scholarly journals The Cost Monitoring of Construction Projects through Earned Value Analysis

2012 ◽  
Vol 2 (4) ◽  
pp. 42-45 ◽  
Author(s):  
Muhammad Waris ◽  
Mohd Faris Khamidi ◽  
Arazi Idrus
Keyword(s):  
Construction Projects ◽  
Earned Value ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
The Cost

scholarly journals EVALUASI PENGENDALIAN BIAYA DAN WAKTU PADA PROYEK PEMBANGUNAN JALAN STRATEGIS MATANG SIJUEK-TRIENG PANTANG DENGAN MENGGUNAKAN METODE EARNED VALUE

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Alfian Alfian
Keyword(s):  
Project Schedule ◽  
Earned Value ◽  
Control Cost ◽  
Cost Performance ◽  
Value Analysis ◽  
Project Completion ◽  
Earned Value Analysis ◽  
Cost Variance ◽  
Road Paving ◽  
The Cost

Time and cost are important aspects in a construcrtion project to achieve a desired success of the project. One way to control cost and time is to use earned value analysis (return value) that informs the data against the cost and time accurately and clearly. The purpose is to evaluate the amount of cost and usage time has been used in the on road paving projects in the Idi city sub district idi rayeuk district east aceh. The method used in this study is the concept of the value of the result (earned value analysis) examines the tendency of schedule variance and cost variance at a period during the project. By conducting this study of earned value project completion with BCWP =Rp.253,429,607.35 BCWS = Rp. 897,091, 753.ll and ACWP = Rp. 306,453,335. 79. Judging from the cost variance (CV) < 0, with cost performance index (CPI) <l in order to get project completion cost of Rp6,564,l 33,232. While aspects of the project Schedule is extra time -29.2% or 31 weeks ahead ofplan indicated SPI value < 1.Keywords : Cost, Performance, earned value, varians, index.

scholarly journals Evaluation Of Construction Project Time And Cost Control Based On Earned Value And Crash Project Method

Neutron ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 20-26
Author(s):  
Mohammad Irfandio Kurniawan ◽  
Diah Ayu Restuti Wulandari ◽  
Diah Ayu Restuti Wulandari ◽  
Julistyana Tistogondo ◽  
Julistyana Tistogondo
Keyword(s):  
High School ◽  
Junior High School ◽  
Junior High ◽  
Construction Project ◽  
Earned Value ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
Cost Variance ◽  
Cost Calculations ◽  
The Cost

Project development and how to control time and costs in the construction project of a public junior high school 1 Surabaya. This research was conducted with the aim of knowing and comparing the amount of duration and cost after acceleration by using the alternative Earned Value Analysis. The case study in this research takes the construction project of a public junior high school 1 Surabaya which is located in Surabaya. The data needed in this study include the S curve, recapitulation of project cost calculations, a list of budget plans (RAB), and a list of unit wage prices for workers. The research method used is to design network planning, calculate the cost variance and variance schedule for each activity that changes due to changes in the duration of implementation, acceleration of work duration, and determination of the optimum cost and duration due to the application of the Earned Value Analysis method. For the calculation of the variance Schedule on week 34 shows a positive result of Rp. 109,550,470. For the calculation of the cost variance from week 34 shows - Rp. 2,488,159. For the calculation of Estimate at completion (EAC) on week 34 of Rp. 6,663,998,229. For the calculation of Estimate temporary schedule, the evaluation week 34 experienced a delay of 53 days from the original schedule. So the work completion time is 233 calendar days

scholarly journals Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

2019 ◽  
Vol 11 (9) ◽  
pp. 1102 ◽  
Author(s):  
Reza Maalek ◽  
Derek D. Lichti ◽  
Janaka Y. Ruwanpura
Keyword(s):  
Construction Projects ◽  
Laser Scanning ◽  
Progress Monitoring ◽  
Point Clouds ◽  
Earned Value ◽  
Concrete Construction ◽  
Value Analysis ◽  
Cloud Data ◽  
Earned Value Analysis ◽  
Building Information

This manuscript provides a robust framework for the extraction of common structural components, such as columns, from terrestrial laser scanning point clouds acquired at regular rectangular concrete construction projects. The proposed framework utilizes geometric primitive as well as relationship-based reasoning between objects to semantically label point clouds. The framework then compares the extracted objects to the planned building information model (BIM) to automatically identify the as-built schedule and dimensional discrepancies. A novel method was also developed to remove redundant points of a newly acquired scan to detect changes between consecutive scans independent of the planned BIM. Five sets of point cloud data were acquired from the same construction site at different time intervals to assess the effectiveness of the proposed framework. In all datasets, the framework successfully extracted 132 out of 133 columns and achieved an accuracy of 98.79% for removing redundant surfaces. The framework successfully determined the progress of concrete work at each epoch in both activity and project levels through earned value analysis. It was also shown that the dimensions of 127 out of the 132 columns and all the slabs complied with those in the planned BIM.

scholarly journals Forecasting techniques in construction industry: earned value indicators and performance models

2020 ◽  
Vol 29 (2) ◽  
pp. 234-243
Author(s):  
Firas Jaber ◽  
Faiq Al-Zwainy ◽  
Nidal Jasim
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Performance Indicator ◽  
Tall Buildings ◽  
Earned Value ◽  
Cost Performance ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
New City ◽  
And Performance

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.

Cost Progress and Earned Value Analysis with Stochastic Activity Durations and Costs in Project Scheduling Problems

2015 ◽  
Vol 719-720 ◽  
pp. 1258-1263
Author(s):  
Jing Wen Zhang ◽  
Chuan Zhuo Qiao ◽  
Geng Tao Liu
Keyword(s):  
Project Managers ◽  
Scheduling Problems ◽  
Earned Value ◽  
Uncertain Environments ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
Cost Curves ◽  
Key Issues ◽  
Activity Cost ◽  
The Cost

This paper addressed two key issues: firstly, the cost incurred to complete an activity depends on its random duration; secondly, multiple methods to account for an activity cost are introduced. The upper and the lower bounds for cumulative cost curves over time can be tracked along a project progressed, which is obtained by mixing Monte Carl sampling with Gantt chart analysis. Moreover, these two bounds statistically represent the range for the budget cost of work scheduled; thus, the uncertain earned value analysis (EVA) is probed in our investigation. The conclusions indicate that project managers can obtain a degree of flexibility when adopting uncertain EVA to monitor status during project execution, which differs greatly from deterministic situations. Our study aims to illuminate some insights for the application of EVA under uncertain environments.

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