نتایج جستجو برای Network DEA

تعداد نتایج: 470204  

2009
GONGBING BI, JINGJING DING, LIANG LIANG, JIE WU,

This paper addresses the potential uncertainty in Cook (2007)’s methodology to classify dual-role factors by introducing a useful property. In addition, if the assumption that dual-role factors can be clearly classified into either inputs or outputs, which underlies Cook (2007), doesn't hold, an extension of DEA model incorporating dual-role factors is proposed in this paper. Then a theorem is ...

Journal: :European Journal of Operational Research 2012
Léopold Simar, Anne Vanhems, Paul W. Wilson,

In productivity and efficiency analysis, the technical efficiency of a production unit is measured through its distance to the efficient frontier of the production set. The most familiar non-parametric methods use Farrell-Debreu, Shephard, or hyperbolic radial measures. These approaches require that inputs and outputs be non-negative, which can be problematic when using financial data. Recently...

Journal: :Annals OR 2014
Cecilio Mar-Molinero, Diego Prior, Maria-Manuela Segovia, Fabiola Portillo,

The standard DEA model allows different DMU units to set their own priorities for the inputs and outputs that form part of the efficiency assessment. In the case of a centralized organization with many outlets, such as an education authority that is responsible for many schools, it may be more sensible to operate in the most efficient way, but under a common set of priorities for all DMUs. The ...

2001
J. H. Dulá,

Data envelopment analysis is computationally intensive. The standard approach requires the solution of as many LPs as there are points in the data domain, each with as many columns. This number is frequently in the thousands and multi-period DEA amplifies the problem. Enhancements that reduce the size of the LPs are possible and a new scheme consisting of partitioning the domain offers more tim...

2007
YELIZ EKINCI,

Assignment problem has always been a popular problem for production and operations research. There have been developed many methods and heuristics for these kinds of problems. This research deals with the problem of an automotive company’s driver belt assembly supply from its by-industry suppliers. Firstly, the suppliers are evaluated by data envelopment analysis (DEA), which is a mathematical ...

Journal: :Computers & OR 2008
José H. Dulá,

Data Envelopment Analysis (DEA) is computationally intensive. This work answers conclusively questions about computational performance and scale limits of the standard LP-based procedures currently used. Examples of DEA problems with up to 15K entities are documented and it is not hard to imagine problem size increasing as new more sophisticated applications are found for DEA. This work reports...

Journal: :Annals OR 2008
Necmi Kemal Avkiran, Kaoru Tone, Miki Tsutsui,

Data envelopment analysis (DEA) has been utilized worldwide for measuring efficiencies of banks, telecommunications, electric utilities and so forth. Yet, the existing models have some well known shortcomings that limit their usefulness. In DEA we have two fundamental approaches to measuring efficiency with very different characteristics; radial and non-radial. We demonstrate a method for linki...

2010
Ke Wang,

In order to evaluate the multistage supply chain efficiency, an appropriate performance evaluation system is importantly required. A representative multistage supply chain has three members composing a supplier-manufacturer-retailer structure, and has intermediate measures connecting these supply chain members. Existing data envelopment analysis (DEA) models have difficulties in measuring these...

2014

Abstract—Multi-component data envelopment analysis (MCDEA) is a popular technique for measuring aggregate performance of the decision making units (DMUs) along with their components. However, the conventional MC-DEA is limited to crisp input and output data which may not always be available in exact form. In real life problems, data may be imprecise or fuzzy. Therefore, in this paper, we propos...

2014
A. R. JAYARAMAN,

Data Envelopment Analysis (DEA) is widely used in banking sector to measure the efficiency of the banks. This paper evaluates the performance of the banks in India using cost, revenue and profit models of DEA and comes out with a comprehensive efficiency index for banks, by combing the efficiency scores of various DEA models, using the Shannon entropy. In general, the banks included in this stu...

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