Application of Multi-Criteria Decision Model to Develop an Optimized Geometric Characteristic in Electrochemical Discharge Machining

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: 49(8), P. 11341 - 11365

Published: Jan. 30, 2024

Language: Английский

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CO2 Emission Efficiency Measurement: Green Logistics Perspective

Verimlilik dergisi, Journal Year: 2025, Volume and Issue: PRODUCTIVITY FOR LOGISTICS, P. 139 - 148

Published: Feb. 3, 2025

Purpose: This study aims to measure the carbon emission activities of Turkey, Azerbaijan, Kazakhstan, Kyrgyzstan and Uzbekistan evaluate them from a green logistics perspective. Method: Within scope research, efficiency analyses were conducted using output-oriented Data Envelopment Analysis (DEA) constant returns scale (CRS) model super CRS DEA model. The input output variables used in research obtained World Bank website. Findings: In scores relevant countries determined. It was determined that generally above 50%. ranking efficient decision-making units among themselves carried out with Some potential improvement suggestions presented for not efficient. Originality: order leave livable world future generations, energy production should be supported Carbon Dioxide (CO2) emissions kept under control. Therefore, assessment countries' CO2 is vital importance. has an original feature because Turkish Republics can provide guidance those who will conduct on this subject country leaders.

Language: Английский

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Predicting the role of socio-economic indices for the Human Development Index based on a multivariate regression model

Deleted Journal, Journal Year: 2025, Volume and Issue: 22(1)

Published: April 24, 2025

Language: Английский

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An integrated multi-criteria approach to formulate and assess healthcare referral system strategies in developing countries

Healthcare Analytics, Journal Year: 2024, Volume and Issue: 5, P. 100315 - 100315

Published: March 7, 2024

This study aims to identify challenges in implementing a quality healthcare referral system developing countries and explore the strategies overcome these challenges. Data for this were collected through consultations with experts field. We introduce novel hybrid method called Criteria Importance Assessment (CIMAS) Alternative Ranking Order Method Accounting Two-Step Normalization (AROMAN). CIMAS determines relative importance of criteria, AROMAN is employed rank strategies. The primary identified include inadequate infrastructure facilities deficient health information systems. most appropriate strategy involves focusing on improving facilities. also carry out comprehensive sensitivity comparative analyses validate applicability proposed model. identifies elucidates establishing high-quality substantially contributes existing body knowledge by effectively delineating prioritizing tackle

Language: Английский

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Corporate governance for sustainable development in Vietnam: Criteria for SOEs based on MCDM approach

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0302306 - e0302306

Published: May 1, 2024

This research explores the nexus between corporate governance and sustainable development, focusing on State-Owned Enterprises (SOEs) in Vietnam. Recognizing pivotal role of SOEs national economy, this study employs a Multi-Criteria Decision-Making approach (MCDM) to assess enhance frameworks these entities. First, Data Envelopment Analysis (DEA) model is employed identify most qualified prospective firms based several quantitative criteria. Then, spherical fuzzy analytic hierarchy process (SF-AHP) used priority weights for given set qualitative criteria, Evaluation distance from average solution (EDAS) implemented rank enterprises sector. To validate proposed models, case conducted within Vietnamese electric power industry utilized. The MCDM methodology integrates diverse factors such as business management, social responsibility, shareholder construct comprehensive evaluation framework. By applying approach, aims key drivers barriers influencing practices SOEs. study's findings illustrate efficacy suggested evaluating performance, providing valuable insights policymakers, leaders, stakeholders involved shaping landscape aligning with development principles, contribute ongoing discourse responsible practices, offering practical recommendations performance resilience pursuit long-term socio-economic environmental sustainability.

Language: Английский

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Efficiency evaluation of 28 health systems by MCDA and DEA

Health Economics Review, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 29, 2024

Abstract Background Policymakers, who are constantly discussing growing health expenditures, should know whether the system is efficient. We can provide them with such information through international efficiency evaluations. The main objectives of this study are: (a) to evaluate systems in 28 developed countries by multiple-criteria decision analysis (MCDA) and data envelopment (DEA) (b) identify reasonable benchmark for Czech Republic, which we collect on relative importance inputs outputs. Methods used MCDA DEA countries. models included four (health expenditure as a share GDP, number physicians, nurses, hospital beds) three outputs (life expectancy at birth, healthy life expectancy, infant mortality rate). sample covers 27 OECD Russia, also database. To determine input output weights, questionnaire sent policy experts Republic. Results obtained subjective from experts. evaluated using two models. According models, Turkey, Poland, Israel were found have efficient systems. Republic ranked 16th, 19th, 15th, 17th. Republic’s Israel, Estonia, Luxembourg, Italy, UK, Spain, Slovenia, Canada. model constant returns scale identified technically systems: Canada, Sweden. was be one worst-performing variable 15 that results quite robust. With exceptions, Spearman rank correlations between each pair statistically significant 0.05 level. Conclusions During formulation, investigated pitfalls measurement care several practical solutions. consider DEA, above all, exploratory methods, not methods providing definitive answers.

Language: Английский

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Matrix-based network data envelopment analysis: A common set of weights approach

Socio-Economic Planning Sciences, Journal Year: 2024, Volume and Issue: 95, P. 102044 - 102044

Published: Aug. 29, 2024

Language: Английский

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EFFICIENCY MEASUREMENT IN CONSTRUCTION SECTOR USING DATA ENVELOPMENT ANALYSIS METHOD

Dumlupınar Üniversitesi İİBF Dergisi, Journal Year: 2024, Volume and Issue: 13, P. 44 - 50

Published: June 30, 2024

In addition to physiological needs such as hunger and thirst, people also have shelter needs. As a result of natural disasters fire, flood, earthquake, epidemics wars, settle in different regions. The world's increasing population, show how priority vital the construction industry is. earthquake disaster Turkey migration due wars border regions once again reveal important sector is for Turkey. many other sectors, labor financial resources must be used efficiently industry. Measuring efficiency companies operating very current situation This study aims evaluate ten on Fortune 500 list field contracting Data Envelopment Analysis (DEA) method generally widely measurement. study, input-oriented CCR model Super Efficiency (SE)-CCR were analysis. For DEA analysis, "total assets" "number employees" input variables, "net sales" output variables. According analysis results, three considered decision-making units (DMU) efficient. Efficient are ranked among themselves according results SE model.

Language: Английский

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Health Efficiency Measurement of Turkish Provinces Using DEA, TOPSIS and EDAS Methods

Lecture notes in operations research, Journal Year: 2024, Volume and Issue: unknown, P. 187 - 203

Published: Jan. 1, 2024

Language: Английский

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EFFICIENCY MEASUREMENT IN THE ARTIFICIAL INTELLIGENCE SECTOR: THE CASE OF TÜRKİYE

Denetişim, Journal Year: 2024, Volume and Issue: 32, P. 1 - 9

Published: Oct. 14, 2024

The use of technology is increasing due to Industry 4.0. Both countries and organizations have had invest in the field artificial intelligence (AI) compete with their rivals global competitive conditions adapt ever-changing world. An organization or a country needs evaluate its performance ensure sustainability constantly. Data Envelopment Analysis (DEA) method widely used evaluation. This study aimed Türkiye AI for nine years between 2014 2022. In research, were included analysis as decision-making unit. Two input two output variables analyses. was carried out by using input-oriented CCR DEA model super-efficiency model. According results analysis, efficient/inefficient units determined. Several potential improvement suggestions been put forward inefficient units.

Language: Английский

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