earned value analysis
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Author(s):  
Xiangtian Nie ◽  
Jianyou Shi ◽  
Bo Wang ◽  
Zhirui Cui

When an engineering project requires a lot of time and the construction environment is complex, the unit price of materials and personnel will change, the project construction will be hindered, and the construction plan of the project should be adjusted. These uncertain interference factors will cause the earned value analysis results are quite different from or even contrary to the actual situation, so there will not be enough impartial data to help managers to control project. To this end, this paper analyzes how the price fluctuations, process adjustment and the abnormal construction period will affect the construction schedule and cost effect respectively, and further studies the corresponding methods of earned value correction. Based on case analysis, this paper studies the comprehensive correction method of earned value when cost unit price changes, working procedure is adjusted and construction period fluctuates in an abnormal manner. The method improves the theory of earned value and provides reference for engineering practices on project management.


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

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


2021 ◽  
Vol 4 (1) ◽  
pp. 327
Author(s):  
Rudi Desmanto ◽  
Hendrik Sulistio

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.


2021 ◽  
Vol 181 ◽  
pp. 457-467
Author(s):  
Ricardo Almeida ◽  
Rui Abrantes ◽  
Mário Romão ◽  
Isabel Proença

2020 ◽  
Vol 3 (2) ◽  
pp. 95
Author(s):  
Siti Umi Azizah ◽  
Fakhrul Rozi Yamali ◽  
Elvira Handayani

Didalam pengendalian waktu dan pengendalian biaya pada suatu proyek sangat diperlukan agar suatu proyek mampu menyelesaikan proyek sesuai dengan waktu yang telah di rencanakan dan dengan biaya yang telah direncanakan. Metode analisis nilai hasil (Earned Value Analysis) adalah salah satu cara untuk mengetahui perkembangan proyek yang sedang berlangsung dengan menggunakan tiga indikator, yaitu ACWP, BCWS dan BCWP. Tujuan dari penelitian ini adalah untuk mengkaji dan mengendalikan waktu dan biaya serta memantau indeks kinerja proyek pelaporan pada pembangunan gedung laboratorium Fkip tahap IV (lanjutan) Universitas Jambi. Dari hasil perhitungan diperoleh nilai schedule variance (SV) sebesar (-14,88%), hasil ini menunjukkan pelaksanaan pekerjaan terlambat dari jadwal rencana proyek. Nilai cost variance (CV) sebesar (-6,51%), hasil ini menunjukkan biaya lebih besar dari anggaran yang telah di rencanakan. Nilai budget variace (BV) sebesar (7,28%), hasil ini menunjukkan bahwa anggaran yang digunakan lebih besar dari pada anggaran yang telah direncanakan. Prakiraan waktu penyelesaian proyek (EAS) selama 26,29 minggu dengan prakiraan total waktu penyelesaian proyek 0,29 minggu, hal ini menunjukkan bahwa penyelesaian proyek lambat dari jadwal yang telah direncanakan, dengan nilai kontrak yaitu dalam kurun waktu 26 minggu. Untuk prakiraan biaya penyelesaian proyek (EAC) sebesar Rp. 18.512.224.334,00 dengan sisa anggaran yaitu Rp. -1.127.524.334,00, hal tersebut menunjukkan bahwa biaya yang dikeluarkan lebih besar dari anggaran pelaksanaan, dengan total anggaran biaya sebesar Rp. 17.384.700.000,00.


2020 ◽  
Vol 29 (2) ◽  
pp. 234-243
Author(s):  
Firas Jaber ◽  
Faiq Al-Zwainy ◽  
Nidal Jasim

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.


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