The use of categorical variables in data envelopment analysis
Management Science
A note on “the use of categorical variables in data envelopment analysis"
Management Science
Categorical outputs in data envelopment analysis
Management Science
Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software
Resource allocation and target setting in data envelopment analysis
Expert Systems with Applications: An International Journal
Application of centralised DEA approach to capital budgeting in Spanish ports
Computers and Industrial Engineering
Allocating fixed resources and setting targets using a common-weights DEA approach
Computers and Industrial Engineering
Technical Note: A note on integer-valued radial model in DEA
Computers and Industrial Engineering
Using DEA to find the best partner for a horizontal cooperation
Computers and Industrial Engineering
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This paper addresses DEA scenarios whose inputs and outputs are naturally restricted to take integer values. Conventional DEA models would project the DMU onto targets that generally do not respect such type of integrality constraints. Although integer-valued inputs and outputs can be considered as a special case of ordinal inputs and outputs, the use of that type of models has many drawbacks. In this paper a MILP DEA model that guarantees the required integrality of the computed targets is proposed.