Results Of Data Envelopment Analysis Model Research Articles

Measuring Public Hospitals Performance in Health Resource Poor Environment: A Data Envelopment Analysis Approach

Performance metrics of public hospitals in health resource poor environment should be considered crucial in the process of functional evaluation of the health sector. These metrics assume important dimensions in term of implication for service extension, stewardship and justifications of public resource expenditure. The present study utilised data envelopment analysis (DEA) methodology to shed light on the operational data of 32 government-owned hospitals in order to identify the magnitude of (in)efficiency in the hospital system. Results of DEA models indicate that 66.7% of these public hospitals are technically inefficient with overall average efficiency score of 0.73. In addition, 22 hospitals were found to be scale inefficient; 57.6% of these facilities being under increasing returns to scale regime. The study suggests a resource re-allocation strategy as well as managerial and policy initiatives focused on reducing costs of care.

Benchmarking in the Supply Chain Using Data Envelopment Analysis

It is necessary to evaluate performance using a proper combination of all resources of supply chain in the best possible way to provide products and services in the market. One strategy to measure supply chain efficiency is the data envelopment analysis (DEA), which involves use of current inputs and outputs to evaluate supply chain performance. Therefore, the outcome of each DEA evaluation is not suitable for providing suitable benchmark for the future. Hence, managers are not able to improve the activities of their subset using the results of DEA model. For this purpose, we forecast data of units under evaluation using system dynamics simulation and then we present a proper model to formulate strategies for improving performance using the proposed DEA model. Finally, we implemented the designed algorithm in the milk industry of Fars province (Iran), and proper strategies for improving the efficiency of this industry were developed.

Optimal Scheme Selection of Agricultural Production Structure Adjustment — Based on DEA Model; Punjab (Pakistan)

This paper used the modern evaluation method of DEA (Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carried on.

Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework

Data envelopment analysis (DEA) has proven to be a useful tool for assessing efficiency or productivity of organizations, which is of vital practical importance in managerial decision making. DEA provides a significant amount of information from which analysts and managers derive insights and guidelines to promote their existing performances. Regarding to this fact, effective and methodologic analysis and interpretation of DEA results are very critical. The main objective of this study is then to develop a general decision support system (DSS) framework to analyze the results of basic DEA models. The paper formally shows how the results of DEA models should be structured so that these solutions can be examined and interpreted by analysts through information visualization and data mining techniques effectively. An innovative and convenient DEA solver, SmartDEA, is designed and developed in accordance with the proposed analysis framework. The developed software provides DEA results which are consistent with the framework and are ready-to-analyze with data mining tools, thanks to their specially designed table-based structures. The developed framework is tested and applied in a real world project for benchmarking the vendors of a leading Turkish automotive company. The results show the effectiveness and the efficacy of the proposed framework.