Research on Multi-Index Network DEA Model
Ling Li, Jianyong Liu, Yuan Wang
Abstract
Ling Li, Jianyong Liu, Yuan Wang
Abstract
In view of the defect that network DEA (data envelopment analysis) can not establish the model of multi-index synchronously, we proposed multi-index network DEA evaluation method. Cost-type, fixed-type and income-type indices were managed suitably to form inputs and outputs. The linear programming model and its dual model of multi-index network DEA were set up. The correlative definition and theorem of the hybrid model were given. The paper proved that the decision making unit (DMU) being multi-index network DEA efficient is also multi-index DEA efficient when the model doesn’t consider the subsystems, and the subsystems of the DMU are all multi-index DEA efficient synchronously. These results enrich DEA efficient theory further. An example indicated that the hybrid evaluation method can solve multi-index problem efficiently, it can also provide improved information between inefficient DMU and optimum values. The new measure can be a good tool of systems analysis.
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In view of the defect that network DEA (data envelopment analysis) can not establish the model of multi-index synchronously, we proposed multi-index network DEA evaluation method. Cost-type, fixed-type and income-type indices were managed suitably to form inputs and outputs. The linear programming model and its dual model of multi-index network DEA were set up. The correlative definition and theorem of the hybrid model were given. The paper proved that the decision making unit (DMU) being multi-index network DEA efficient is also multi-index DEA efficient when the model doesn’t consider the subsystems, and the subsystems of the DMU are all multi-index DEA efficient synchronously. These results enrich DEA efficient theory further. An example indicated that the hybrid evaluation method can solve multi-index problem efficiently, it can also provide improved information between inefficient DMU and optimum values. The new measure can be a good tool of systems analysis.
Key concepts: Data envelopment analysis, Index (typography), Measure (data warehouse), Set (abstract data type), Computer science, Mathematical optimization, Dual (grammatical number), Linear programming