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Location Models for Two Different Applications

Title:

Location Models for Two Different Applications

Song, Shibo (2016) Location Models for Two Different Applications. Masters thesis, Concordia University.

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Abstract

There has been a growing interest in location problems for their wide use in many
areas, such as passive optical networks and logistics networks. However, as the
papers appear in different literature, researchers usually do not take advantage
of their mutual findings. We propose to bridge the gaps and therefore to propose
efficient solutions schemes for two different applications.

In the first application, our research goal is to investigate the FTTX (Fiber-to-the
Home/Premises/Curb) passive optical network (PON) for the deployment of broadband
access. We focus on designing the best possible architectures of FTTX hybrid PONs,
which embraces both Time Division Multiplexing (TDM) and Wave Division
Multiplexing (WDM) technology. A hybrid PON architecture is very efficient as it
is not limited to any specific PON technology, rather it is flexible enough to deploy
TDM/WDM technology depending on the type (i.e., unicast/multicast) and amount
of traffic demand of the end-users. We investigate the optimized covering of a geographical
area by a set of cost-effective hybrid PONs. We propose a novel network design
optimization scheme for greenfield deployment of a set of hybrid PONs, in which all
significant constraints are taken into account, e.g., type of traffic, attenuation, choice of
splitting equipment.

In the second application, we revisit the p-center location problem in the context of
disruption events. We propose an optimized covering in the geographical area for a
given number of customers and suppliers, ensuring each customer is assigned a
primary supplier and a different backup supplier unless the primary supplier has a
so-called fortified facility. However, the budget for facility fortification is limited and
only few facilities can be fortified. We design an optimization model under the assumption
of single event disruptions, and estimate accurately the required facility capacities while
taking into account a sharing of the backup resources.

We evaluate our proposed models and algorithms by a comprehensive set of numerical
experiments, with some comparisons in each of these two applications. Conclusions are
drawn in the last chapter.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Song, Shibo
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science
Date:15 January 2016
Thesis Supervisor(s):Jaumard, Brigitte
ID Code:980823
Deposited By: SHIBO SONG
Deposited On:16 Jun 2016 14:44
Last Modified:18 Jan 2018 17:52
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