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.

scholarly journals Predicting Earned Value Indexes in Residential complexes’ Construction Projects Using Artificial Neural Network Model

2020 ◽  
Author(s):  
ibraheem Aidan ◽  
Firas Jaber ◽  
Duaa Al-Jeznawi ◽  
Faiq Al-Zwainy
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Historical Data ◽  
Performance Indicator ◽  
Residential Buildings ◽  
Great Accuracy ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance

The importance of this study may be defined by using the smart techniques to earned value indicators of residential buildings projects in Republic of Iraq, only one development intelligent forecasting model was presented to predict Schedule Performance Index (SPI), Cost Performance Index (CPI), and To Complete Cost Performance Indicator (TCPI) are defined as the dependent. The approach is principally influenced by the determining numerous factors which effect on the earned value management, that involves Iraqi historical data. In addition, six independent variables (F1: BAC, Budget at Completion., F2: AC, Actual Cost., F3, A%, Actual Percentage., F4: EV, Earned Value. F5: P%, Planning Percentage., and F6: PV, Planning Value) were arbitrarily designated and satisfactorily described for per construction project. It was found that ANN has the capability to envisage the dust storm with a great accuracy. The correlation coefficient (R) has been 90.00%, and typical accuracy percentage has been 89.00%.

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 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 PERANCANGAN OTOMATIS PERHITUNGAN EARNED VALUE PADA PROYEK PEMBANGUNAN DENGAN MENGGUNAKAN BAHASA PEMROGRAMAN C#

2021 ◽  
Vol 4 (1) ◽  
pp. 327
Author(s):  
Rudi Desmanto ◽  
Hendrik Sulistio
Keyword(s):  
Programming Language ◽  
Poor Performance ◽  
Good Time ◽  
Earned Value ◽  
Cost Performance ◽  
Value Analysis ◽  
C Programming Language ◽  
Time Performance ◽  
Earned Value Analysis ◽  
C Programming

Earned Value Analysis is one of the methods used in project control to integrate costs and time. Earned Value Analysis is calculated using the C# programming language assistance tool to implement the Gudang Garam Nasional construction work. The method used is Earned Value Analysis. This study's results are equipped with a clear description of the steps that must be taken when starting programming in the C# programming language. For the calculation results of Earned Value Analysis using the Earned Value Analysis program - Rudto 2020 on several Gudang Garam Nasional projects from week 1 to week 2. (1) North Aceh Gudang Garam Nasional has poor cost performance and good timing; (2) Indramayu Gudang Garam Nasional has poor performance and poor costs; (3) Demak Gudang Garam Nasional has poor cost and time performance; (4) Jepara Gudang Garam Nasional has good cost performance but poor time performance; (5) Pati Gudang Garam Nasional has poor cost performance but good time performance; (6) Pamekasan Gudang Garam Nasional has poor cost performance but good time performance. ABSTRAKEarned Value Analysis merupakan salah satu metode yang digunakan dalam pengendalian proyek untuk mengintegrasikan biaya dan waktu. Earned Value Analysis dihitung dengan menggunakan alat bantuan bahasa pemrograman C# pada pelaksanaan pekerjaan konstruksi Gudang Garam Nasional. Metode yang digunakan adalah Earned Value Analysis. Hasil Penelitian ini dilengkapi deskripsi secara jelas langkah-langkah yang harus dilakukan ketika memulai pembuatan program dengan bahasa pemrograman C#. Untuk hasil perhitungan Earned Value Analysis dengan menggunakan program Earned Value Analysis – Rudto 2020 pada beberapa proyek Gudang Garam Nasional dari minggu ke-1 hingga minggu ke-2. (1) Gudang Garam Nasional Aceh Utara memiliki kinerja biaya yang buruk dan waktu yang baik; (2) Gudang Garam Nasional Indramayu memiliki kinerja yang buruk dan biaya yang buruk; (3) Gudang Garam Nasional Demak memiliki kinerja biaya dan waktu yang buruk; (4) Gudang Garam Nasional Jepara kinerja biaya yang baik namun kinerja waktu yang buruk; (5) Gudang Garam Nasional Pati memiliki kinerja biaya yang buruk namun kinerja waktu yang baik; (6) Gudang Garam Nasional Pamekasan memiliki kinerja biaya yang buruk namun kinerja waktu yang baik.

scholarly journals Predicting Performance Measurement of Residential Buildings Using an Artificial Neural Network

2021 ◽  
Vol 7 (3) ◽  
pp. 461-476
Author(s):  
Salah J. Mohammed ◽  
Hesham A. Abdel-khalek ◽  
Sherif M. Hafez
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Residential Buildings ◽  
Machine Intelligence ◽  
Control Technique ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance ◽  
Artificial Neural

Application Earned Value Management (EVM) as a construction project control technique is not very common in the Republic of Iraq, in spite of the benefit from EVA to the schedule control and cost control of construction projects. One of the goals of the present study is the employment machine intelligence techniques in the estimation of earned value; also this study contributes to extend the cognitive content of study fields associated with the earned value, and the results of this study are considered a robust incentive to try and do complementary studies, or to simulate a similar study in alternative new technologies. This paper is aiming at introducing a novel and alternative method of applying Artificial Intelligence Techniques (AIT) for earned value management of the construction projects through using Artificial Neural Networks (ANN) to build mathematical models to be used to estimate the Schedule Performance Index (SPI), Cost Performance Index (CPI) and to Complete Cost Performance Indicator (TCPI) in Iraqi residential buildings before and at execution stage through using web-based software to perform the calculations in the estimation quickly, accurately and without effort. ANN technique was utilized to produce new prediction models by applying the Backpropagation algorithm through Neuframe software. Finally, the results showed that the ANN technique shows excellent results of estimation when it is compared with MLR techniques. The results were interpreted in terms of Average Accuracy (AA%) equal to 83.09, 90.83, and 82.88%, also, correlation coefficient (R) equal to 90.95, 93.00, and 92.30% for SPI, CPI and TCPI respectively. Doi: 10.28991/cej-2021-03091666 Full Text: PDF

scholarly journals ANALISIS KINERJA PROYEK PEMBANGUNAN RUMAH SAKIT BANYUMANIK II DENGAN MENGGUNAKAN EARNED VALUE ANALYSIS (EVA) DAN PROJECT EVALUATION REVIEW TECHNIQUE (PERT)

2016 ◽  
Vol 11 (2) ◽  
pp. 61 ◽  
Author(s):  
Aries Susanty ◽  
Adi Luhung Pekerti ◽  
Diana Puspita Sari
Keyword(s):  
Performance Index ◽  
Construction Project ◽  
Poor Performance ◽  
Project Evaluation ◽  
Project Performance ◽  
Earned Value ◽  
Value Analysis ◽  
Total Cost ◽  
Project Completion ◽  
Earned Value Analysis

Penelitian ini bertujuan untuk untuk mengevaluasi kinerja proyek pembangunan Rumah Sakit Banyumanik II serta memberikan rekomendasi penjadwalan ulang atas pelaksanaan proyek teresebut. Penilaian kinerja proyek pembangunan Rumah Sakit Banyumanik II akan dilakukan dengan menggunakan Earned Value Analysis (EVA), sedangkan penjadwalan ulang atas pelaksanaan pekerjaan proyek tersebut akan dilakukan dengan menggunakan metoda Project Evaluation and Review Technique (PERT). Hasil penilaian kinerja proyek dengan menggunakan EVA menunjukkan bahwa pada hari 315, kinerja proyek kurang baik. Perbandingan antara estimasi nilai (value) pekerjaan fisik yang sebenarnya yang telah selesai dengan porsi total estimasi biaya yang sudah disetujui untuk dikeluarkan untuk proyek  selama 315 hari (scheduling performance index) memiliki nilai  kurang dari 1 (76,8%). Pengerjaan proyek tertinggal dari jadwal yang telah ditetapkan. Perbandingan nilai antara estimasi nilai (value) pekerjaan fisik yang sebenarnya yang telah selesai dengan biaya total langsung maupun tidak langsung yang digunakan dalam rangka menyelesaikan proyek sesuai aktivitasnya (cost performance index) selama 315 hari memiliki nilai kurang dari 1 (91,8%). Biaya proyek melebihi biaya yang dianggarkan sampai dengan periode tersebut. Selanjutnya, terdapat beberapa skenario untuk penyelesaian proyek apabila  penjadwalan ulang atas sisa kegiatan dari  proyek dilakukan dengan mengacu pada kondisi proyek pada hari ke-315. Jika sisa kegiatan proyek dipercepat dan proyek dapat diselesaikan dalam kurun waktu 117 hari, maka total biaya yang diperlukan adalah Rp.4.787.828.482, Jika sisa kegiatan proyek  dipercepat dan proyek dapat diselesaikan dalam kurun waktu 113 hari, maka biaya yang diperlukan adalah Rp  4.800.288.482, Jika sisa kegiatan proyek  dipercepat dan proyek dapat diselesaikan dalam kurun waktu 103 hari, maka biaya yang diperlukan adalah Rp.5.014.688.482. Jika sisa kegiatan proyek  dipercepat dan proyek dapat diselesaikan dalam kurun waktu 102 hari, maka baiya yang diperlukan adalah Rp.5.053.453.482; dan jika sia kegiatan proyek  dipercepat dan proyek dapat diselesaikan dalam kurun waktu 94 hari maka biaya yang diperlukana adalah Rp.5.397.573.482. AbstractThis study aims to evaluate the performance of the construction project of Banyumanik II Hospital and provide some recommendations for project rescheduling. Earned Value Analysis (EVA) is used as a method for evaluating a project performance; whereas, Project Evaluation and Review Technique (PERT)are used as a method for project rescheduling. The result of the evaluation of project performance using EVA shows that the construction project of Banyumanik Hospital II has poor performance on day 315. The comparison between the estimation of the original budget that has been earned by actual work completed and the planned time-phased baseline of the value of the work scheduled (scheduling performance index) on day 315 less than 1 (76.8%). Its mean the project behind the schedule. The comparison between the estimation of the original budget that has been earned by actual work completed and actual cost of the work completed on day 315 also less than 1 (91,8%. Its mean the project over cost. Then, based on the condition of the construction project on day 315,  we can make some scenario of project completion. If the project is completed in 117 days,  the total cost for remaining activity  will be IDR  4.787.828.482. If the  project is completed in 113 days, the total cost for remaining activity will be IDR.  4.800.288.482, If the project is completed in 103 days, the total cost for remaining activity will be IDR. 5.014.688.482. If the project is completed in 102 day, the total cost for remaining activity will be Rp.5.053.453.482; and if the project is completed in 94 days, the total cost for remaining activity will be IDR. 5.397.573.482.

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