search query: @author Zhu, J. / total: 8
reference: 2 / 8
| Author: | Seiford, L. M. Zhu, J. |
| Title: | Modeling Undesirable Factors in Efficiency Evaluation |
| Journal: | European Journal of Operational Research
2002 : OCT, VOL. 142:1, p. 16-20 |
| Index terms: | DATA ANALYSIS EFFECTIVENESS ANALYTICAL REVIEW EVALUATION |
| Language: | eng |
| Abstract: | Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with n performance factors which are grouped into outputs and inputs. Once the efficient frontier is determined, inefficient DMUs can improve their performance to reach the efficient frontier by either increasing their current output or decreasing their current input levels. However, both desirable (good) and undesirable (bad) factors may be present. For example, if inefficiency exists in production processes where final products are manufactured with a production of wastes and pollutants, the outputs of wastes and pollutants are undesirable and should be reduced to improve the performance. |
SCIMA