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Journal articles on the topic 'Dea (methodes)'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Golpîra, Hêriş. "A Hybrid Clustering Method Using Balanced Scorecard and Data Envelopment Analysis." International Journal Of Innovation And Economic Development 1, no. 7 (2015): 15–25. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.17.2002.

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This paper introduces a new hybrid clustering method using Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methods. DEA cannot identify its’ input and output itself, and it is a major weakness of the DEA. In the proposed method, this gap is resolved by integrating DEA with BSC. Some decision-making units (DMUs) needed in DEA method, in compliance with some inputs and outputs is the major drawback of this integration. To deal with this disadvantage, the proposed method selects the most important strategic factors, attained from the BSC method. These data considered to be the input data for the DEA method to calculate relative closeness (RC) of each DMU to the ideal one. Plotting the screen diagram regarding RC index leads us to the final clustering method. Finally, computational results show the applicability and usefulness of the method.

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Germann, Klaus, and Thomas Cramer. "Methoden der Herkunftsbestimmung fur Naturwerksteine das Beispiel des Marmors." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 156, no. 1 (2005): 25–31. http://dx.doi.org/10.1127/1860-1804/2005/0156-0025.

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3

Wilmanns, O. "On the history of Central European dry grassland communities since the Late-Glacial - methods, facts, hypotheses." Phytocoenologia 27, no. 2 (1997): 213–33. http://dx.doi.org/10.1127/phyto/27/1997/213.

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4

Khodabakhshi, Mohammad, Farhad Hosseinzadeh Lotfi, and Kourosh Aryavash. "Review of Input Congestion Estimating Methods in DEA." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/963791.

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Congestion is an economic phenomenon in the production process where excessive amounts of the input cause a reduction of the output. The motivation of this paper is to investigate and compare the methods provided for estimating congestion in the DEA literature.

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5

Roll, Y., and B. Golany. "Alternate methods of treating factor weights in DEA." Omega 21, no. 1 (1993): 99–109. http://dx.doi.org/10.1016/0305-0483(93)90042-j.

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6

Abooali, Danial, Reza Soleimani, and Ali Rezaei-Yazdi. "Modeling CO2 absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods." Separation Science and Technology 55, no. 4 (2019): 697–707. http://dx.doi.org/10.1080/01496395.2019.1575415.

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Yang, Yuying, Haixiang Guo, Deyun Wang, Xiaoling Ke, Shicheng Li, and Sirui Huang. "Flood vulnerability and resilience assessment in China based on super-efficiency DEA and SBM-DEA methods." Journal of Hydrology 600 (September 2021): 126470. http://dx.doi.org/10.1016/j.jhydrol.2021.126470.

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8

Tolga Taner, Mehmet, and Bulent Sezen. "An assessment of diagnostic efficiency by Taguchi/DEA methods." International Journal of Health Care Quality Assurance 22, no. 1 (2009): 93–98. http://dx.doi.org/10.1108/09526860910927989.

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9

Abbasi, Mehdi, and Mohamad Amin Kaviani. "Operational efficiency-based ranking framework using uncertain DEA methods." Management Decision 54, no. 4 (2016): 902–28. http://dx.doi.org/10.1108/md-09-2015-0413.

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Purpose – Competition in dynamic markets requires operational excellence and effective operations strategy. Hence, organizations have to evaluate their operational performance in comparison to their rivals. The purpose of this paper is to present an operational performance evaluation framework for analyzing and ranking the organizations based on the effectiveness of their operations strategies. Design/methodology/approach – In this study three uncertain data envelopment analysis (DEA) models consist of fuzzy DEA (FDEA), imprecise DEA (IDEA) and Grey DEA are applied to assess the performance of organizations in terms of the operations. The applicability of the proposed framework is demonstrated through a case study at Fars province cement manufacturers of Iran. Findings – The ranking results assist the mangers of service and manufacturing enterprises in finding out the current positions of their companies and the effectiveness of their operations strategies in comparison to their rivals. Accordingly they can make proper strategic and operational decisions to improve the performance of the operations. Originality/value – Based on the previous literature, this is the first study which uses FDEA and IDEA methods in an operational performance evaluation problem. Furthermore this study proposes a novel framework for evaluating and ranking the operational performance of firms from the perspective of operations strategy.

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Chvosta, Peter. "IN SEARCH OF THE SUBJECTIVE PUBLIC LAW: CONDITIONS FOR PARTICIPATION IN THE ADMINISTRATIVE PROCEDURE." Administrative law and process, no. 4 (27) (2019): 5–14. http://dx.doi.org/10.17721/2227-796x.2019.4.01.

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Purpose. The article is devoted to the legal figure of subjective public right in the context of legal protection in administrative matters. Methods. Based on the historical development of administrative jurisdiction in Austria and Germany in the 19th century, the function of the subjective public right is discussed in more detail: When the legislator grants citizens subjective public rights (and thus enforceable claims against the administration), the citizen can assert his or her individual interests before the courts by means of a right of defence against the state. At the same time, this results in an external legal control of the administration (compared to a mere internal administrative control by way of disciplinary measures) and thus promotes the rule of law of administrative action, which is in the public interest. Results. By pursuing his subjective public right, the citizen acting in his own interest indirectly contributes to the correct enforcement of the law. In a sense, he acts as an assistant to the public interest. The granting of a subjective public right also limits the group of persons who can take action against an administrative act, since otherwise anyone could challenge an administrative act. If the legislator has not expressly stipulated in the law which persons are entitled to a subjective public right in which respect, the determination of subjective public rights can be difficult in individual cases: When the law provides for a permit subject to certain conditions, the addressee of an administrative act is necessarily entitled to obtain a permit if the conditions required by law are met. The question is more complex in the case of persons who are not the addressee of an administrative act but who are affected by its effects. In this case, it must be determined by way of interpretation whether the legal provisions whose violation the citizen claims to have violated were passed not only to protect public interests but also, at least, in the interests of individual persons. Only then is there also a subjective public right of the individual to compliance with this provision. Conclusions. The legislator can avoid difficulties of interpretation by means of clear rules on the granting of subjective public rights. In particularly important administrative matters (e.g. approval of infrastructure projects), where the granting of subjective public rights is not sufficient to ensure judicial control of administrative acts, a larger group of persons can be granted party status.

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11

Aifeng, Song, Zhang XiaoYang, Huang Weilai, Yang xue, and Yang Juan. "Two-stage DEA for Bank Efficiency Evaluation Considering Shared Input and Unexpected Output Factors." E3S Web of Conferences 214 (2020): 01036. http://dx.doi.org/10.1051/e3sconf/202021401036.

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With the increasingly fierce market competition, only by relying on high-quality products and high customer satisfaction can enterprises survive in the fierce competition. Among many evaluation methods, Data Envelopment Analysis (DEA), as a non-parametric statistical method to effectively deal with multi-input and multi-output problems, has received more and more attention in evaluating the relative efficiency of decision-making units. In the process of bank efficiency evaluation based on DEA method, there will be a situation that banks have both dual role factors and unexpected output factors. The Two-stage DEA model provides an effective analysis method to solve the problem of bank efficiency evaluation of complex organizational structure. In order to evaluate the efficiency of unexpected output with uncertain information, a stochastic DEA model of unexpected output is established.

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12

Abdullah, Dahlan, Hartono, and Cut Ita Erliana. "Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking." JOIV : International Journal on Informatics Visualization 5, no. 1 (2021): 94. http://dx.doi.org/10.30630/joiv.5.1.405.

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The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process. The DDEA method proposed can determine the effectiveness of the Decision Making Unit (DMU). The disadvantage of the DDEA model is that it cannot handle problems that involve benchmarking for stochastic data. To improve the DDEA method, the Stochastic Data Envelopment Analysis (SDEA) method is proposed which can be used for benchmarking involving stochastic data. The SDEA method itself has weaknesses in dealing with noise and uncertainty problems that will appear in the assessment process. The purpose of the research conducted by the researcher was to use the Hesitant Fuzzy method in optimizing the SDEA method so that the Hesitant Fuzzy model - Stochastic Data Envelopment Analysis (HF-SDEA) could be carried out benchmarking process in a situation where the assessment contained many elements of uncertainty. The results of this study are benchmarking methods that can do benchmarking for stochastic data on conditions that contain elements of uncertainty.

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13

Henderson, Johnny, Q. Sheng, and Christopher C. Tisdell. "Constructive existence results for solutions to systems of boundary value problems via general Lyapunov methods." Differential Equations & Applications, no. 1 (2017): 57–68. http://dx.doi.org/10.7153/dea-09-05.

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Thi Vu, Loan, Nga Thu Nguyen, and Linh Hong Dinh. "Measuring banking efficiency in Vietnam: parametric and non-parametric methods." Banks and Bank Systems 14, no. 1 (2019): 55–64. http://dx.doi.org/10.21511/bbs.14(1).2019.06.

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The article aims to evaluate the business efficiency of commercial banks in Vietnam using both parametric and non-parametric approaches. In this study, the Stochastic Frontier Analysis (SFA), which belongs to a parametric method, and Data Envelopment Analysis (DEA), a non-parametric approach, are applied to a sample of 30 joint stock commercial banks in Vietnam in the period of 2011–2015. Applying Tobit regression model, the impact of bank size, bank age, and the ownership feature on the efficiency of bank service industry in Vietnam is also investigated. The analysis results show that in general, the Vietnamese banking efficiency is improving during the selected period regardless of techniques used. However, there is small level of similarity in efficiency rankings identified from the SFA and DEA models. In terms of efficiency determinants, the results show that all three variables of size, age, and state ownership have a positive impact on bank efficiency.

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15

Keren, Baruch, Yossi Hadad, and Zohar Laslo. "Combining AHP and DEA Methods for Selecting a Project Manager." Management - Journal for theory and practice of management 19, no. 71 (2014): 17–28. http://dx.doi.org/10.7595/management.fon.2014.0016.

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16

Haitao Su, Hengxin Ouyang, and Shijiang Chen. "Enterprise Operation Efficiency Analysis Based on RCA and DEA Methods." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 19 (2012): 184–90. http://dx.doi.org/10.4156/aiss.vol4.issue19.23.

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17

lo Storto, Corrado. "A double-DEA framework to support decision-making in the choice of advanced manufacturing technologies." Management Decision 56, no. 2 (2018): 488–507. http://dx.doi.org/10.1108/md-09-2016-0644.

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Purpose The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis. Design/methodology/approach The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator. Findings The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making. Originality/value This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.

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Vitezić, Neda, Stanka Setnikar Cankar, and Željko Linšak. "Effectiveness Measurement Using DEA & BSC Methods in Public Health Services." NISPAcee Journal of Public Administration and Policy 12, no. 1 (2019): 199–216. http://dx.doi.org/10.2478/nispa-2019-0009.

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AbstractIt is well-known that health-care systems all over the world try to improve efficiency and effectiveness due to high pressure to pursue rational performance. Many of the health-care reforms in different countries are conducted with the objectives to rationalise costs, to make health services more available, and to increase, or at least not to reduce, the quality of health services. Adequate efficient metrics used in assessing health-care services are critical for the quality of decision-making. The subject of this research is efficiency measurement in the institutes of public health in Croatia oriented to preventive activities, i.e. monitoring, analysis, and evaluation of the health of the population. Diversity of the programmes and temporal variability are the characteristics of public health services, and it is therefore harder to measure the effects in the long run. This research aims to analyse and propose a new approach to the measurement system using two methods: the Data Envelopment Analysis (DEA) and the Balanced Score Card (BSC), combined into the DEABSC integrative model, which can be an efficient method for the decision-making process. The starting point of this research is the analysis of the measurement system in public-health services in Croatia. The results confirm a weak and inadequate efficiency measurement system and very low effectiveness measurement. To enhance the efficiency measurement, we have developed the conceptual integrative DEABSC model which has been tested at the Teaching Institute of Public Health – the Department of Health Ecology. Using DEA for 2017, we have identified relatively efficient units that helped establish future goals set in the BSC strategic map. The combination of DEA and BSC allows identifying options for improving the effectiveness of public-health service programmes. The study confirms that it is possible to determine the relative efficiency of different DMUs within the Department of Health Ecology and use best practice for each perspective in the BSC Cause & Effect conceptual model. This paper also provides recommendations for an easier establishment of performance measurement in order to achieve the mission of public health institutions, but also indicates some limitations in the application of the methods.

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Krivonozhko, V. E., F. R. Førsund, and A. V. Lychev. "Methods for determination of multiple reference sets in the DEA models." Doklady Mathematics 85, no. 1 (2012): 134–38. http://dx.doi.org/10.1134/s1064562412010036.

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Wong, Brandon Y. H., Mariano Luque, and Jian-Bo Yang. "Using interactive multiobjective methods to solve DEA problems with value judgements." Computers & Operations Research 36, no. 2 (2009): 623–36. http://dx.doi.org/10.1016/j.cor.2007.10.020.

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Bougnol, M. L., J. H. Dulá, and P. Rouse. "Interior point methods in DEA to determine non-zero multiplier weights." Computers & Operations Research 39, no. 3 (2012): 698–708. http://dx.doi.org/10.1016/j.cor.2011.05.006.

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22

Yuan, Yi, and Mingfeng Shan. "The Educational Efficiency Evaluation Framework: By Using DEA Model and CA Method." International Journal of Information and Education Technology 6, no. 12 (2016): 923–26. http://dx.doi.org/10.7763/ijiet.2016.v6.818.

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23

Zha, Yong, and Liang Liang. "Aggregated Ratio Analysis in DEA." International Journal of Information Technology & Decision Making 14, no. 06 (2015): 1285–97. http://dx.doi.org/10.1142/s0219622014500114.

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DEA and ratio analysis are commonly viewed as alternatively effective tools in assessing the performance of different DMUs. Many researches have been developed to reveal their inherent relationship and to explore the integration of both methods as well. In this paper, we first question Theorem 1 by Wu et al. (International Journal of Information Technology & Decision Making 4(3) (2005) 369–384) and illustrate a counter example to show the nonequivalence between the aggregated ratio model they proposed and CCR model. The errors which existed in its proof are also indicated. Further, an improved aggregated ratio model is established to better comprehend the inner relationship between the two methods. We demonstrate its equivalence to traditional CCR model, and propose an inference that the observed DMU is ratio efficient if and only if it is CCR efficient. Numerical analysis carefully describes the nontrivial difference between the proposed model and that by Wu et al. (International Journal of Information Technology & Decision Making 4(3) (2005) 369–384), and validates the feasibility of our model.

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Štefko, Róbert, Jarmila Horváthová, and Martina Mokrišová. "The Application of Graphic Methods and the DEA in Predicting the Risk of Bankruptcy." Journal of Risk and Financial Management 14, no. 5 (2021): 220. http://dx.doi.org/10.3390/jrfm14050220.

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The paper deals with the issue of analyzing the financial failure of businesses. The aim was to select key performance indicators entering the DEA model. The research was carried out on a sample of 343 Slovak heat management companies. When addressing the research problem, we made use of multidimensional scaling (MDS) and principal component analysis (PCA), which pointed out the areas of financial health of companies that may predict their financial failure. The core of our interest and research was the data envelopment analysis (DEA) method, which represents a more exact approach to the assessment of financial health. The important finding is that the statistical graphical methods—PCA and MDS—are very helpful in identifying outliers and selecting key performance indicators entering the DEA model. The benefit of the paper is the identification of companies that are at risk of bankruptcy using the DEA method. The originality is the selection of key inputs and outputs to the DEA model by the PCA method.

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25

Akbarian, Dariush. "Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods." Journal of Optimization 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/594727.

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The aim of this paper is to present an original approach for ranking of DEA-efficient DMUs based on the cross efficiency and analytic hierarchy process (AHP) methods. The approach includes two basic stages. In the first stage using DEA models the cross efficiency value of each DEA-efficiency DMU is specified. In the second stage, the pairwise comparison matrix generated in the first stage is utilized to rank scale of the units via the one-step process of AHP. The advantage of this proposed method is its capability of ranking extreme and nonextreme DEA-efficient DMUs. The numerical examples are presented in this paper and we compare our approach with some other approaches.

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Chen, Xiaoqing, Xinwang Liu, and Zaiwu Gong. "Extended DEA model under type-2 fuzzy environment." Kybernetes 48, no. 5 (2019): 1095–133. http://dx.doi.org/10.1108/k-02-2018-0066.

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Purpose The purpose of this paper is to combine the uncertain methods of type-2 fuzzy sets and data envelopment analysis (DEA) evaluation model together. A new type-2 fuzzy DEA efficiency assessment method is established. Then the proposed procedure is applied to the poverty alleviation problem. Design/methodology/approach The research method is the DEA model, which is an effective method for efficiency assessment of social–economic systems. Considering the existence of the same efficiency values that cannot be ranked in the proposed DEA model, the balance index is introduced to solve the ranking problem of decision-making units effectively. Findings The results show that the proposed method can not only measure the efficiency of the existence of uncertain information but also deal with the ranking of multiple efficient decision-making units. Originality/value This paper selects type-2 fuzzy DEA model to express a lot of uncertain information in efficiency evaluation problems. We use the parameter decomposition method of type-2 fuzzy programming or the type-2 expectation values indirectly. The balance index is proposed to further distinguish the multiple effective decision-making units. Furthermore, this paper selects rural poverty alleviation in Hainan Province as a case study to verify the feasibility of the method. The relative efficiency values in different years are calculated and analyzed.

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Danielson, Mats, Love Ekenberg, and Ying He. "Augmenting Ordinal Methods of Attribute Weight Approximation." Decision Analysis 11, no. 1 (2014): 21–26. http://dx.doi.org/10.1287/deca.2013.0289.

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Akbal, Bahadir. "GSA-ANN and DEA-ANN Methods to Prevent Underground Cable Line Faults." International Journal of Computer and Electrical Engineering 10, no. 2 (2018): 85–93. http://dx.doi.org/10.17706/ijcee.2018.10.2.85-93.

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Amin, Gholam R., and Mohaddeseh Hajjami. "Application of Optimistic and Pessimistic OWA and DEA Methods in Stock Selection." International Journal of Intelligent Systems 31, no. 12 (2016): 1220–33. http://dx.doi.org/10.1002/int.21824.

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Shirouyehzad, Hadi, Ehsan Pourjavad, and Arash Shahin. "Integration of ANP and DEA methods for evaluating efficiency of maintenance strategies." International Journal of Manufacturing Technology and Management 34, no. 4 (2020): 311. http://dx.doi.org/10.1504/ijmtm.2020.10028449.

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Pourjavad, Ehsan, Hadi Shirouyehzad, and Arash Shahin. "Integration of ANP and DEA methods for evaluating efficiency of maintenance strategies." International Journal of Manufacturing Technology and Management 34, no. 4 (2020): 311. http://dx.doi.org/10.1504/ijmtm.2020.108016.

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Yang, Jian-Bo, Brandon Y. H. Wong, Dong-Ling Xu, and Theodor J. Stewart. "Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods." European Journal of Operational Research 195, no. 1 (2009): 205–22. http://dx.doi.org/10.1016/j.ejor.2008.01.013.

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Roulier, Christia, and Béatrice Werffeli. "Integrierte pflanzensoziologische synusiale Methode und Untersuchung der Dynamik der Auenwälder der Schweiz." River Systems 9, no. 3-4 (1996): 357–65. http://dx.doi.org/10.1127/lr/9/1996/357.

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Roldán, Teo, and Inmaculada Higueras. "IRK methods for DAE: starting algorithms." Journal of Computational and Applied Mathematics 111, no. 1-2 (1999): 77–92. http://dx.doi.org/10.1016/s0377-0427(99)00133-8.

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Cheng, Y. M., and Y. H. Zhang. "Coupling of FEM and DDA Methods." International Journal of Geomechanics 2, no. 4 (2002): 503–17. http://dx.doi.org/10.1061/(asce)1532-3641(2002)2:4(503).

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Philibert, H., G. Wobeser, and R. G. Clark. "COUNTING DEAD BIRDS: EXAMINATION OF METHODS." Journal of Wildlife Diseases 29, no. 2 (1993): 284–89. http://dx.doi.org/10.7589/0090-3558-29.2.284.

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Turnipseed, A. A., S. N. Pressley, T. Karl, et al. "The use of disjunct eddy sampling methods for the determination of ecosystem level fluxes of trace gases." Atmospheric Chemistry and Physics 9, no. 3 (2009): 981–94. http://dx.doi.org/10.5194/acp-9-981-2009.

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Abstract. The concept of disjunct eddy sampling (DES) for use in measuring ecosystem-level micrometeorological fluxes is re-examined. The governing equations are discussed as well as other practical considerations and guidelines concerning this sampling method as it is applied to either the disjunct eddy covariance (DEC) or disjunct eddy accumulation (DEA) techniques. A disjunct eddy sampling system was constructed that could either be combined with relatively slow sensors (response time of 2 to 40 s) to measure fluxes using DEC, or could also be used to accumulate samples in stable reservoirs for later laboratory analysis (DEA technique). Both the DEC and DEA modes of this sampler were tested against conventional eddy covariance (EC) for fluxes of either CO2 (DEC) or isoprene (DEA). Good agreement in both modes was observed relative to the EC systems. However, the uncertainty in a single DEA flux measurement was considerable (~40%) due to both the reduced statistical sampling and the analytical precision of the concentration difference measurements. We have also re-investigated the effects of nonzero mean vertical wind velocity on accumulation techniques as it relates to our DEA measurements. Despite the higher uncertainty, disjunct eddy sampling can provide an alternative technique to eddy covariance for determining ecosystem-level fluxes for species where fast sensors do not currently exist.

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Turnipseed, A. A., S. N. Pressley, T. Karl, et al. "The use of disjunct eddy sampling methods for the determination of ecosystem level fluxes of trace gases." Atmospheric Chemistry and Physics Discussions 8, no. 4 (2008): 13413–51. http://dx.doi.org/10.5194/acpd-8-13413-2008.

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Abstract. The concept of disjunct eddy sampling (DES) for use in measuring ecosystem-level micrometeorological fluxes is re-examined. The governing equations are discussed as well as other practical considerations and guidelines concerning this sampling method as it is applied to either the disjunct eddy covariance (DEC) or disjunct eddy accumulation (DEA) techniques. A disjunct eddy sampling system was constructed that could either be combined with relatively slow sensors (response time of 2 to 40 s) to measure fluxes using DEC, or could also be used to accumulate samples in stable reservoirs for later laboratory analysis (DEA technique). Both the DEC and DEA modes of this sampler were tested against conventional eddy covariance (EC) for fluxes of either CO2 (DEC) or isoprene (DEA). Good agreement in both modes was observed relative to the EC systems. However, the uncertainty in a single DEA flux measurement was considerable (~40%) due to both the reduced statistical sampling and the analytical precision of the concentration difference measurements. We have also re-investigated the effects of nonzero mean vertical wind velocity on accumulation techniques as it relates to our DEA measurements. Despite the higher uncertainty, disjunct eddy sampling can provide an alternative technique to eddy covariance for determining ecosystem-level fluxes for species where fast sensors do not currently exist.

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Titko, Jelena, Jelena Stankevičienė, and Nataļja Lāce. "MEASURING BANK EFFICIENCY: DEA APPLICATION." Technological and Economic Development of Economy 20, no. 4 (2014): 739–57. http://dx.doi.org/10.3846/20294913.2014.984255.

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The paper aims to improve the methodology of measuring efficiency of Latvian banks. Efficiency scores were calculated with application of non-parametric frontier technique Data Envelopment Analysis (DEA). Input-oriented DEA model under Variable Returns to Scale (VRS) assumption was used. Potential model variables were selected based on the intermediation and profitability approach. Fourteen alternative models with different inputs-outputs combinations were developed for the research purposes. To substantiate the variables selection for DEA model the received data was processed, using such methods, as correlation analysis, linear regression analysis, analysis of mean values, and two-samples Kolmogorov-Smirnov test. The research results assisted the authors in providing general recommendations about the variables selection for DEA application in the Latvian banking sector. The present research contributes to the existing analytical data on bank performance in Latvia. The empirical findings provide a background for further studies, in particular, the efficiency of Latvian banks could be analysed in the extended time period.

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Martinez, André Luís Machado, Emerson Vitor Castelani, Cristiane Aparecida Pendeza Martinez, Glaucia Maria Bressan, and Roberto Molina de Souza. "Multiple solutions to a third-order three-point nonhomogeneous boundary value problem aided by nonlinear programming methods." Differential Equations & Applications, no. 1 (2021): 35–49. http://dx.doi.org/10.7153/dea-2021-13-03.

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Winkler, Robert L., and Robert T. Clemen. "Multiple Experts vs. Multiple Methods: Combining Correlation Assessments." Decision Analysis 1, no. 3 (2004): 167–76. http://dx.doi.org/10.1287/deca.1030.0008.

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Sh., Avezimbetov, and Taylakov T.I. "Systematics Of Paramphistomatosis, Methods Of Diagnosis, Epizootology, Pathogenesis, Origin Of The Disease And New Methods Of Treatment." American Journal of Veterinary Sciences and Wildlife Discovery 2, no. 06 (2020): 1–6. http://dx.doi.org/10.37547/tajvswd/volume02issue06-01.

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This article describes paramphistomatosis of large and small horned domestic animals, its systematics, and methods of helminthocaprological examination, paramphistomatosis found in the large and retinal abdomen of dead and forcibly slaughtered animals, stages of ovulation in mollusks, pathogenesis, pathological and anatomical changes and treatment reported.

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Ćiraković, Lazar S., Nebojša J. Bojović, and Miloš S. Milenković. "A nonparametric efficiency analysis of bus subsystem in Belgrade city, using DEA methods." Tehnika 69, no. 6 (2014): 1032–39. http://dx.doi.org/10.5937/tehnika1406032c.

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Brzezicki, Łukasz, and Artur Prędki. "Efficiency measurement of public higher education institutions using DEA, SFA and StoNED methods." Wiadomości Statystyczne. The Polish Statistician 63, no. 5 (2018): 5–24. http://dx.doi.org/10.5604/01.3001.0014.0648.

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The article evaluates the efficiency of the didactic and scientific activity of 58 public academic institutions in 2014 using the DEA, SFA and StoNED (comparative analysis of the results). The result of the didactic activity was measured by the number of graduates, and scientific activity by the number of conferred academic degrees; in both cases of the number of academic staff, non-teaching staff, and the value of capital assets were assumed as an input. The research evaluated the ratio of production observed to the maximum for the number of graduates and conferred degrees. The results and interpretations were presented separately for particular types of higher education institutions, separately in terms of didactic and scientific spheres. Higher efficiency measures, regardless of the applied research method, were obtained in the field of didactic activity. The mean value of the didactic activity efficiency obtained by the DEA method was 0.7844, SFA 0.8756, and StoNED 0.8564, whereas in terms of scientific activity 0.6690, 0.7351 and 0.6190 respectively. The results indicate that universities are more focused on didactic activity, which is their main source of funding, adapting their resources to it. Less attention is paid to the scientific activity, which is the second fundamental sphere of these institutions’ functioning.

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Despić, Dejan, Nebojša Bojović, Milorad Kilibarda, and Marko Kapetanović. "Assessment of efficiency of military transport units using the DEA and SFA methods." Vojnotehnicki glasnik 67, no. 1 (2019): 68–92. http://dx.doi.org/10.5937/vojtehg67-18508.

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Wadud, Abdul, and Ben White. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods." Applied Economics 32, no. 13 (2000): 1665–73. http://dx.doi.org/10.1080/000368400421011.

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Tsou, Chi-Ming, and Deng-Yuan Huang. "On some methods for performance ranking and correspondence analysis in the DEA context." European Journal of Operational Research 203, no. 3 (2010): 771–83. http://dx.doi.org/10.1016/j.ejor.2009.09.010.

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Kumar, Anup, Kampan Mukherjee, and Amit Adlakha. "Dynamic performance assessment of a supply chain process." Business Process Management Journal 21, no. 4 (2015): 743–70. http://dx.doi.org/10.1108/bpmj-09-2014-0086.

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Purpose – A variety of tools are available to measure supply chain efficiency, but there are a few methods available for assessing efficiency in dynamic environments. The purpose of this paper is to illustrate the use of data envelopment analysis (DEA) with the help vector auto regression in measuring internal supply chain performance in dynamic environment. Design/methodology/approach – Two DEA models were developed – the static DEA that is traditional DEA methodology and the dynamic DEA. The models are further enhanced with scenario analysis to derive more meaningful business insights for managers in making benchmarking and resource planning decisions. Findings – The results demonstrate that lagged effects can lead to changes in efficiency scores, rankings, and efficiency classification. So, using static DEA models in dynamic environment can be potentially misleading. Using impulse response analysis it has been seen that shocks given to marketing strategy in MR affects more at each of the decision-making unit’s (DMU’s) compared to other variables, further the authors could also investigate the dependent variables (output) shocks to input variables. Social implications – Methodology can be applied to a wide range of evaluation problems in place of conventional DEA models. Results show that lagged effects can lead to substantial discrepancies in evaluation results. Biased evaluation results would easily lead to erroneous decision and policy making for the firm. Therefore the authors should always take a broader perspective in evaluating longitudinal performance by incorporating the effects into evaluation and decision-making processes. Future work of this study could look into the possibility of modeling in a stochastic supply chain environment. In addition, it will also be interesting to look into evaluating the stochastic DEA model in multiple time periods in order to examine whether there is any technological influence on the supply chain efficiency. Originality/value – The contribution of this study provides useful insights into the use of DDEA as a modeling tool to aid managerial decision making in assessing supply chain efficiency in dynamic environment.

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Wang, Qing, Keke Wei, Yang Zhang, and Xuan Wang. "Comprehensive Cross-Efficiency Methods with Common Weight Restrictions in Data Envelopment Analysis." Asia-Pacific Journal of Operational Research 37, no. 05 (2020): 2050019. http://dx.doi.org/10.1142/s0217595920500190.

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Considering both self-evaluation and peer evaluation, the traditional data envelopment analysis (DEA) cross-efficiency method has been widely used to evaluate efficiency scores. However, it has several defects such as excessive weight flexibility, unstable evaluation, and aggregation irrationality. This paper proposes a novel comprehensive DEA cross-efficiency method where two novel weight restriction methods are used to enhance the stability and feasibility of evaluation. Then, final efficiency scores were calculated through the geometric mean aggregation method. Finally, an empirical example is used to demonstrate that the proposed methods are more reasonable and scientific.

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Dubben, H. H. "New methods to deal with publication bias." BMJ 339, aug26 1 (2009): b3272. http://dx.doi.org/10.1136/bmj.b3272.

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