نوع المشرف

مشرف رئيسي

تاريخ الاشراف على الرسالة من

2021

الى

2022

اسم الطالب

Sharehan Abu Haswah

ملخص الرسالة

The success of any construction project needs to achieve integration between the stages it goes through, starting from the project Initiation stage and planning stage to the implementation stage and then the monitoring and control stage that coincides with each of those stages to the completion stage of the project. The cost factor is one of the important factors controlling the project, as the initial cost estimates that are made at the idea stage of the project play the main role in judging the feasibility of the project or not, as depending on this estimate the idea of the project is changed, abandoned or continued in it. The decision is to follow up on the project. It moves from the idea stage to the planning and design stage, and thus the cost estimate is developed from the initial estimate in the idea stage to the initial estimate in the early stages of planning and design. The construction industry in the modern era is characterized by rapid development. The survival of companies and their ability to maintain their position in competitive markets is no longer limited to the implementation of simple small projects of a recurring nature, but rather their orientation towards planning and constructing large construction projects that are characterized by complexity, diversity of business, multiplicity of participating parties, length of implementation and high costs compared to other projects, However, the traditional management followed today often fails to deliver this type of dynamic project within its allocated cost limits, This calls for project managers' orientation towards modern global experiences and adopting some of their successful methods that facilitate the planning and follow-up process of projects, especially the Earned Value Management methodology (EVM), as it contributes to monitoring the project's financial status by analyzing a set of indicators and does not depend on this principle of analysis but rather confirms on the need to move from analysis to management by predicting the future performance of a project based on its past performance and giving important information that helps project managers evaluate potential risks and control them during the course of the project. According to this importance, the researchers developed several mathematical models to predict the final cost. These models have received wide spread and many studies have been conducted on them. Despite the use of the EVM methodology in engineering projects and the dependence of many companies on it in evaluating the performance of their projects, its contribution to proactive management by predicting the future is weak due to the complex business environment that makes the forecasting process using EVM inaccurate, especially in the early project stages, From this standpoint, the research problem arose in working to improve the predictive performance of the acquired value management by employing the latest techniques known globally in its prediction accuracy and speed to reach the goal of Artificial Neural Networks (ANN).