Results 191 to 200 of about 7,009 (230)

Multiple allocation hub covering flow problem under uncertainty

Annals of Operations Research, 2022
The hub covering problem can be viewed as a combination of the set covering and the hub location problem. In a traditional hub covering problem, all parameters are assumed to be deterministic. However, neglecting uncertainties associated with demand and transportation costs may lead to inferior solutions.
Nazmi Sener, Orhan Feyzioglu
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The hub covering flow problem

Journal of the Operational Research Society, 2013
The hub covering flow problem (HCFP) seeks to find the minimal cost hub-and-spoke network by optimally locating hub nodes and assigning non-hub nodes to the hub nodes subject to a coverage constraint. The cost of establishing such a hub network is based on a fixed cost of opening hubs and the cost of transporting demand flow through the network.
T J Lowe, T Sim
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Hub Covering Location Problem under Capacity Constraints

2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010
The hub location problem appears in a variety of applications including airline systems, cargo delivery systems, and telecommunication network design. When we analyze hub location applications separately, we observe that each area has its own characteristics. In this paper, we study the single allocation hub covering problem under capacity constraints (
Reza Ghodsi, Mehrdad Mohammadi, Hamideh Rostami   +2 more
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The hierarchical hub maximal covering problem with determinate cover radiuses

2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010
Hierarchical facility location problems with three levels deal with location of facilities in any level and assignment traffic to given routing. Hub covering problems covered the demand nodes, if they are within a particular radius of a facility that can supply their demand.
R. Sahraeian, E. Korani
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Uncapacitated single allocation p-hub maximal covering problem

Computers & Industrial Engineering, 2012
The hub location problem is to find a set of hub nodes on the network, where logistics transportation via the hubs is encouraged because of the cost or distance savings. Each node that has a specified amount of demands can be connected to one of p hubs.
Young Ha Hwang, Young Hoon Lee
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Model formulations for hub covering problems

Journal of the Operational Research Society, 2008
Summary: Improved model formulations for hub covering problems are proposed. We discuss multiple and single allocation problems, including non-increasing quantity-dependent transport time functions for transport links for the latter case. Computational results are presented, which show that the new solution approaches for problems with quantity ...
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Evolutionary Algorithms for Multiple Allocation Hub Set Covering Problem

2008 IEEE International Conference on Networking, Sensing and Control, 2008
We consider the multiple allocation hub set covering problem (MAHSCP): requiring all O-D flow to reach the destination optionally passing through one or two hubs in a limited time, cost or distance, what is the optimal way to locate hubs at minimal cost.
Kerui Weng, Yijuan Wang
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The hub covering flow problem and the stochastic p-hub center problem

2018
The hub location problem seeks to find the best location for hubs and the assignment of non-hub nodes to hubs. The resulting structure is a hub-and-spoke network. In this dissertation, we study the hub location problem within the context of three different application areas.
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Stochastic p-hub center covering problem with delivery time constraint

2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010
In this paper, stochastic version of p-hub covering center problem (we call it Sp-HCCP) has been presented that optimizes the location of the hubs and allocation of non-hub nodes to hub nodes. The goal of our model is to maximize the minimum service-level that can achieved for a given maximum path length (delivery time on the path).
M. Bashiri, S. Mehrabi
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