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Assessment of scope definition for building projects in Saudi Arabia
Faculty
Engineering
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Samer Mohamed Yamany
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Asian Architecture and Building Engineering Taylor & Francis
Volume:
Keywords :
Assessment , scope definition , building projects , Saudi
Abstract:
Effective project management is crucial for the successful delivery of construction projects, ensuring they are completed on time, within budget, and to the desired quality standards. Project scope definition is at the heart of project management, which forms the basis for project planning, execution, and control. However, despite its importance, there is a lack of comprehensive investigation into project scope definition compared to other areas of management knowledge. This research paper identifies the key enablers and elements of project scope definition, as well as their relative importance. Moreover, this study develops an assessment model using the Analytic Hierarchy Process (AHP) to evaluate the completeness of the project scope definition. Data was gathered through a questionnaire survey deployed to subject matter experts specialized in building projects in Saudi Arabia. The results highlight the significance of understanding the direct impact of scope definition on project success, which emerged as the most influential enabler in facilitating scope definition. Among the top ten elements of scope definition are project financial requirements, regulatory requirements, and building site location and geotechnical data. The findings and AHP assessment model can assist project stakeholders and managers in effectively defining project scope, potentially leading to efficient management of building projects.
Author Related Publications
Mohammed Samer Mohamed Yamany, "Generation of Synthetic Dataset to Improve Deep Learning Models for Pavement Distress Assessment", Springer Nature, 2025
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Mohammed Samer Mohamed Yamany, "Leveraging Convolutional Neural Networks for Efficient Classification of Heavy Construction Equipment", Springer Nature, 2024
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Mohammed Samer Mohamed Yamany, "Enhancing Local Road Pavement Condition Prediction Using Bayesian-Optimized Ensemble Machine Learning and Adaptive Synthetic Sampling Technique", Taylor & Francis, 2024
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Mohammed Samer Mohamed Yamany, "Quantitative and Qualitative Review of Material Waste Management in Construction Projects", Springer Nature, 2024
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Mohammed Samer Mohamed Yamany, "Network-level Pavement Maintenance and Rehabilitation Planning Using Genetic Algorithm", Springer Nature, 2024
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Department Related Publications
Ahmed Elsayed Ali Mahmoud, "An Integrated Sustainable Construction Project’s Critical Success Factors (ISCSFs)", Sustainable Engineering and Science, 2021
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Gamal Saber Ahmed Elfiky, "Determination of local gravimetric geoid model over Egypt using LSC and FFT estimation techniques based on different satellite- and ground-based datasets", Taylor & Francis, 2021
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Mohammed Ahmed Ali Alashkar , "Determination of local gravimetric geoid model over Egypt using LSC and FFT estimation techniques based on different satellite- and ground-based datasets", Taylor & Francis, 2021
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Ahmed Hussien Ibrahim Mahmmoud, "Management of Construction Cost Contingency Covering Upside and Downside Risks.", Alexandria Engineering Journal (AEJ),, 2014
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