Results 11 to 20 of about 5,893 (112)
Subsampling bootstrap in network DEA [PDF]
European Journal of Operational Research, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria Michali +3 more
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Network DEA based on DEA-ratio [PDF]
Financial Innovation, 2021 AbstractData envelopment analysis (DEA) is a technique to measure the performance of decision-making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal structure of DMUs is ignored. Two-stage DEA models are special case network DEA models that explore the internal structures of DMUs.
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Fuzzy Ranking Network DEA with General Structure [PDF]
Mathematics, 2020 This paper extends two fuzzy ranking data envelopment analysis (DEA) approaches to the case of general networks of processes. The first approach provides an efficiency score for each possibility level which requires solving one linear program for each possibility level.
Plácido Moreno, Sebastián Lozano
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Modelling bank performance: A network DEA approach [PDF]
European Journal of Operational Research, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hirofumi Fukuyama, Roman Matousek
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Measuring performance with common weights: network DEA [PDF]
Neural Computing and Applications, 2019 In conventional data envelopment analysis (DEA), a production system has been seen as a black box for measuring the efficiency without any attention to what is happening inside the system. However, in practice, performance improvement often requires observing the internal structure of the producing system in order to find the sources of inefficiencies.
Adel Hatami-Marbini, Saber Saati
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Benchmarking with network dea in a fuzzy environment [PDF]
RAIRO - Operations Research, 2019 Benchmarking is a powerful and thriving tool to enhance the performance and profitabilities of organizations in business engineering. Though performance benchmarking has been practically and theoretically developed in distinct fields such as banking, education, health, and so on, benchmarking of supply chains with multiple echelons that include certain
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Network DEA: an application to analysis of academic performance [PDF]
Journal of Industrial Engineering International, 2013 As governmental subsidies to universities are declining in recent years, sustaining excellence in academic performance and more efficient use of resources have become important issues for university stakeholders. To assess the academic performances and the utilization of the resources, two important issues need to be addressed, i.e., a capable ...
Monfared, Mohammad Saniee, Safi, Mahsa
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DEA for nonhomogeneous mixed networks
Asia Pacific Management Review, 2019 Abstract Practically, systems contain a set of subunits each of which has a set of inputs and produces a set of outputs. Conventional data envelopment analysis (DEA) ignores the operations of individual subunits in a system and considers the system as a black-box.
Mona Barat, Ghasem Tohidi, Masoud Sanei
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Network DEA 모형과 DEA-window 분석을 이용한 저비용항공사 효율성 분석
Journal of the Aviation Management Society of Korea, 2019 본 연구는 Network DEA와 DEA-window 모형을 이용하여 국내 저비용항공사의 정태적/동태적 효율성을 분석하였다. Network DEA는 전통적인 DEA모형의 단점을 보완하는 방법으로 중간과정에 숨어있는 변환과정을 설명할 수 있다. DEA-window모형은 다기간에 걸친 동태적 효율성을 분석할 수 있는 방법이다. 실증 분석을 위하여 국내 5개 저비용항공사(티웨이항공, 제주항공, 진에어, 이스타항공, 에어부산)를 분석대상으로 선정하였고, 분석기간은 2013년부터 2017년까지이다. Network DEA모형의 1단계 투입변수는 매출원가, 산출변수는 ASK이고, 2단계 투입변수는 ASK와 판매관리비, 산출변수는 RPK이다.
null 김수영, null Moon-Gil Yoon
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Neural network DEA for measuring the efficiency of mutual funds
International Journal of Applied Decision Sciences, 2014 Efficiency in the mutual fund (MF), is one of the issues that has attracted many investors in countries with advanced financial market for many years. Due to the need for frequent study of MF’s efficiency in short-term periods, investors need a method that not only has high accuracy, but also high speed. Data envelopment analysis (DEA) is proven to ...
Payam Hanafizadeh +3 more
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