TY - JOUR
T1 - The incomplete hub-covering location problem considering imprecise location of demands
AU - Davari, Soheil
AU - Fazel Zarandi, Mohammad Hossein
AU - Turksen, Burhan
N1 - cited By 22
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
U2 - 10.1016/j.scient.2013.04.010
DO - 10.1016/j.scient.2013.04.010
M3 - Article
VL - 20
SP - 983
EP - 991
JO - Scientia Iranica
JF - Scientia Iranica
IS - 3
ER -