Earned Value Analysis for Construction Projects Using Project Management Scheduling Engine
American Journal of Civil Engineering
Volume 7, Issue 5, September 2019, Pages: 121-125
Received: Sep. 19, 2019;
Accepted: Oct. 15, 2019;
Published: Oct. 23, 2019
Views 406 Downloads 235
Mohammad Azim Eirgash, Department of Civil Engineering, Faculty of Engineering, Karadeniz Technical University, Trabzon, Turkey
One of the most important functions of project management is the monitoring and control of the project process. To perform it, Earned Value Analysis (EVA) in project management is a well-known management system to be applicable. This analysis is a very significant technique to measure and control the performance and progress of a project and is used in various sectors. It allows the calculation of cost and timing variances and performance indices and predicts project cost and project duration estimation. In addition, the usage of the correlation between the schedule performance index and cost performance index and the meaning of indices such as budgeted cost of work scheduled, budget cost of work performed, and the actual cost of work performed is illustrated in detail to analyze the performance of EVM application in the project management. Thereby, in this study, some of the work items of a sample project using Microsoft Office Excel were evaluated according to the Earned Value Analysis and the result implies that the analysis helped the project perform better through the cost and schedule indices.
Mohammad Azim Eirgash,
Earned Value Analysis for Construction Projects Using Project Management Scheduling Engine, American Journal of Civil Engineering. Special Issue: Application of Earned Value Analysis in Construction Projects .
Vol. 7, No. 5,
2019, pp. 121-125.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
R. Avlijaš and G.; Avlijaš, Upravljanje projektom. Beograd: Univerzitet Singidunum, In Serbian, 2010.
S. Leu, A. Chen and C. Yang, “A GA-based fuzzy optimal model for construction time–cost trade-off”, International Journal of Project Management, 19 (1), 47-58, 2001.
Fleming. Q. W and Koppelman. J. M, “Earned Value Project Management, Project Management Institute”, Newtown Square, PA, 1996.
Kim. E, Wells. W. G and M. R. Duffey, A model for effective implementation of Earned Value Management methodology. International Journal of Project Management, 21 (5), 375-382, 2003.
Vandevoorde, S. and Vanhoucke, M. “A comparison of different project duration forecasting methods using earned value metrics”. International Journal of Project Management, 24 (4), 289–302, 2005.
Lipke et al. “The probability of success”. The Journal of Quality Assurance Institute, January, 14–21, 2004.
Acebes et al. “Beyond Earned Value Management: A Graphical Framework for Integrated Cost, Schedule and Risk Monitoring”. Procedia - Social and Behavioral Sciences, 74, 181-189, 2013.
Czemplik, A. “Application of Earned Value Method to Progress Control of Construction Projects”. Procedia Engineering, 91, 424-428, 2014.
Noori. S, Bagherpour. M and Zareei. A, Applying fuzzy control chart in earned value analysis: a new application. World Applied Sciences Journal, 3 (4), 684-690, 2008.
Christensen. D. S and Templin. C, “EAC evaluation methods:” do they still work. Acquisition Review Quarterly 9, 105-116, 2002.
Moslemi-Naeni et al. “Evaluating fuzzy earned value indices and estimates by applying alpha cuts”. Expert Systems with Applications, 38 (7), pp. 8193-8198, 2011.
Eirgash M. A., Toğan V., Kazaz. A; “Application Earned Value Based Metrics to Enhance the Performance Measurement of Engineering Project Management”, Nevsehir Journal of Science and Technology. pp 431-439, 2017.
Sandhya. S and Ganapathy R. N “Analysis of Project Performance Using Earned Value Analysis”. International Journal of Science, Engineering and Technology Research, 4 (4), pp 1-5 (2015).