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Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects

Infrastructure maintenance and rehabilitation projects involve activities scattered over a large geographical area (e.g., scattered road segments maintenance, telecom towers maintenance program, etc.). Planning such projects require a resource-based approach that accounts for the implications of res...

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Main Author: Gad, Heba
Format: Thesis
Published: AUC Knowledge Fountain 2023
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access_status_str Open Access
author Gad, Heba
author_browse Gad, Heba
author_facet Gad, Heba
author_sort Gad, Heba
collection Thesis
description Infrastructure maintenance and rehabilitation projects involve activities scattered over a large geographical area (e.g., scattered road segments maintenance, telecom towers maintenance program, etc.). Planning such projects require a resource-based approach that accounts for the implications of resource mobility between activities’ locations in terms of time & cost. Existing scheduling techniques fall short of addressing the unique challenges of the scattered nature of these projects in combination with organization's limited resources availability. To address this need, this research presents a resources-based planning framework for infrastructure maintenance and rehabilitation scattered projects with the objective of enhancing resources utilization achieving time and cost savings associated with the economy of scale of these projects. The proposed framework is applied through an agent based (AB) model using Anylogic software. The model includes several features: (1) adaptation of queuing theory in prioritizing & assigning resources to activities; (2) Integration of Multimode resources in combination with different construction methods for activities; and (3) GIS based analysis of resources mobility between activities. The research, also, discusses the application of the proposed framework in an agent based (AB) simulation model adapting to the complexity of real-life projects called Resource Based Scheduler (RBS) The model was applied on a case study and several examples from literature where it successfully developed resource deployment plans detailing resources mobility between activities, as well as the activity process itself and was able to develop a schedule 30% shorter than literature. The proposed framework enables efficient resources-based planning of scattered projects on a large scale as an added value for the planning of infrastructure maintenance & rehabilitation projects.
format Thesis
id oai:fount.aucegypt.edu:etds-3168
institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:54.296Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher AUC Knowledge Fountain
publisherStr AUC Knowledge Fountain
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source_str AUC Knowledge Fountain — bepress
spelling oai:fount.aucegypt.edu:etds-3168 Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects Gad, Heba Infrastructure maintenance and rehabilitation projects involve activities scattered over a large geographical area (e.g., scattered road segments maintenance, telecom towers maintenance program, etc.). Planning such projects require a resource-based approach that accounts for the implications of resource mobility between activities’ locations in terms of time & cost. Existing scheduling techniques fall short of addressing the unique challenges of the scattered nature of these projects in combination with organization's limited resources availability. To address this need, this research presents a resources-based planning framework for infrastructure maintenance and rehabilitation scattered projects with the objective of enhancing resources utilization achieving time and cost savings associated with the economy of scale of these projects. The proposed framework is applied through an agent based (AB) model using Anylogic software. The model includes several features: (1) adaptation of queuing theory in prioritizing & assigning resources to activities; (2) Integration of Multimode resources in combination with different construction methods for activities; and (3) GIS based analysis of resources mobility between activities. The research, also, discusses the application of the proposed framework in an agent based (AB) simulation model adapting to the complexity of real-life projects called Resource Based Scheduler (RBS) The model was applied on a case study and several examples from literature where it successfully developed resource deployment plans detailing resources mobility between activities, as well as the activity process itself and was able to develop a schedule 30% shorter than literature. The proposed framework enables efficient resources-based planning of scattered projects on a large scale as an added value for the planning of infrastructure maintenance & rehabilitation projects. 2023-06-21T07:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2129 https://fount.aucegypt.edu/context/etds/article/3168/viewcontent/Resources_Based_Planning_Framework_for_Infrastructure_Maintenance_and_Rehabilitation_Projects.pdf Theses and Dissertations AUC Knowledge Fountain Construction Operations Resources Deployment Time-Cost Tradeoff Scattered Repetitive Projects Genetic Algorithms Simulation Agent Based Modeling multiple sites Infrastructure Maintenance and Rehabilitation Computational Engineering Construction Engineering and Management Operational Research Other Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Construction Operations
Resources Deployment
Time-Cost Tradeoff
Scattered Repetitive Projects
Genetic Algorithms
Simulation
Agent Based Modeling
multiple sites
Infrastructure
Maintenance and Rehabilitation
Computational Engineering
Construction Engineering and Management
Operational Research
Other Operations Research, Systems Engineering and Industrial Engineering
Gad, Heba
Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title_full Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title_fullStr Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title_full_unstemmed Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title_short Resources Based Planning Framework for Infrastructure Maintenance and Rehabilitation Projects
title_sort resources based planning framework for infrastructure maintenance and rehabilitation projects
topic Construction Operations
Resources Deployment
Time-Cost Tradeoff
Scattered Repetitive Projects
Genetic Algorithms
Simulation
Agent Based Modeling
multiple sites
Infrastructure
Maintenance and Rehabilitation
Computational Engineering
Construction Engineering and Management
Operational Research
Other Operations Research, Systems Engineering and Industrial Engineering
url https://fount.aucegypt.edu/etds/2129
https://fount.aucegypt.edu/context/etds/article/3168/viewcontent/Resources_Based_Planning_Framework_for_Infrastructure_Maintenance_and_Rehabilitation_Projects.pdf
work_keys_str_mv AT gadheba resourcesbasedplanningframeworkforinfrastructuremaintenanceandrehabilitationprojects