Measuring Quality of Life Using DEA-AR: Focusing on Undesirable Factors

Hwang, Shiuh-Nan; Lee, Hsuan-Shih; Tang, Szu-Chia; Hsu, Shiuh-Sheng

doi:10.3138/infor.51.2.84

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The CRITIC weighting method is an objective weight assignment method proposed by Diakoulaki [37]. It utilizes the variability and conflict of evaluation metrics to comprehensively measure the objective weight of metrics [38].…”

Section: Number Of Lobesmentioning

confidence: 99%

Optimization of exhaust ejector with lobed nozzle for marine gas turbine

Shi,

Wang,

Xiao

et al. 2024

Brodogradnja

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To attain high-performance ejector configurations, an ejection characteristic testing system was established initially to validate the reliability of the Realizable k-ε turbulent model. Subsequently, optimization investigations were conducted on lobed nozzle ejectors with various structural parameters. The effects of four key structural parameters, including lobed nozzle expansion angle α, lobed nozzle width d, number of lobes in the nozzle n, and height of the square-to-circle section h, were systematically studied. Furthermore, the CRITIC method was employed for multi-objective evaluation to identify the optimal design configuration for the casing ejector. The research findings revealed that among the structural parameters, the lobed nozzle expansion angle α exerted the greatest influence on the ejection coefficient and pressure loss coefficient. The weights of the evaluation criteria were determined by the CRITIC method as follows: ejection coefficient (49.38%) < pressure loss coefficient (50.62%). The optimal design configuration determined by the CRITIC method included α = 45°, d = 150 mm, n = 14, and h = 600 mm. The resulting enclosure design ensures smooth airflow within the system, preventing the backflow of high-temperature mainstream fluid and heating the enclosure. It also maintains a temperature distribution in the typical cross-section that meets specified requirements. Additionally, it facilitates improved mixing of mainstream and secondary fluid and reduces exhaust gas temperature.

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Section: Number Of Lobesmentioning

confidence: 99%

Optimization of exhaust ejector with lobed nozzle for marine gas turbine

Shi,

Wang,

Xiao

et al. 2024

Brodogradnja

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“…In the conclusion of the study, the results of the unrestricted DEA model and the results of the weight-restricted model were compared. Hwang et al (2013) measured the quality of life in 20 cities in Taiwan with a weight-restricted DEA (Assurance region model). Gonzalez et al (2016) measured the quality of life (health, material living conditions, education, economic and physical security, environment, social interaction, management mentalit y, and personal activities) of 393 largest municipalities in Spain with weight-restricted DEA.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Economic Efficiencies of OECD Countries in 2019 By Weighth Restricted Data Envelopment Analysis

Maruf¹

2021

SAKA-TJMER

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Benzer nitelikteki girdi ve çıktılar üreterek çok sayıdaki organizasyonel karar verme biriminin göreli etkinliklerini ölçen veri zarflama analizi (DEA) doğrusal programlama tabanlı bir metottur. Klasik veri zarflama analizi modellerinin dışında belirlenen girdi ve çıktı değişkenlerine ağırlık kısıtları konularak uygulanan Güven Bölgesi (AR) metodu ile karar vericilerin değer yargıları ve tercihleri modele dahil edilebilmektedir. Çünkü klasik veri zarflama analizi modellerinde girdi ve çıktı ağırlıklarının tamamen esnek olması karar verme birimlerine ait göreli etkinlik skorlarında tutarsızlıklara neden olabilmektedir. Böylece normal şartlarda etkin olmayan bir karar verme birimi etkin olarak görünebilmektedir. Bu çalışmada 35 OECD ülkesinin 2019 yılı ekonomik etkinliklerini analiz etmek ve etkinlik skorlarına göre bu ülkeleri sıralamak amaçlanmıştır. Ülkelerin ekonomik etkinliklerinin ölçülmesinde hem girdi odaklı CCR model hem de ağırlık kısıtlı model (ARI DEA) kullanılmıştır. VZA'da ağırlık kısıtlarının belirlenmesinde kullanılan ikili karşılaştırma değerleri AHP skalasına göre belirlenmiştir. CCR model ile yapılan analizlerde 2019 yılında yedi ülkenin ekonomisi etkin bulunurken, ağırlık kısıtlı modelde iki ülkenin ekonomisi etkin bulunmuştur. Güven bölgesi modeli ile ağırlık kısıtlı olarak yapılan etkinlik analizinde ülkelerin etkinlik değerleri, girdi odaklı CCR modele göre oldukça düşüktür. Bu doğrultuda ağırlık kısıtlı modelde kısıtların modele dahil edilmesinin etkinlik değerlerini önemli miktarda değiştirdiği ve ağırlık kısıtlı modelin CCR modele göre etkin olan ve olmayan ülkeleri belirlemede daha güçlü olduğu sonucuna ulaşılmıştır.

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“…Applications of DEA in marine safety can be found in Lee (2012a, 2012b). Hwang et al (2013) and Hwang et al (2014) consider applications where undesirable outputs exist. Systems where exist ripple effects can be effectively modeled as indicated by Lee et al (2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA

Hsu¹,

Chung²,

Lee³

et al. 2013

INFOR: Information Systems and Operational Research

Self Cite

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The shipping industry is essential for the economic development of nations like Taiwan as a means delivering and receiving cargo. Shipping has been depressed since 2008 as a result of the financial crisis increasing pressure for the shipping lines to operate more efficiently. This paper aims to contribute to the existing literature by proposing a novel model to identify and understand paths to improve shipping services by integrating network Data Envelopment Analysis (DEA) and the Balanced Scorecard (BSC). The proposed model treats the four perspectives of BSC (financial, customer, internal business processes, and learning and growth) as four interconnected stages and calculates overall efficiency of each shipping company as well as the individual efficiency of BSC each stage. We present proposed model to advance the analysis of the shipping industry and to suggest an approach that benefits from DEA and BSC. Applying our proposed model to a limited sample of shipping line data, our test results show the ranking and the differences in performance between peer-evaluation and selfevaluation of each company and provide examples of potential insights into specific operations where modification can improve shipping line performance. Our results suggest the way the proposed combined use of DEA and BSC applied to a complete set of operating data has the potential to assist shipping companies improve operations and focus efforts and investments on areas that have potential to generate improved performance.

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Measuring Quality of Life Using DEA-AR: Focusing on Undesirable Factors

Cited by 6 publications

References 26 publications

Optimization of exhaust ejector with lobed nozzle for marine gas turbine

Optimization of exhaust ejector with lobed nozzle for marine gas turbine

Measuring the Economic Efficiencies of OECD Countries in 2019 By Weighth Restricted Data Envelopment Analysis

Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA

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