Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7651
Title: The incomplete hub-covering location problem considering imprecise location of demands
Authors: Davari, S.
Zarandi, Mohammad Hossein Fazel
Türkşen, İsmail Burhan
Keywords: Hub-covering location problem
Fuzzy variables
Credibility theory
Facility location
Incomplete hub network
Issue Date: 2013
Publisher: Sharif Univ Technology
Abstract: Facility location is a prime decision to be made in many organizations around the globe. The hub location problem is one of the main variants of the facility location problem, with applications in telecommunications, the airline industry, and etc. In this paper, we deal with an incomplete hub-covering network design problem, where the exact locations of demands are unknown and are estimated as fuzzy variables. An earlier model in the hub location literature has been modified to address the uncertainty in the problem. In order to solve this problem, an efficient simulation-embedded Variable Neighborhood Search (VNS) has been designed and its performance has been validated using the well-known CAB dataset. (C) 2013 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.scient.2013.04.010
https://hdl.handle.net/20.500.11851/7651
ISSN: 1026-3098
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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