A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends

Ankita Panwar; Maryam Olfati; Millie Pant; Vaclav Snasel

doi:10.1007/s11831-022-09770-3

A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends

Arch Comput Methods Eng. 2022;29(7):5397-5426. doi: 10.1007/s11831-022-09770-3. Epub 2022 Jun 10.

Authors

Ankita Panwar¹, Maryam Olfati², Millie Pant^{1

3}, Vaclav Snasel²

Affiliations

¹ Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand India.
² Electrical Engineering and Computer Science, Department of Computer Science, Technical University of Ostrava, Ostrava, Czech Republic.
³ Mehta Family School for Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand India.

Abstract

DEA, incepted in 80s, has emerged as a popular decision-making technique, for determining the efficiency of similar units. Due to its simplicity and applicability, DEA has gained the attention of scientists and researchers working in diverse areas, which has contributed towards a rich literature both in terms of theoretical development as well as different applications. This paper tries to bring together the near 40 years of existence of DEA in a concise format by discussing the popular DEA models, their advantages and shortcomings, and different applications of DEA. It also provides a brief bibliometric analysis to highlight the development of DEA over the years in terms of publication trends, highly cited papers, journal citation, etc.

Publication types

Review