Comprehensive Evaluation for Efficiency of Bus Routes with Data Envelopment Analysis

2005 ◽  
Vol 40 (0) ◽  
pp. 64-64
Author(s):  
Yasushi HIGASHIMOTO ◽  
Kunihiro KISHI ◽  
Keiichi SATOH
2014 ◽  
Vol 687-691 ◽  
pp. 1560-1563
Author(s):  
Han Cong Tang ◽  
Yan An Dong

This paper presents three models as a potential decision making method for selecting the best baseball, field hockey, and women’s basketball NCAA Division I coaches. Five indicators, synthesized coaching efficiency, winning percentage, consecutive championship, achievement index and gender, are introduced to give a comprehensive evaluation of coaching ability. The preliminary served as a filter model to screen out less capable coaches and a robust ranking within top 10 is achieved. The Data Envelopment Analysis (DEA) model takes the time line horizon into consideration, and helps find less efficient coaches. By comparing the first two models, we obtain a reasonable assessment of coaches from different time period. Finally, by applying the Analytical Hierarchy Process (AHP), minor changes in judgment matrices can be made to adjust the ratio of male to female in the top 5 coaches.


2018 ◽  
Vol 10 (11) ◽  
pp. 3897 ◽  
Author(s):  
Zhijiang Li ◽  
Decai Tang ◽  
Mang Han ◽  
Brandon Bethel

In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.


2005 ◽  
Vol 40.3 (0) ◽  
pp. 379-384
Author(s):  
Yasushi Higaashimoto ◽  
Kunihiro Kishi ◽  
Keiichi Satoh

2013 ◽  
Vol 443 ◽  
pp. 58-61
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Ai Min Yang ◽  
Li Nan Shi

For the existing problems in the design of mechanical products, based on the theory of fuzzy mathematics, the paper constructs fuzzy comprehensive evaluation model to comprehensively evaluate the existing problems. Then, by the obtained results, the model has a high degree of subjectivity. So, the paper combines data envelopment analysis with fuzzy comprehensive evaluation model, and establishes evaluation model of fuzzy data envelopment analysis. Ultimately, the paper improves the reliable and scientific evaluation model.


2013 ◽  
Vol 438-439 ◽  
pp. 839-844 ◽  
Author(s):  
Bin Bin Tang ◽  
Bao Chen Liu ◽  
Zhi Hua Deng

This paper takes cascade hydropower station project as the research object. It puts forward an economic post project evaluation of hydropower station`s analysis framework -- "static analysis and comprehensive evaluation" based on building the evaluation index set and data envelopment analysis. This paper takes economic post project evaluation of Yuanshui cascade hydropower station as an example to verify the science and effectiveness of the analysis framework and model. The results enrich the theory and model technique of economic post project evaluation of hydropower stations.


Author(s):  
Sepky Mardian ◽  
Rismayanti Rismayanti ◽  
Mustafa Kamal ◽  
Rianti Pratiwi

Abstract   This paper analyzes the efficiency of Badan Aml Zakat Nasional (BAZNAS) and Dompet Dhuafa from 2002 to 2018. Based on selected input and output, the intermediary approach assumes that BAZNAS and Dompet Dhuafa act as a link between muzakki (giver) and beneficiaries. Furthermore, BAZNAS and Dompet Dhuafa were selected as decision-making units (DMU) from 2002 to 2018, and their efficiency was measured using Data Envelopment Analysis (DEA) method under output-orientation with Constant Return to Sclae (CRS) and Variable Return to Scale (VRS) assumptions. The results showed both BAZNAS and Dompet Dhuafa raise the optimum efficiency in the years before 2007. Meanwhile, their inefficiency was mostly due to lack of input such as higher personalia (amil/volunteers) expenses. Therefore, these findings suggests that both technical and scale efficiency should be improved by adjusting the input. This is to achieve the most efficient and productive level of performance in order to fulfill the institutions' objectives as an intermediary between muzakki and the beneficiaries. This paper is among the pioneers that analyzed the efficiency of zakat institutions from their initial establishment to present. Also, existing papers examined data spanning 5 years or less. Hence, long duration of data analysis provides a comprehensive evaluation of fluctuations in the zakat institutions efficiency and their supporting or inhibiting factors.  


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