Efficient location by using data envelopment analysis

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Mirbloky M.; Jolaei m.

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Journal Paper

Paper Information

Journal: JOURNAL OF NEW RESEARCHES IN MATHEMATICS Year:2018 | Volume:4 | Issue:14 Page(s): 61-69

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Information Journal Paper

Title

Efficient location by using data envelopment analysis

Author(s)

Mirbloky M. | Jolaei m. | Issue Writer Certificate

Keywords

locationQ2

Data Envelopment AnalysisQ1

EfficiencyQ2

Multi-purpose PlanningQ1

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.

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APA: Copy

Mirbloky, M., & Jolaei, m.. (2018). Efficient location by using data envelopment analysis. JOURNAL OF NEW RESEARCHES IN MATHEMATICS, 4(14 ), 61-69. SID. https://sid.ir/paper/257384/en

Vancouver: Copy

Mirbloky M., Jolaei m.. Efficient location by using data envelopment analysis. JOURNAL OF NEW RESEARCHES IN MATHEMATICS[Internet]. 2018;4(14 ):61-69. Available from: https://sid.ir/paper/257384/en

IEEE: Copy

M. Mirbloky, and m. Jolaei, “Efficient location by using data envelopment analysis,” JOURNAL OF NEW RESEARCHES IN MATHEMATICS, vol. 4, no. 14 , pp. 61–69, 2018, [Online]. Available: https://sid.ir/paper/257384/en

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