Integer Dea Models

Sebastián Lozano () and Gabriel Villa

Chapter Chapter 15 in Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, 2007, pp 271-289 from Springer

Abstract: Abstract Conventional Data Envelopment Analysis (DEA) models consider that inputs and outputs are continuous (i.e. real-valued) amounts. However, there are many applications in which one or more inputs and/or outputs are necessarily integer quantities. Commonly, in these situations, the non-integer targets are rounded off. However, rounding off may easily lead to an infeasible target (i.e. out of the Production Possibility Set) or to a dominated operation point. In this chapter, a general framework to handle integer inputs and outputs is presented and a number of integer DEA models reviewed. We illustrate the working of the proposed approach with on a problem from the literature.

Keywords: Data Envelopment Analysis (DEA); Performance; Efficiency; Integer data (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-0-387-71607-7_15

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