Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4636047 | Applied Mathematics and Computation | 2006 | 9 Pages |
Abstract
Data envelopment analysis is a mathematical programming technique for identifying efficient frontiers for peer decision making units with multiple inputs and multiple outputs. These performance factors (inputs and outputs) are classified into two groups: desirable and undesirable. Obviously, undesirable factors in production process should be reduced to improve the performance. In the current paper, we present a data envelopment analysis (DEA) model in which can be used to improve the relative performance via increasing undesirable inputs and decreasing undesirable outputs.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Alireza Amirteimoori, Sohrab Kordrostami, Maryam Sarparast,