Budget allocation management model for seismic rehabilitation of infrastructure assets

Economic efficiency is an important factor in seismic rehabilitation planning for infrastructure assets. An inventory of structures is screened to identify seismically susceptible parts and prioritize them in the order of need for rehabilitation purposes. In most cases, the financial resources for r...

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Main Author:	Yadollahi, Mohammadreza
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TH Building construction
Online Access:	http://eprints.utm.my/id/eprint/37797/5/MohammadrezaYadollahiPFKA2013.pdf
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id	my-utm-ep.37797
record_format	uketd_dc
spelling	my-utm-ep.377972017-07-24T01:33:26Z Budget allocation management model for seismic rehabilitation of infrastructure assets 2013-02 Yadollahi, Mohammadreza TH Building construction Economic efficiency is an important factor in seismic rehabilitation planning for infrastructure assets. An inventory of structures is screened to identify seismically susceptible parts and prioritize them in the order of need for rehabilitation purposes. In most cases, the financial resources for rehabilitation of infrastructure assets are limited. Therefore, there is a need to efficiently allocate such resources to various projects. The main goal of this research is to develop a budget allocation management model for rehabilitation of infrastructure projects, when there isn’t sufficient budget to allocate to all projects. Accordingly, a decision support system is developed and exercised in this research to optimize the budget for rehabilitation projects in three categories of road structures. To accomplish this, a computer-based Multiple Strategy Budget Allocation decision support System (MSBAS©) was developed to identify (including selection and prioritization) the best configuration (package) of seismic rehabilitation projects across existing structures. This system employs a multi-criteria assessment module that takes into account desirable criteria to estimate the financial needs for rehabilitation based on the existing budget constraints in a fiscal year. To select the optimal package of projects, a Genetic Algorithm (GA) optimization module is also developed. Multi-objective decision making is conducted under a specific decision strategy with solving a 0-1 Knapsack Problem. To demonstrate the applicability of the GA-based approach, a hypothetical decision making problem is presented. Using this system, managers can compare their decisions for different strategies and significantly improve management efficiency. 2013-02 Thesis http://eprints.utm.my/id/eprint/37797/ http://eprints.utm.my/id/eprint/37797/5/MohammadrezaYadollahiPFKA2013.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TH Building construction
spellingShingle	TH Building construction Yadollahi, Mohammadreza Budget allocation management model for seismic rehabilitation of infrastructure assets
description	Economic efficiency is an important factor in seismic rehabilitation planning for infrastructure assets. An inventory of structures is screened to identify seismically susceptible parts and prioritize them in the order of need for rehabilitation purposes. In most cases, the financial resources for rehabilitation of infrastructure assets are limited. Therefore, there is a need to efficiently allocate such resources to various projects. The main goal of this research is to develop a budget allocation management model for rehabilitation of infrastructure projects, when there isn’t sufficient budget to allocate to all projects. Accordingly, a decision support system is developed and exercised in this research to optimize the budget for rehabilitation projects in three categories of road structures. To accomplish this, a computer-based Multiple Strategy Budget Allocation decision support System (MSBAS©) was developed to identify (including selection and prioritization) the best configuration (package) of seismic rehabilitation projects across existing structures. This system employs a multi-criteria assessment module that takes into account desirable criteria to estimate the financial needs for rehabilitation based on the existing budget constraints in a fiscal year. To select the optimal package of projects, a Genetic Algorithm (GA) optimization module is also developed. Multi-objective decision making is conducted under a specific decision strategy with solving a 0-1 Knapsack Problem. To demonstrate the applicability of the GA-based approach, a hypothetical decision making problem is presented. Using this system, managers can compare their decisions for different strategies and significantly improve management efficiency.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Yadollahi, Mohammadreza
author_facet	Yadollahi, Mohammadreza
author_sort	Yadollahi, Mohammadreza
title	Budget allocation management model for seismic rehabilitation of infrastructure assets
title_short	Budget allocation management model for seismic rehabilitation of infrastructure assets
title_full	Budget allocation management model for seismic rehabilitation of infrastructure assets
title_fullStr	Budget allocation management model for seismic rehabilitation of infrastructure assets
title_full_unstemmed	Budget allocation management model for seismic rehabilitation of infrastructure assets
title_sort	budget allocation management model for seismic rehabilitation of infrastructure assets
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/37797/5/MohammadrezaYadollahiPFKA2013.pdf
_version_	1747816502529097728

Budget allocation management model for seismic rehabilitation of infrastructure assets

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