Machine Learning Regression Techniques (MLRT) as a shrewd method can be utilized in this study being exceptionally fruitful in demonstrating non-linear and the interrelationships among them in problems of construction projects such as the earned value indexes for tall buildings projects in Republic of Iraq. Three forecasting models were developed to foresee Schedule Performance Index (SPI) as first model, Cost Performance Index (CPI) as a second model, and the third model is To Complete Cost Performance Indicator (TCPI) in Bismayah New City was chosen as a case study. The methodology is mainly impacted by the deciding various components (variables) which impact on the earned value analysis, six free factors (X1: BAC, Budget at Completion; X2: AC, Actual Cost; X3: A%, Actual Percentage; X4: EV, Earned Value; X5: P%, Planning Percentage, and X6: PV, Planning Value) were self-assertively assigned and agreeably depicted for per tall buildings projects. It was found that the MLRT showed good results of estimation in terms of correlation coeffi cient (R) generated by MLR models for SPI and CPI and TCPI where the R were 85.5%, 89.2%, and 86.3% respectively. At long last, a result tends to be presumed that these models show a brilliant concurrence with the genuine estimations.
This study deals with the problem of communication management system in Project Management Office (PMO) in Iraqi construction sectors. The main objective of this study was to estimate and develop the Communication Management System (CMS). Methodology: Visual basic language has been used to build analytical software which is (Communication Management Software). This software displays the overall information in every single project management office followed by the evaluation of the actuality of communication methods with two arithmetic equations so that estimate the effectiveness and barriers of Communication Management System. Statistical Package for the Social Sciences, SPSS vr.23.0 was used for Data analysis and determining the equations to calculate the efficiency and barriers of PMO; Developed Computer Software: Based on the data analysis results, it will provide computer software to calculate the efficiency and barriers of PMO and validation and verification of computer software followed by the discussion of the results. CMS was weighed depending on a questionnaire of ten project management engineers in Iraqi construction zones. Results showed that 100% stated to the simple usage of the software, and 75% of the research sample proven that the software discussed three matters which are cost, time, and performance. The result expressed that the half of the studied sample proved the CMS accuracy to valuation certainty of CMS. The 55% of the resulting sample expressed is very good software for both increasing the performance in the middle of the members of the Project Management Office. Evaluation of the proposed software indicated that it is effective in communication management in Project Management Office (PMO).
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