Relevant bibliographies by topics / Dynamic Data Envelopment Analysis / Journal articles
To see the other types of publications on this topic, follow the link: Dynamic Data Envelopment Analysis.

Journal articles on the topic 'Dynamic Data Envelopment Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Dynamic Data Envelopment Analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

SENGUPTA, JATI K. "Dynamic data envelopment analysis." International Journal of Systems Science 27, no. 3 (March 1996): 277–84. http://dx.doi.org/10.1080/00207729608929214.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kao, Chiang. "Dynamic data envelopment analysis: A relational analysis." European Journal of Operational Research 227, no. 2 (June 2013): 325–30. http://dx.doi.org/10.1016/j.ejor.2012.12.012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Amirteimoori, Alireza. "Data envelopment analysis in dynamic framework." Applied Mathematics and Computation 181, no. 1 (October 2006): 21–28. http://dx.doi.org/10.1016/j.amc.2006.01.003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Ling, and Fengshan Wang. "Hybrid Dynamic Network Data Envelopment Analysis." Discrete Dynamics in Nature and Society 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/989581.

Full text
Abstract:
Conventional DEA models make no hypothesis concerning the internal operations in a static situation. To open the “black box” and work with dynamic assessment issues synchronously, we put forward a hybrid model for evaluating the relative efficiencies of a set of DMUs over an observed time period with a composite of network DEA and dynamic DEA. We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. The hybrid dynamic network DEA model proposed in this paper enables us to (i) pry into the internal operations of DEA by another network structure, (ii) obtain dynamic change of period efficiency, and (iii) gain the overall dynamic efficiency of DMUs over the entire observed periods. We finally illustrate the calculation procedure of the proposed approach by a numerical example.
APA, Harvard, Vancouver, ISO, and other styles
5

Sengupta, Jati K. "A dynamic efficiency model using data envelopment analysis." International Journal of Production Economics 62, no. 3 (September 1999): 209–18. http://dx.doi.org/10.1016/s0925-5273(98)00244-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Jafarian-Moghaddam, Ahmad Reza, and Keivan Ghoseiri. "Fuzzy dynamic multi-objective Data Envelopment Analysis model." Expert Systems with Applications 38, no. 1 (January 2011): 850–55. http://dx.doi.org/10.1016/j.eswa.2010.07.045.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ito, Tsutomu, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Makoto Sakamoto, and Satoshi Ikeda. "Measuring Efficiency using Dynamic Network-Based Data Envelopment Analysis." Journal of Robotics, Networking and Artificial Life 4, no. 3 (2017): 254. http://dx.doi.org/10.2991/jrnal.2017.4.3.16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Afzalinejad, Mohammad, and Zahra Abbasi. "A slacks-based model for dynamic data envelopment analysis." Journal of Industrial & Management Optimization 15, no. 1 (2019): 275–91. http://dx.doi.org/10.3934/jimo.2018043.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhang, Linyan. "Dynamic network data envelopment analysis based upon technology changes." INFOR: Information Systems and Operational Research 57, no. 2 (November 3, 2017): 242–59. http://dx.doi.org/10.1080/03155986.2017.1393730.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Palečková, Iveta. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 6 (2015): 2085–91. http://dx.doi.org/10.11118/201563062085.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Palečková, Iveta. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 6 (2015): 2085–91. http://dx.doi.org/10.11118/actaun201563062085.

Full text
Abstract:
The aim of the paper is to examine the efficiency of the banking sectors in Visegrad countries during the period 2009–2013. The group of Visegrad countries includes the Czech Republic, Hungary, Poland and Slovakia. We apply Dynamic Data Envelopment Analysis (DEA) to data on commercial banks in the group of Viserad countries. Next, we calculated average efficiency of the groups of banks according the total assets. Average efficiency was slightly decreased during the period 2010–2011 and significantly decreased in 2012 which was probably as a result of financial crisis. In 2013 average efficiency increased. The Czech and Hungarian banking sector was the highest efficient. Considering the group of banks according total assets, the group of small banks was the most efficient in CCR model and the group of medium-sized banks was the most efficient in BCC model.
APA, Harvard, Vancouver, ISO, and other styles
12

Emrouznejad, Ali, and Emmanuel Thanassoulis. "A mathematical model for dynamic efficiency using data envelopment analysis." Applied Mathematics and Computation 160, no. 2 (January 2005): 363–78. http://dx.doi.org/10.1016/j.amc.2003.09.026.

Full text
APA, Harvard, Vancouver, ISO, and other styles
13

Erdem Demirtaş, Yonca, and Neslihan Fidan Keçeci. "The efficiency of private pension companies using dynamic data envelopment analysis." Quantitative Finance and Economics 4, no. 2 (2020): 204–19. http://dx.doi.org/10.3934/qfe.2020009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Yousefi, Saeed, Hadi Shabanpour, Ron Fisher, and Reza Farzipoor Saen. "Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis." Measurement 83 (April 2016): 72–85. http://dx.doi.org/10.1016/j.measurement.2016.01.032.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Kuo, Kuo‐Cheng, Wen‐Min Lu, and Thanh Nhan Dinh. "Firm performance and ownership structure: Dynamic network data envelopment analysis approach." Managerial and Decision Economics 41, no. 4 (January 3, 2020): 608–23. http://dx.doi.org/10.1002/mde.3124.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Aparicio, Juan, and Magdalena Kapelko. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis." European Journal of Operational Research 278, no. 2 (October 2019): 463–71. http://dx.doi.org/10.1016/j.ejor.2018.08.045.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Tong, Lee-Ing, Chung-Ho Wang, and Chih-Wei Tsai. "Robust design for multiple dynamic quality characteristics using data envelopment analysis." Quality and Reliability Engineering International 24, no. 5 (August 2008): 557–71. http://dx.doi.org/10.1002/qre.921.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

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 (March 31, 2021): 94. http://dx.doi.org/10.30630/joiv.5.1.405.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
19

Yen, Barbara T. H., and Yu-Chiun Chiou. "Dynamic fuzzy data envelopment analysis models: case of bus transport performance assessment." RAIRO - Operations Research 53, no. 3 (July 2019): 991–1005. http://dx.doi.org/10.1051/ro/2017064.

Full text
Abstract:
In the transport field, two characteristics–inter-temporal dependency and fuzziness–need to be considered when assessing transport performance. First, input and output levels are inter-temporal dependent due to heavy capital investment and because quasi-fixed input can influence output levels over multiple periods. Second, conventional Data Envelopment Analysis (DEA) models are, in nature, formulated with quantitative variables. However, qualitative measurements that are characterized with “vagueness” or “fuzziness” are as important as quantitative variables for multi-period transport performance assessment. To rectify these problems, the present study extends previous research by proposing a Dynamic Fuzzy Data Envelopment Analysis (DFDEA) method for assessing the comparative efficiency where inter-temporal dependence exists in operating production processes with some “fuzzy” variables. An case study was conducted to evaluate the performance of city bus transport companies in Taipei, Taiwan. Results showed the superiority of the proposed DFDEA model by comparing the results with static models.
APA, Harvard, Vancouver, ISO, and other styles
20

Färe, Rolf, Hirofumi Fukuyama, and William L. Weber. "A Mergers and Acquisitions Index in Data Envelopment Analysis." International Journal of Information Systems and Social Change 1, no. 2 (April 2010): 1–18. http://dx.doi.org/10.4018/jissc.2010040101.

Full text
Abstract:
In this paper, a dynamic network DEA model is developed to evaluate the potential gains in final output from a merger of two firms. The two firms are allowed to have different production technologies or share a common technology. In a beginning period each firm uses period specific inputs to produce a final output and an intermediate output that becomes an input in the production of final outputs in a subsequent period. Firms that merge can use the intermediate input of one firm to produce final output for the other firm, leading to gains in final output for the two merged firms over what the firms could have produced individually. The method is applied to study Japanese cooperative Shinkin banks during 2003 to 2007. Mergers between banks in Nagasaki, Kagoshima, and Miyazaki prefectures tend to have the highest potential gains, while mergers between banks within Fukuoka prefecture and other prefectures and within Saga prefecture tend to have the smallest potential gains.
APA, Harvard, Vancouver, ISO, and other styles
21

Bansal, Pooja, and Aparna Mehra. "Directional Distance Function Based Super Efficiency Integer Dynamic Data Envelopment Analysis Model." Data Envelopment Analysis Journal 4, no. 2 (December 12, 2019): 149–86. http://dx.doi.org/10.1561/103.00000025.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Nikfarjam, Hava, Mohsen Rostamy-Malkhalifeh, and Abbasali Noura. "A New Robust Dynamic Data Envelopment Analysis Approach for Sustainable Supplier Evaluation." Advances in Operations Research 2018 (December 9, 2018): 1–20. http://dx.doi.org/10.1155/2018/7625025.

Full text
Abstract:
Supplier selection is one of the intricate decisions of managers in modern business era. There are different methods and techniques for supplier selection. Data envelopment analysis (DEA) is a popular decision-making method that can be used for this purpose. In this paper, a new dynamic DEA approach is proposed which is capable of evaluating the suppliers in consecutive periods based on their inputs, outputs, and the relationships between the periods classified as desirable relationships, undesirable relationships, and free relationships with positive and negative natures. To this aim various social, economic, and environmental criteria are taken into account. A new method for constructing an ideal decision-making unit (DMU) is proposed in this paper which differs from the existing ones in the literature according to its capability of considering periods with unit efficiencies which do not necessarily belong to a unique DMU. Furthermore, the new ideal DMU has the required ability to rank the suppliers with the same efficiency ratio. In the concerned problem, the supplier that has unit efficiency in each period is selected to construct an ideal supplier. Since it is possible to have more than one supplier with unit efficiency in each period, the ideal supplier can be made with different scenarios with a given probability. To deal with such uncertain condition, a new robust dynamic DEA model is elaborated based on a scenario-based robust optimization approach. Computational results indicate that the proposed robust optimization approach can evaluate and rank the suppliers with unit efficiencies which could not be ranked previously. Furthermore, the proposed ideal DMU can be appropriately used as a benchmark for other DMUs to adjust the probable improvement plans.
APA, Harvard, Vancouver, ISO, and other styles
23

Ratner, S. V. "Dynamic Models of Environmental Data Envelopment Analysis with Stock and Flow Variables." Automation and Remote Control 81, no. 7 (July 2020): 1330–44. http://dx.doi.org/10.1134/s0005117920070139.

Full text
APA, Harvard, Vancouver, ISO, and other styles
24

Hunjet, Dubravko, Luka Neralić, and Richard E. Wendell. "Evaluation of the dynamic efficiency of Croatian towns using Data Envelopment Analysis." Central European Journal of Operations Research 23, no. 3 (December 14, 2014): 675–86. http://dx.doi.org/10.1007/s10100-014-0363-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Kumar, Anup, and Rajiv R. Thakur. "Objectivity in performance ranking of higher education institutions using dynamic data envelopment analysis." International Journal of Productivity and Performance Management 68, no. 4 (April 8, 2019): 774–96. http://dx.doi.org/10.1108/ijppm-03-2018-0089.

Full text
Abstract:
PurposeThere has been a persistent debate on measures of efficiency and ranking procedures of higher education institutions (HEIs). Deriving absolute efficiency measures and their ranking provide a critical input for the society to choose the appropriate educational institute. The purpose of this paper is to evaluate the relative performance of institutions in management education in different locations in India and propose a holistic efficiency measurement which can be applied to HEIs in general.Design/methodology/approachThis study uses dynamic data envelopment analysis (DDEA) as the primary methodology of analysis. Multiple measures of inputs and output have been defined to assess efficiency in institutions of management education. Some of the output variables used for measuring relative effectiveness are: the number of students placed, number of entrepreneurs, median CTC of placed students, total number of students passed, number of research publications, number of students and faculty who have participated in international exchange, input variables used, student intake, faculty profile, resource allocation on the development of student, faculty and staff, industry linkages, alumni network. The institutions under study are in three different locations in India, having distinct characteristics. The multiple measures of inputs and outputs defined have been used to measure efficiency, following which DDEA was used to rank the efficiency measures.FindingsVarious agencies use their framework to evaluate and rank HEIs; however, they are either subjective or less researched methodologies. The proposed method acts as a new researched and objective methodology for ranking of HEIs operating across regions with different societal, economic and political contexts. Efficiency in education is of high relevance today for various stakeholders such as students, parents, industry, policy-makers and government. An objective, such as the one proposed in this paper, would be helpful in satisfying the needs of various stakeholders. Furthermore, the government has policies of allocating funds, in case of public-funded institutions, based on efficiency levels in HEIs. The measure using DDEA suggested in this study provides a better measurement of efficiency.Research limitations/implicationsThis research is based on the extension of DDEA with slight modification to the denominator portion of efficiency calculation. The modification is accentuated by taking an industry benchmark or government benchmark. This may lead to slight difficulty in the appropriation of input parameters. Hence, selection of appropriate input and output parameters is the key limitation. To demonstrate capabilities of the proposed approach, this framework is implemented for performance evaluation of institutions of higher education in India. Some helpful policy-making and managerial insights are derived from the numerical results.Originality/valueThe uniqueness of this research is that it adds a well-researched methodology based on DDEA to measure efficiency and rank HEIs for effective assessment and benchmarking. The frameworks used so far have been either subjective or less researched methodologies.
APA, Harvard, Vancouver, ISO, and other styles
26

Yu, Ming-Miin, Chung-I. Lin, Kuan-Chen Chen, and Li-Hsueh Chen. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach." Omega 98 (January 2021): 102145. http://dx.doi.org/10.1016/j.omega.2019.102145.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Martín-Gamboa, Mario, and Diego Iribarren. "Dynamic Ecocentric Assessment Combining Emergy and Data Envelopment Analysis: Application to Wind Farms." Resources 5, no. 1 (January 29, 2016): 8. http://dx.doi.org/10.3390/resources5010008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Mariz, Fernanda B. A. R., Mariana R. Almeida, and Daniel Aloise. "A review of Dynamic Data Envelopment Analysis: state of the art and applications." International Transactions in Operational Research 25, no. 2 (November 2017): 469–505. http://dx.doi.org/10.1111/itor.12468.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Lu, Ching-Cheng, and Liang-Chun Lu. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis." Energy & Environment 30, no. 1 (July 26, 2018): 27–43. http://dx.doi.org/10.1177/0958305x18787257.

Full text
Abstract:
This study uses the dynamic data envelopment analysis model to evaluate the intertemporal efficiency and the executive efficiency based on fossil fuel CO2 emissions in European Union countries. European Union countries in pursuit of economic growth, taking into account the growth of gross domestic product may result in increased CO2 emissions, countries in order to reduce CO2 emissions to meet the target of the UN climate change conference in Paris 2015, in pursuit of gross domestic product growth and CO2 emission reduction targets. Whether the reduction of CO2 emissions will affect the overall efficiency of the country’s economic growth or not will make gross domestic product a major consideration in carryover variables in this study. This paper analyzes data of 28 selected European countries dating from 2009 to 2013 to study the effects of the undesirable output to the energy efficiency ranking. The variables in the model are the input variables: labor force, real capital stock, and energy consumption and the output variable is the undesirable output of fossil fuel CO2 emissions. In the model, the carryover intermediate activity is real gross domestic product. After the Paris Protocol formally replaced the Kyoto Protocol in 2015, the emphasis of this study is on the future state’s pursuit of economic growth, the gross domestic product as a variable in terms of intertemporal efficiency and using CO2 as a variable of undesirable output to analyze the relationship between national economic development and the greenhouse gas emissions for getting a policy indicator of the environmental protection and economic development.
APA, Harvard, Vancouver, ISO, and other styles
30

Jafarian-Moghaddam, Ahmad Reza, and Keivan Ghoseiri. "Multi-objective data envelopment analysis model in fuzzy dynamic environment with missing values." International Journal of Advanced Manufacturing Technology 61, no. 5-8 (November 22, 2011): 771–85. http://dx.doi.org/10.1007/s00170-011-3730-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Yılmaz, Melike, Çağlar Aksezer, and Tankut Atan. "Dynamic frontier estimation for monitoring team performances." Team Performance Management: An International Journal 25, no. 3/4 (June 10, 2019): 212–28. http://dx.doi.org/10.1108/tpm-11-2017-0076.

Full text
Abstract:
Purpose This paper aims to investigate how predictions of football league standings and efficiency measures of teams, obtained through frontier estimation technique, evolve compared to actual results. Design/methodology/approach The study is based on data from the Turkish first division football league. Historical data for five seasons, from 2011 to 2016, are used to compare weekly estimates to de facto results. Data envelopment analysis efficiency measures are used to estimate team performances. After each week, a data envelopment analysis is run using available data until then, and final team standings are estimated via computed efficiencies. Estimations are improved by using a data envelopment analysis model that incorporates expert knowledge about football. Findings Results indicate that deductions can be made about the league’s future progress. Model incorporating expert knowledge tends to estimate the performance better. Although the prediction accuracy starts out low in early stages, it improves as the season advances. Scatter of individual teams’ performances show fluxional behaviour, which attracts studying the impact of uncontrollable factors such as refereeing. Originality/value While all previous studies focus on season performance, this study handles the problem as a combination of weekly performance and how it converges to reality. By tracking weekly performance, managers get a chance to confront their weak performance indicators and achieve higher ranking by improving on these inefficiencies.
APA, Harvard, Vancouver, ISO, and other styles
32

Green, Rodney, and J. K. Sengupta. "Dynamics of Data Envelopment Analysis: Theory of Systems Efficiency." Journal of the Operational Research Society 47, no. 11 (November 1996): 1421. http://dx.doi.org/10.2307/3010209.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Green, Rodney. "Dynamics of Data Envelopment Analysis: Theory of Systems Efficiency." Journal of the Operational Research Society 47, no. 11 (November 1996): 1421. http://dx.doi.org/10.1057/jors.1996.179.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Khushalani, Jaya, and Yasar A. Ozcan. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)." Socio-Economic Planning Sciences 60 (December 2017): 15–23. http://dx.doi.org/10.1016/j.seps.2017.01.009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Tavana, Madjid, Mohammad Izadikhah, Debora Di Caprio, and Reza Farzipoor Saen. "A new dynamic range directional measure for two-stage data envelopment analysis models with negative data." Computers & Industrial Engineering 115 (January 2018): 427–48. http://dx.doi.org/10.1016/j.cie.2017.11.024.

Full text
APA, Harvard, Vancouver, ISO, and other styles
36

Seyedboveir, Soheila, Sohrab Kordrostami, Behrouz Daneshian, and Alireza Amirteimoori. "Cost Efficiency Measurement in Data Envelopment Analysis with Dynamic Network Structures: A Relational Model." Asia-Pacific Journal of Operational Research 34, no. 05 (October 2017): 1750023. http://dx.doi.org/10.1142/s0217595917500233.

Full text
Abstract:
The “Dynamic-network” version of cost efficiency measurement in Data Envelopment Analysis (DEA) is proposed in this paper. The classical DEA models ignore operations of individual processes within a system; moreover, they compute efficiency at the same time. Therefore, we suggest a relational model to estimate cost efficiency in static network structures. Also, we incorporate the dynamic effect in network structures. The proposed models here evaluate the overall efficiency over the whole periods and indicate it as a weighted average of period efficiencies. The main advantage revealed in this study is recognition of: which divisions at what periods caused the inefficiency of the system, the internal activities of the system over time, considered; moreover, the results obtained here is applicable in, improving the performance of the system. A case study of Iranian banking industry is used to show the applicability of the approach.
APA, Harvard, Vancouver, ISO, and other styles
37

Lobo, Maria Stella de Castro, and Edson Correia Araujo. "Efficiency Analysis of Public Health Spending in Brazilian Capitals Using Network Data Envelopment Analysis (DEA)." Central European Review of Economics and Management 1, no. 4 (December 29, 2017): 147. http://dx.doi.org/10.29015/cerem.538.

Full text
Abstract:
Aim:In 1988, Brazil implemented profound changes in the organization and financing of its public health system, with the creation of the Unified Health System (Sistema Unico de Saúde – SUS), establishing universal health coverage. The gradual expansion of the health system and entitlements to services has been accompanied by the debate about the appropriate level of government spending and health system efficiency. Design / Research methods: The study uses VRS - output oriented, Dynamic Network SBM DEA model, period 2008-2013, to depict the relationships that take place between diverse levels of care (primary health care/PHC and secondary-tertiary health care/STC). DMUs are Brazilian state capitals, which implement key health policies and assist patients from smaller surrounding municipalities, especially for STC. Inputs are PHC and STC budgets; outputs are their respective services provided and avoidable deaths. The link variable is PHC medical consultation, entrance door to the system and gatekeeper for more complex levels of care. Dynamic model evaluates efficiency across time. Conclusions / findings:Overall performance was 0.86; for PHC, 0.90; for STC, 0.85 (SD=0.15). 8 out of 27 capitals were fully efficient. Capitals increased average scores in both levels of care, but only STC had a positive technological change (frontier shift >1). Link variable behavior denotes a bottleneck between levels of care. Projections onto the frontier enable establish own management diagnosis and goals for financing and development. Originality / value of the article: Network models mimic hierarchically organized health systems. The appliance of results aids health policy.
APA, Harvard, Vancouver, ISO, and other styles
38

Zhang, Tao, Yung-ho Chiu, Ying Li, and Tai-Yu Lin. "Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis." International Journal of Environmental Research and Public Health 15, no. 9 (September 18, 2018): 2046. http://dx.doi.org/10.3390/ijerph15092046.

Full text
Abstract:
Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, health, and economic development in in an integrated analysis. This paper used a Dynamic Network SBM Model to evaluate production and health efficiencies in Chinese cities and found that the production efficiency scores were slightly higher than the health efficiency scores, with the two-stage efficiency scores in most cities having significant fluctuations. Labor, fixed assets, energy, GDP, and lung disease and mortality reduction efficiencies in the first stage were generally high; however, the medical input efficiencies in the second stage were low, indicating that there was there significant room for improvement in many cities.
APA, Harvard, Vancouver, ISO, and other styles
39

Zhou, Xiaoyang, Linzi Li, Haoyu Wen, Xin Tian, Shouyang Wang, and Benjamin Lev. "Supplier’s goal setting considering sustainability: An uncertain dynamic Data Envelopment Analysis based benchmarking model." Information Sciences 545 (February 2021): 44–64. http://dx.doi.org/10.1016/j.ins.2020.07.074.

Full text
APA, Harvard, Vancouver, ISO, and other styles
40

Wang, Luda, and Peng Zhang. "Dynamic QoS evaluation for Web Services Using Data Envelopment Analysis on Real-time Status." International Journal of Database Theory and Application 10, no. 5 (May 31, 2017): 59–68. http://dx.doi.org/10.14257/ijdta.2017.10.5.06.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Tavana, Madjid, Hadi Shabanpour, Saeed Yousefi, and Reza Farzipoor Saen. "A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation." Neural Computing and Applications 28, no. 12 (March 17, 2016): 3683–96. http://dx.doi.org/10.1007/s00521-016-2274-z.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Shabanpour, Hadi, Saeed Yousefi, and Reza Farzipoor Saen. "Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks." Journal of Cleaner Production 142 (January 2017): 1098–107. http://dx.doi.org/10.1016/j.jclepro.2016.08.147.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

Al-Refaie, Abbas, Wafa’a Al-Alaween, Ali Diabat, and Ming-Hsien Li. "Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis." Journal of Intelligent Manufacturing 28, no. 2 (November 7, 2014): 387–403. http://dx.doi.org/10.1007/s10845-014-0986-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Foladi, Samira, Maghsud Solimanpur, and Mustafa Jahangoshai Rezaee. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs." Social Indicators Research 148, no. 1 (October 10, 2019): 323–47. http://dx.doi.org/10.1007/s11205-019-02196-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Correia dos Santos, João, and Miguel Mira da Silva. "Measuring and Evaluating Efficiency on IT Outsourcing operations through Data Envelopment Analysis." International Journal of Enterprise Information Systems 12, no. 1 (January 2016): 1–20. http://dx.doi.org/10.4018/ijeis.2016010101.

Full text
Abstract:
Information Technology (IT) outsourcing is a set of IT services that require providers to manage a long relationship with multiple services that have a high degree of variance between clients. IT outsourcing operational contexts display multi-input and multi-output variables, so managers need guidance on developing suitable approaches in order to identify the set of variables to analyse. This work proposes a model based on Data Envelopment Analysis (DEA), which is a linear programming technique able to manipulate multiple inputs and outputs. DEA allows the identification of the most efficient operation, which in turn enables providers to set the best operational strategy to follow. The results demonstrate the importance of quantitative measures in a dynamic business environment like IT outsourcing. To develop the authors' research, design science research was applied, and eighteen IT outsourcing contracts were used to demonstrate their model's utility. This work is a major contribution for measuring efficiency in IT outsourcing operations.
APA, Harvard, Vancouver, ISO, and other styles
46

Tayal, Akash, Utku Kose, Arun Solanki, Anand Nayyar, and José Antonio Marmolejo Saucedo. "Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning." Computational Intelligence 36, no. 1 (November 7, 2019): 172–202. http://dx.doi.org/10.1111/coin.12251.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Meng, Sun, Wei Zhou, Jin Chen, and Cheng Zhang. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis." Energy & Environment 29, no. 2 (December 19, 2017): 260–80. http://dx.doi.org/10.1177/0958305x17745687.

Full text
Abstract:
Based on the total factor productivity and the resource efficiency, this paper proposes a synthesized data envelopment analysis (DEA) model by using the DEA approach and the Malmquist index. Furthermore, this model is applied to a comprehensive empirical study of the resource efficiency evaluation in China from 2013 to 2015. By introducing some desirable and undesirable factors, we calculate and analyze the whole resource efficiency, the input redundancy ratio, and the output inefficiency ratio of China from 2013 to 2015 based on the synthesized DEA model. Then, we analyze the dynamic trends of the resource efficiency in 31 provinces of China during these three years by applying the corresponding Malmquist index. After that, some interesting conclusions are derived, which are useful for the government. At last, some practical suggestions about improving the resource efficiency of these provinces are provided.
APA, Harvard, Vancouver, ISO, and other styles
48

Alizadeh, Reza, Ramin Gharizadeh Beiragh, Leili Soltanisehat, Elham Soltanzadeh, and Peter D. Lund. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach." Energy Economics 91 (September 2020): 104894. http://dx.doi.org/10.1016/j.eneco.2020.104894.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Lin, Ruiyue, and Qian Liu. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds." European Journal of Operational Research 293, no. 3 (September 2021): 1043–57. http://dx.doi.org/10.1016/j.ejor.2021.01.005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Shahin, Arash, Angappa Gunasekaran, Azam Khalili, and Hadi Shirouyehzad. "A new approach for estimating leagile decoupling point using data envelopment analysis." Assembly Automation 36, no. 3 (August 1, 2016): 233–45. http://dx.doi.org/10.1108/aa-07-2015-063.

Full text
Abstract:
Purpose This paper aims to propose a new approach for determining a decoupling point in leagile chain, based on Lean and agile criteria regarding market and customer demands and internal capabilities of the chain with the ultimate goal of fulfilling customer needs and increasing chain profit. Design/methodology/approach In the new approach, Lean and agile criteria have been defined for assessing the effectiveness and efficiency of supply chain. The efficiency and effectiveness ratios have been calculated for Lean and agile processes using input- and output-oriented Banker, Charnes and Cooper (BCC) methods, respectively. Based on the results, inefficient and ineffective units have been addressed and the decoupling point has been determined. Findings Findings indicate that the decoupling point can be regarded as a borderline between two strategies of Lean and agile production, and fuzzy decoupling point and lean–agile distance can provide the basis for distinguishing the two strategies. Practical implications Determining the decoupling point has an important role in dynamic performance of a supply chain. By the proposed approach, managers can estimate the most probable area for the decoupling point. Moreover, by appropriate determination of decoupling point, an organization can increase its public responsibility by appropriate usage of its resources and responding faster to customers’ requirements. Originality/value In this study, in addition to determining a decoupling point in a supply chain with the aim of increasing productivity, the subject of leagile strategy of supply chains has been developed.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Dynamic Data Envelopment Analysis' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography