Modelling uncapacitated facility location problem with uncertain customers’ positions

Article type: Research Article

Authors: Huang, Xiaoxia^* | Di, Hao

Affiliations: Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, China

Correspondence: [*] Corresponding author. Xiaoxia Huang, Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China. Tel.: +86 10 82376260; Fax: +86 10 62333582; E-mail: hxiaoxia@manage.ustb.edu.cn.

Abstract: This paper discusses an uncapacitated facility location problem with customers’ positions subject to experts’ estimations. Uncertain variables are used to describe the estimations of customers’ positions, and an expected distance minimization model is proposed. In addition, a hybrid intelligent algorithm for solving the proposed model problem is provided. To illustrate the application of the new model and show the effectiveness of the solution algorithm, a numerical example is also presented.

Keywords: Facility location, uncertainty modeling, uncertain programming, uncertain facility location

DOI: 10.3233/IFS-141536

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 6, pp. 2569-2577, 2015