Aims and Scope

International journal of Data Envelopment Analysis has been earmarked for publishing innovative and original papers in all fields related to Data Envelopment Analysis. This journal publishes original papers with high quality which contribute to the methodology of operational research and data envelopment analysis. Applicable articles from different aspects of operational research, data envelopment analysis, expansion of developed and new theories related  to these fields, performance evaluation, productivity growth, and the applications related to these areas are of major importance for this journal. Creativity should be demonstrated by providing novelty insights which leads to successful implementation or by applying OR to a problem. Subjects related to operational research in mathematics, engineering, and their application in various sciences along with DEA techniques will be published in this journal. Papers which do not contain a fundamental new research finding or fiction approach to the application of OR and DEA will be rejected. The same is true for those papers in poor English. By Submitting an article the authors imply that the work described has not been published previously and also it is not under consideration for publication elsewhere. This journal will be an excellent source for mathematicians, industrial engineers, management engineering, computer engineering, statisticians, technological and scientific specialists, all the specialists in efficiency and productivity evaluation, and specialists investigating in these fields.

This journal will publish papers in the area of Data envelopment Analysis and its Applications on: Theoretical extensions, Efficiency, Returns to Scale, Congestion, Malmquist Productivity Index, Ranking,Benchmarking, Weight Controlling(Trade-offs), Cost Efficiency and revenue Efficiency, Sensitivity Analysis, Economic Efficiency, Multi component Efficiency, Network DEA, Undesirable factors, Integer DEA, Discretionary factors, Resource Reallocation, Meta Heuristic methods and evolutionary algorithm in DEA, Multi objective programming, Fuzzy DEA, AHP-DEA, Stochastic DEA and Applications in Industry, banking, and other disciplines.