We begin with the basic DEA Models and some useful extensions (although we expect that some will see it as too much while others as too little). While we promised to minimize the mathematics, some are, unfortunately, unavoidable. We have excluded any specific discussion of the underlying linear programming (LP) mathematics that drives DEA, and while some general understanding of this is helpful for understanding the academic literature, it is not needed to understand the benefits and ways to apply DEA.
CITATION STYLE
Paradi, J. C., Sherman, H. D., & Tam, F. K. (2018). DEA models overview. In International Series in Operations Research and Management Science (Vol. 266, pp. 3–39). Springer New York LLC. https://doi.org/10.1007/978-3-319-69725-3_1
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