Applications
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
An integrated AHP-DEA methodology for bridge risk assessment
Computers and Industrial Engineering
Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit
Expert Systems with Applications: An International Journal
Facts and fictions about the analytic hierarchy process
Mathematical and Computer Modelling: An International Journal
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This article presents a case study on how data envelopment analysis DEA and analytic hierarchy process AHP could be combined to produce priority rankings for a set of companies. The shortcomings of each method, when exclusively used to deal with multiple criteria decision analysis MCDA problems, are also analysed. The dataset of this study, arising from the European Union EU Industrial R&D Investment Scoreboard European Commission, 2009, consists of the top EU companies activating in the telecommunications equipment industry, which is one of the most representative information and communications technology ICT industries. Five criteria, namely, R&D investment, number of employees, capital expenditure, net sales, and operating profit, are used for defining priority rankings of these companies. The application of the case study indicates that the super-efficiency DEA model could be employed for ranking the companies at an initial stage; following that, ranking of the efficient companies could be attained through AHP.