Exploring the Impact of Agile Project Management on Cost and Project Performance on Construction Engineering in Iraq Elaf Dheyaa Abdulridha AL-Zubaidi Journal Europeen Des Systemes Automatises, 2024 The paper examines the significant impact agile project management (APM) has had on the time and cost spent on building engineering projects in Iraq.Using the results of a large-scale study, we look into how different measures of project efficacy are linked to APM's prevalence and success.The findings demonstrate the significance of APM in boosting project results.The research shows that there is a substantial connection between APM Effect and Overall Outcomes, with a robust positive correlation of 0.79.This study indicates that the quality of project outcomes significantly improves as the perceived value of APM in project management rises.In addition, the positive correlations between APM Effect and other important criteria like Cost prediction Accuracy (0.72) and Reducing Delays (0.68) highlight the fact that APM is closely connected with improved project cost prediction and a reduction in project delays.As a result, the efficiency of the project improves.Altogether, our results illuminate the significant benefits of implementing APM practices in building engineering projects in Iraq.The potential for APM to move forward venture comes about whereas bringing down costs is highlighted by these rising joins, highlighting the developing importance of APM in modern extend administration hones.The discoveries of this investigate give vital understanding into the work of APM within the setting of Iraqi development ventures.
Evaluation for the effect of pavement type on the total life cost and environmental aspects of roads Basim H. Al-Humeidawi, Osamah H. Chafat, Elaf Dheyaa Abdulridha Al-Zubaidi Periodicals of Engineering and Natural Sciences, 2021 There are several types of pavements which have been constructed around the world; flexible and rigid pavement. These pavements have major differences in terms of materials and construction process, giving the differences in their compositions and production process, each one of these pavements has some strength and weak points. The current study presents detailed comparison between these two pavements from the perspectives of the total life cost and environmental aspects using software Athena pavement Life Cycle Assessment (LCA). The assessment using LCA software is based on the construction materials, the construction and maintenance process as well as the machines and vehicles used during the construction, and the life cycle of pavement. Two majors streets were selected for the purpose of the comparison, the first street is called the street of coaches station in Al-Diwaniyah city and the second street is Om Al-Kheil street. The street of coaches station was constructed with composite pavement layers (full rigid pavement layers covered by 5 cm flexible pavement layer). On the other hand, the street of Om Al-Kheil was constructed with full layers of flexible pavement. The results of Life Cycle Cost Analysis (LCCA) showed that initial construction cost of composite pavement is higher than that of flexible pavement by 31%, while the total maintenance cost for flexible pavement is about 24 % more than of composite pavement. The diesel oil and gasoline had consumed by higher quantities during the preparation and construction stages of flexible pavement compared with composite pavement. Therefore, the environmental impact and gases emissions is more consumed during the construction of flexible pavement.
Guess the time of implementation of residential construction projects using neural networks ANN Elaf Dheyaa Abdulridha AL-Zubaidi, Ali Hashim Yas, Hayder Fadhil Abbas Periodicals of Engineering and Natural Sciences, 2019 The construction duration of residential projects, especially in building processes, significantly impact the business of a construction company. The balance between the planned cost, direct cost, and overheads directly depend on the precision of the implementation phase of the project. The application of the artificial neural network (ANN) to predict the duration of implementation of a residential construction project from the pre-design stage to completion is comprehensively discussed in this research. The study applies the back-propagation (BP) network made of nodes for error evaluation of the training states. Further, the proposed system illustrated that the artificial neural network (ANN) satisfy the three crucial criteria (cost, quality, and time) used for the evaluation of projects. The ANN provided accurate data for the training and estimation of, the duration of a residential construction project with adequate resources of implementation. The performance of the results for the ANN at 105 iteration shows that the prediction was 99.841% accurate for the overall system. The best fit occurred at the 99th epoch with an MSE of 0.10286.
Project management information system effect decision making in the construction industry of Iraq Periodicals of Engineering and Natural Sciences, 2019
