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• W2078480198 abstract "This paper aims to present a newly developed distance friction minimization (DFM) method in the context of data envelopment analysis (DEA) in order to generate an appropriate (non-radial) efficiency-improving projection model, for both input reduction and output increase. In this approach, a generalized distance function, based on a Euclidean distance metric in weighted spaces, is proposed to assist a decision making unit (DMU) to improve its performance by an appropriate movement towards the efficiency frontier surface. A suitable form of multidimensional projection function for efficiency improvement is given by a Multiple Objective Quadratic Programming (MOQP) model. The paper describes the various steps involved in a systematic manner. The above-mentioned DFM model is illustrated empirically by using a data set on 30 European airports, where the aim is to present a comparative analysis of the efficiency of operational management in these airports. In addition, the comparative analysis of these airports is able to assess both input slacks and output slacks (or a combination of input reduction and output rise)." @default.
• W2078480198 created "2016-06-24" @default.
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• W2078480198 date "2010-12-01" @default.
• W2078480198 modified "2023-10-14" @default.
• W2078480198 title "A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency" @default.
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• W2078480198 doi "https://doi.org/10.1016/j.ejor.2010.05.049" @default.
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