臺灣博碩士論文加值系統

This study proposes network DEA (Data Envelopment Analysis) models to evaluate the efficiency of Mongolian hospitals. In the proposed multi-objective programming (MOP) model for utilizing the DEA models, the efficiency of each division (within a hospital) and the overall efficiency of a hospital are formulated as different objective functions. Using the fuzzy approach, the overall, as well as the divisional efficiencies can be computed in a cohesive framework. The case study is from the Health Statistics Department of the Government Implementing Agency – Department of Health of Mongolia. The results show that this study obtains satisfactory and discriminating efficiency scores compared with related studies.

This study proposes network DEA (Data Envelopment Analysis) models to evaluate the efficiency of Mongolian hospitals. In the proposed multi-objective programming (MOP) model for utilizing the DEA models, the efficiency of each division (within a hospital) and the overall efficiency of a hospital are formulated as different objective functions. Using the fuzzy approach, the overall, as well as the divisional efficiencies can be computed in a cohesive framework. The case study is from the Health Statistics Department of the Government Implementing Agency – Department of Health of Mongolia. The results show that this study obtains satisfactory and discriminating efficiency scores compared with related studies.

Chapter I Introduction 1
1.1 Research Motivation 1
1.2 Research Purposes 4
1.3 Research Process and Method 5
Chapter II Literature Review 7
2.1 Measuring Efficiency with DEA 7
2.1.1 CCR Model 9
2.1.2 BCC Model 11
2.1.3 Network DEA 13
2.2 Other Methods 16
2.3 Related Studies in Hospital Evaluation 19
Chapter III Proposed Methodologies 22
3.1 Problem 22
3.2 Multi-objective Programming 24
3.3 Data and Sample 27
3.4 Solutions 30
3.4.1 Separate model 30
3.4.2 Black box model 31
3.4.3. Integration model 32
Chapter IV Empirical Results 34
4.1 Software 34
4.1.1 Separate model 35
4.1.2 Black box model 36
4.1.3 Compensatory integration model 38
4.1.4 Non- Compensatory integration model 40
4.2 Results of Efficiency Analysis 45
4.3 Discussion 61
Chapter V Conclusion and Suggestions 62
References 63

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