Artificial Intelligence Model to Assess Project Baseline Plan

Faculty Engineering Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
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.
   
     
 
       

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