Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.amc.2005.12.029 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Data envelopment analysis,Efficiency,Undesirable factors | Operations research,Scheduling (production processes),Data envelopment analysis,Mathematics | Journal |
Volume | Issue | ISSN |
180 | 2 | 0096-3003 |
Citations | PageRank | References |
7 | 0.53 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alireza Amirteimoori | 1 | 182 | 23.77 |
| Sohrab Kordrostami | 2 | 76 | 13.38 |
| Maryam Sarparast | 3 | 7 | 0.53 |