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Artificial Intelligence Model to Assess Project Baseline Plan
Faculty
Engineering
Year:
2020
Type of Publication:
ZU Hosted
Pages:
Authors:
Ahmed Hessien Mahmoud Mohamed Elyamany
Staff Zu Site
Abstract In Staff Site
Journal:
INTERNATIONAL JOURNAL OF SCIENTIFIC & ENGINEERING RESEARCH IJSER
Volume:
Keywords :
Artificial Intelligence Model , Assess Project Baseline
Abstract:
Planning is one of the most important stages in managing construction projects. Most researches focus on developing and improving scheduled techniques. Yet, surveying the literature reveal insufficiency in the area of project planning assessment researches. This research aims at bridging this gap and introduce a model to assess Project Baseline Plan (PBP). The development of the PBP model is achieved in four steps. First, collecting factors affecting the Project Baseline Plan from literature. Second, identifying the most important factor using Delphi technique. Third, assigning relative weights to each factor using the Analytical Hierarchy Process (AHP). Fourth, developing and validating the PBP model. This model helps the user to predict the percentage of matching between the preconstruction program and the actual construction program. Both deterministic model and fuzzy model have been developed where the fuzzy model produces better results than the deterministic model. This research uses project duration as a bench mark to evaluate the model by comparing the model results for two case studies.
Author Related Publications
Ahmed Hessien Mahmoud Mohamed Elyamany, "Developing A Quality Measure For Evaluating The Contractor Performance Ii Asphalt Pavement Construction", Chinese Society of Pavement Engineering, 2013
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Ahmed Hessien Mahmoud Mohamed Elyamany, "Using MEPDG to Develop Rational Pay Factor for Hot Mix Asphalt Construction", International Organization Of Scientific Research, 2013
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Ahmed Hessien Mahmoud Mohamed Elyamany, "Effect of Best Value Model Variables on Contractor Selection Decision", International Organization Of Scientific Research, 2014
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Ahmed Hessien Mahmoud Mohamed Elyamany, "Utilizing Random Performance Records in the Best Value Model", Taylor & Francis, 2012
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Ahmed Hessien Mahmoud Mohamed Elyamany, "Contractor Performance Evaluation for the Best-Value of Superpave Projects", ASCE, 2010
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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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