Prediction of Construction Project Duration and Cost using Earned Value Management
Velumani P1, Nampoothiri N2, Aparnadevi R3
1Velumani P, Department of Civil, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.
2Nampoothiri N, Department of Civil, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.
3Aparnadevi, Department of Civil, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 30 December 2019 | PP: 437-441 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A10221291S419/19©BEIESP | DOI: 10.35940/ijeat.A1022.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Forecasting construction project duration for future with accurate efficiency by considering all the delay factors is a big deal. Various examinations have been done to evaluate the reasons for duration delays in a construction site. Most common similarity between many factors are flawed design, inadequate supervision in workplace, shortage of supplies, absence of teamwork and local climatic conditions, causes a myriad of issues. Here, for forecasting, we chose the construction of ROB project at Kurnool, Andhra Pradesh. Though many techniques have been implemented to solve out this problem, predicting completion of an ongoing project is a big deal. Various tools have been used such as earned value management, exponential smoothing technique. After applying these techniques, a comparison with a minimal percentage of error is made and the best tool for prediction is selected. This investigation prescribes Smoothing techniques, the results become better when compared with different procedures.
Keywords: Forecasting, Exponential Smoothing Techniques, Earned Value Management.
Scope of the Article: Construction Engineering