Budget allocation management model for seismic rehabilitation of infrastructure assets.

Thesis (Ph.D (Civil Engineering - Construction Management))

Bibliographic Details
Main Author: Mohammadreza Yadollahi
Format: Thesis
Language:English
Published: Universiti Teknologi Malaysia 2024
Subjects:
Online Access:https://openscience.utm.my/handle/123456789/1496
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author Mohammadreza Yadollahi
author_facet Mohammadreza Yadollahi
author_sort Mohammadreza Yadollahi
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description Thesis (Ph.D (Civil Engineering - Construction Management))
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spelling oai:openscience.utm.my:123456789/14962024-12-18T09:00:40Z Budget allocation management model for seismic rehabilitation of infrastructure assets. Mohammadreza Yadollahi Buildings—Repair and reconstruction—Planning Buildings—Earthquake effects Earthquake resistant design Thesis (Ph.D (Civil Engineering - Construction Management)) 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. Universiti Teknologi Malaysia 2024-12-18T00:31:47Z 2024-12-18T00:31:47Z 2013 Thesis Dataset https://openscience.utm.my/handle/123456789/1496 en application/pdf application/pdf application/pdf Universiti Teknologi Malaysia
spellingShingle Buildings—Repair and reconstruction—Planning
Buildings—Earthquake effects
Earthquake resistant design
Mohammadreza Yadollahi
Budget allocation management model for seismic rehabilitation of infrastructure assets.
title 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_short Budget allocation management model for seismic rehabilitation of infrastructure assets.
title_sort budget allocation management model for seismic rehabilitation of infrastructure assets
topic Buildings—Repair and reconstruction—Planning
Buildings—Earthquake effects
Earthquake resistant design
url https://openscience.utm.my/handle/123456789/1496
work_keys_str_mv AT mohammadrezayadollahi budgetallocationmanagementmodelforseismicrehabilitationofinfrastructureassets