An optimistic-pessimistic DEA model based on game cross efficiency approach

Örkçü, Mediha; Özsoy, Volkan Soner; Örkçü, H. Hasan

doi:10.1051/ro/2019052

Cited by 10 publications

(3 citation statements)

References 41 publications

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“…e production points located on the track were the most efficient input-output combination and their efficiency value was 1. With full technical efficiency, namely, with the least input or the maximum output under the given input, the efficiency value and projection value of different DMU were calculated by using the relationship between the actual observed value of DMU and the position of the efficiency frontier [16]. e main data model of DEA method is as follows.…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm

Guan

Zou

Liu

et al. 2022

Computational Intelligence and Neuroscience

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This paper proposes a performance evaluation method of public administration departments based on the improved DEA algorithm, which solves the quality problem of performance evaluation of public administration departments and lays a foundation for the long-term development and performance improvement of public administration departments. The DEA model is the core to sort out the performance evaluation methods of public administration departments. From the perspective of DEA algorithm, whether DEA is effective is an important content that public administration departments must consider when carrying out performance administration, and public service satisfaction is the core parameter obtained by DEA algorithm. That is to say, by optimizing public services and improving service satisfaction, the public administration department can further improve the quality of performance evaluation. Therefore, we can carry out performance evaluation of public administration departments from the satisfaction of public services. The empirical research conclusion shows that according to the effective judgment theorem of DEA, it can be concluded that among the eight social security departments, there are five departments that can achieve DEA effectiveness, namely department 2, department 3, department 4, department 5, and department 6. There are three non-DEA valid ones, namely, department 1, department 7 and department 8. The public satisfaction and the total service cost will affect the performance quality to a certain extent, and only by balancing various influencing factors can the performance evaluation quality of the public administration department be maximized.

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Section: Methodsmentioning

confidence: 99%

Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm

Guan

Zou

Liu

et al. 2022

Computational Intelligence and Neuroscience

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show abstract

“…In order to overcome this problem, Doyle and Green (1994) proposed to build one secondary goal (SG) model, which could not only obtain unique final efficiency for all DMUs but also contribute to the theoretical research of the DEA method. The SG model can be constructed from multiple perspectives, including benevolent/aggressive (Doyle and Green, 1994; Wu et al , 2016a, 2016b and Chen and Wang, 2020), neutral (Wang and Chin, 2010; Ramón et al , 2011 and Shi et al , 2021) and other strategies (Wu et al , 2016a, 2016b, Örkcü et al , 2020 and Li et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

An extended cross-efficiency evaluation method based on information entropy with an application to the urban logistics industry

Jiang

Liu

2022

JM2

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Purpose Green economy and economic development with high quality have set higher requirements for the development of the urban logistics industry. It can grasp the recent development level of the urban logistics industry by measuring its environmental efficiency to guide its future development direction. The purpose of this study is to improve the environmental efficiency and development level of the urban logistics industry by using a reasonable evaluation method. Design/methodology/approach This paper uses information entropy to directly aggregate index weights from different models to acquire comprehensive index weights (CIWs) for calculating peer-evaluation efficiency. Then, we weight self and peer-efficiencies to obtain final efficiency. The environmental efficiencies of the urban logistics industry in Anhui Province in 2019 are obtained according to the above method. Findings Several findings are summarized below. The logistics industry in Anhui is in urgent need of improving environmental efficiency. The environmental efficiency of the logistics industry in North Anhui is the highest one, showing that the logistics industry in North Anhui has achieved a relative balance between economic development and environmental protection. Their final cross-efficiency values based on the CIWs are smaller than those based on the comprehensive efficiency. And the environmental efficiency of almost all urban logistics industries is lower than its economic efficiency. The findings show that the proposed method is feasible and more reasonable. More economic implications and suggestions are proposed. Originality/value This paper proposes an extended cross-efficiency evaluation method based on information entropy to measure the environmental efficiency of the urban logistics industry, effectively avoiding the overestimation of efficiency results.

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“…The data of input variables and output variables can be proportional or non-proportional. In the DEA method, there is no need to formulate weights for input variables and output variables, which avoids errors caused by human factors, and is more objective and fair [15]. DEA is applicable in many situations, and it has certain advantages in the analysis of situations with multiple input variables and multiple output variables, so it is widely used in many fields, such as government agencies, power industry, financial institutions, medical care, military , logistics and transportation and other fields, analyze the production and operation efficiency and resource use level of decision-making units to improve the organizational performance of multiple departments.…”

Section: Dea Model Based On Sbm Optimizationmentioning

confidence: 99%

DEA Model and Energy Efficiency Improvement under Thermal Automatic Control

2020

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The issue of energy has always been the focus of the international community, on the one hand, because of the limited and scarce energy, on the other hand, because energy is of great significance to the sustainable development of human society. This paper mainly studies the DEA model under thermal automatic control and the improvement of energy efficiency. This paper first defines the concept of energy, classifies energy, and analyzes the theoretical basis of energy efficiency. The DEA model and SBM model are explained in detail. The Three-stage DEA model is optimized by using the SBM model. The optimized model is used to study the energy efficiency optimization of company A. through the research results, it can be seen that the Three-stage DEA model can be used to optimize the inefficient workshops and key redundant inputs of company a, so as to achieve the effect of optimizing redundant inputs and improving workshop efficiency.

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An optimistic-pessimistic DEA model based on game cross efficiency approach

Cited by 10 publications

References 41 publications

Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm

Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm

An extended cross-efficiency evaluation method based on information entropy with an application to the urban logistics industry

DEA Model and Energy Efficiency Improvement under Thermal Automatic Control

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