Determining a common set of weights in a DEA problem using a separation vector

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Determining a common set of weights in a DEA problem using a separation vector

A separation method to be used for locating a set of weights, also known as a common set of weights (CSW), in the Data Envelopment Analysis (DEA) is proposed in this work. To analyze the methods of finding the CSW, it is necessary to solve a particular form of a multiple objectives fractional linear programming problem (MOFP). One of the characteristics of this particular MOFP is that the decis...

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Determining a common set of weights in DEA by solving a linear programming

In models of Data Envelopment Analysis (DEA), an optimal set of input and output weights is generally as-sumed to represent the assessed Decision Making Unit (DMU) in the best light in comparison to all the other DMUs. These sets of weights are, typically, different for each of the participating DMUs. Thus, it is important to find a Common Set of Weights (CSW) across the set of DMUs. In this pa...

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Ranking Two-Stage Process Using a Common Set of Weights in DEA

Supply chain management is the combination of art and science that goes into improving the supply chain. In some cases of supply chain especially two-stage process, differing weights for the same factors, may not acceptable. The purpose of this paper is a performance evaluation of two-stage using DEA and based on a CSW model and this method for ranking two-stage and could be used to measure the...

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determining a common set of weights in dea by solving a linear programming

in models of data envelopment analysis (dea), an optimal set of input and output weights is generally as-sumed to represent the assessed decision making unit (dmu) in the best light in comparison to all the other dmus. these sets of weights are, typically, different for each of the participating dmus. thus, it is important to find a common set of weights (csw) across the set of dmus. in this pa...

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Deriving Common Set of Weights in the Presence of the Undesirable Inputs: A DEA based Approach

Data Envelopment Analysis (DEA) as a non-parametric method for efficiency measurement allows decision making units (DMUs) to select the most advantageous weight factors in order to maximize their efficiency scores.  In most practical applications of DEA presented in the literature, the presented models assume that all inputs are fully desirable. However, in many real situations undesirable inpu...

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ژورنال

عنوان ژورنال: Mathematical and Computer Modelling

سال: 2011

ISSN: 0895-7177

DOI: 10.1016/j.mcm.2011.06.002