Efficient location by using data envelopment analysis
Subject Areas : Statistics
1 - Department of Mathematics, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Mathematics, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.
Keywords: برنامهریزی چندهدفه, تحلیل پوششی دادهها, مکانیابی, کارایی,
Abstract :
So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability. The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models. After the advent of science of data envelopment analysis, some researchers have considered the efficiency of selected facilities as one of the target functions in locational issues and provide solutions. In this paper, we present a multi-objective programming model by integrating a joint weights estimation model and location model. The resulting model, unlike the former models, is characterized by a single run of efficiently selected centers from several potential centers. The proposed model is investigated by a numerical example, and the results show the contradiction between location and performance functions
