A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency

作者：Suzuki Soushi; Nijkamp Peter; Rietveld Piet^*; Pels Eric

来源：European Journal of Operational Research, 2010, 207(2): 1104-1115.

DOI：10.1016/j.ejor.2010.05.049

• Distance friction minimization (DFM) method
• Data envelopment analysis (DEA)
• Multiple Objective Quadratic Programming (MOQP)
• Efficiency improving projection
• Airport efficiency

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).

• 出版日期2010-12-1