Aspects of Earned Value Management

Earned value management (EVM) is a methodology that considers the scope, costs, and schedules of a given project for easy management and execution. Through this methodology, project managers can predict the future and adjust accordingly to make any changes (Mataji et al., 2019). Every project has a baseline plan and work process schedule, easily accessible to managers using EVM (Nizam et al., 2020). Earned value management has a subset called Earned Value Analysis (Muqeet et al., 2019). EVA is used by EVM as a component tool although in a small scope since it goes up to only the computation of project related data (Nurannisa et al., 2021). EVM is concerned with the use of data to come up with project trends, and analysis is said to be a project management tool that is concerned with data used and the solutions from the data.

For managers in any project, earned value management methodology is advantageous when used to manage projects compared to unplanned projects. First, it helps map the project costs and reduce the unknowns into measurable factors (Miguel et al., 2019). Secondly, earned value management helps compare and benchmark a project’s current progress with its baseline hence identifying critical paths for the project (Liu and Jiang, 2021). Furthermore, earned value management has clear metrics and documentation that makes accountability to stakeholders achievable by project managers (Zohoori et al., 2019). The final importance of earned value management is that it shows a project’s bigger picture at project and portfolio levels.

There are several calculations used to evaluate as well as control the projects also know as the earned value analysis in projects (Zhan et al., 2019). The first concept calculated to tell the progress and control of a given project is the Total Planned Budget. Project budget refers to the estimated costs needed to complete a given task in a given period. It estimates which costs will be used at which phase and includes operating, procurement, material, and labor costs (Tereso et al., 2019). All projects undertaken have underlaying risks; hence one of the purposes of a budget in projects is to mitigate an organization’s financial risk; otherwise, the results may be way worse than expected (Ladeeda and Jeevan, 2019). Project managers should make sure that they follow the given budget to stay the course of the project and spend the planned amount of money.

Planned value is the approved budget that the project manager assigns to activities, also known as the work breakdown structure (WBS). Management reserve is not included in this budget (Vaibhava et al., 2020). The manager allocates planned value in several given phases during the project’s lifetime. This term refers to the physical accomplished work of the project at the given time (Khamooshi and Kwak, 2021). In the beginning, planned value in projects is called performance measured baseline, but at the end, it is known as the budget at completion. Another important term used to evaluate and control projects is the project’s actual cost (Vaibhava and Rao, 2019). It is the total amount of money a project uses from the time it started to where it is at a given time. It helps determine the project performance by comparing the amount of money to the expected amount projected in the budget (Koke and Moehler, 2019). The actual cost is also to calculate the cost variance and cost performance index.

Earned value refers to the value of work done to date in the project. If the project ends at the given moment, the project’s earned value will be the value of the work produced by the project up to that given moment (Widiningrum et al., 2020). This is the most important of all the calculations done for earned value since it shows how much value is earned from the amount spent on the project.

Total Planned Budget

Total planned budget (TB) = 100 portraits * $ 500 = $ 50,000

Daily planned production is another term that is used in project budgeting. It refers to the amount of work the project manager schedules and expects to be done on a single day in the project (Anwarsyah and Ahyudanari, 2019). The daily planned production is gotten by dividing the number of portraits by the number of days that the whole project is expected to run hence getting the number of portraits produced in a single day (Santoso and Sulistio, 2020).

Daily planned production = 100 portraits /200 days = 0.5 portraits/ day

Daily planned budget in earned value management refers to the amount of money planned to be done on a single day of the project (Sudiarsa et al., 2018). In the given case study, it will be calculated by dividing the total budget of the project by the number of days that the project is supposed to last (Mahmoudi et al., 2019).

Daily planned production = $50,000/200 = $250 = 0.5 portrait/day *$500 = $250

Planned Value

In our case study, Tony’s plan calls for 0.5portraits/day * 50 days = 25 portraits already finished. The total cost for those portraits is 25*$500 = $12,500. This is the planned value of the given case study (Netto et al., 2020). This means that if Tony’s plan works as scheduled, in the 50 days, he would have completed 25 portraits and, in return, earned $12,500.

Earned Value

In this case study, the given contract price was $500 per portrait where Tony managed to complete 21 portraits in 50 days. 21 * $500 = $10500. This amount is the budget cost for the work performed, otherwise called the earned value (EV).

Actual Cost

Tony’s given amount of money on the 21 completed portraits was $11,400. The amount is known as the actual cost of the already done work.

Actual cost = $542.86 * 21 portraits = $11400

Variance in the Project

Cost variance (CV) = Earned Value – Actual Cost = $10,500 – $11,400 = -$900

Schedule Variance (SV) = Earned value – Planned Value = $10,500 – $12,500 = -$2,000

Schedule variance in days (SV, days) = SV ($) /Daily planned Budget = $2, 000 / $250 = 8days

Cost performance index (CPI) = Earned Value / Actual Cost = $10,500 / 12,500 = 0.84

Forecasted Cost Variance (FCV) = Cost variance / % complete = 900 / 0.21 = $4,286

Forecasted Schedule Variance (FSV) = Schedule variance (days) / % complete = 8/ 0.21 = 38.1 days.

Summary

Total Budget ($) 50,000
% Of work completed 21
Actual cost ($) 11,400
Earned Cost ($) 10,500
Planned Cost ($) 12,500
Cost Variance ($) -900
Schedule variance ($) -2000
Schedule Variance (days) 8
Cost Performance Index 0.92
Schedule Performance Index 0.84
Forecasted Cost Variance 4,286
Forecasted Schedule variance 38.2

Several conclusions can be drawn from the above data. The first one is that the artist is 8 days behind the planned performance schedule. The project is also 21% complete, having exceeded the planned cost by $900. If Tony continues the work at the current work rate, it will be 38 days late from the planned completion time. Finally, With the given variation between the initial plan and the actual work rate, the corrective measure should be put in place to speed up the pace of work.

Cost ($) against Time (Days)
Cost ($) against Time (Days)

Reference List

Anwarsyah, A.I. and Ahyudanari, E., 2019. Project Performance Analysis Using the Earned Value Management (EVM) Method (Case Study: PT XYZ). IPTEK Journal of Proceedings Series, (5), pp. 57-64.

Khamooshi, H. and Kwak, Y.H., 2021. Project Duration Forecasting: A Simulation-Based Comparative Assessment of Earned Schedule Method and Earned Duration Management. The Journal of Modern Project Management, 9(2).

Koke, B. and Moehler, R.C., 2019. Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, pp. 180-197.

Ladeeda, V.H. and Jeevan, J., 2019. Probabilistic evaluation of the stability in earned value management forecasting on topologically diverse project networks. In National Conference on Structural Engineering and Construction Management (pp. 713-724). Springer, Cham.

Liu, G. and Jiang, H., 2020. Performance monitoring of project earned value considering scope and quality. KSCE Journal of Civil Engineering, 24(1), pp. 10-18.

Mahmoudi, A., Bagherpour, M. and Javed, S.A., 2019. Grey earned value management: theory and applications. IEEE Transactions on Engineering Management, 68(6), pp. 1703-1721.

Miguel, A., Madria, W. and Polancos, R., 2019. Project management model: Integrating earned schedule, quality, and risk in earned value management. In 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 622-628). IEEE.

Mataji, S.T.H., Noori, S., Noorossana, R. and Bagherpour, M., 2018. An exante control chart for project monitoring using earned duration management observations. Journal of Industrial Engineering International, 14(4), pp. 793-806.

Muqeet, M.A., Nikhil, T.R. and Hanagodimath, A.K.V., 2019. Planning, Scheduling and Earned Value Management Analysis of Green Construction.

Netto, J.T., de Oliveira, N.L.F., Freitas, A.P.A. and dos Santos, J.A.N., 2020. Critical factors and benefits in the use of earned value management in construction. Brazilian Journal of Operations & Production Management, 17(1), pp. 1-10.

Nizam, A., Aburas, H.M. and Elshennawy, A.K., 2020. Earned Value in a Project Manufacturing Environment-A Case Study Assessing the Effectiveness of EVM. The Journal of Modern Project Management, 8(2), pp. 1-5.

Nurannisa, M., Hajji, A.M., Larasati, A. and Chen, Y.W., 2021, October. Developing and evaluating prediction models of architectural work performance by combining earned value methods and support vector machines. In AIP Conference Proceedings (Vol. 2447, No. 1, p. 030023). AIP Publishing LLC.

Santoso, P.B. and Sulistio, H., 2020, December. Earned Value Analysis on National Salt Warehouse Construction Project. In IOP Conference Series: Materials Science and Engineering (Vol. 1007, No. 1, p. 012066). IOP Publishing.

Sudiarsa, M., Wibawa, I.G.S. and Sutapa, I.K., 2018. Evaluation of project implementation performance with earned value methods. Logic: Jurnal Rancang Bangun dan Teknologi, 18(2), pp. 98-108.

Tereso, A., Ribeiro, P. and Cardoso, M., 2018. An automated framework for the integration between EVM and risk management. Journal of Information Systems Engineering and Management, 3(1), p. 03.

Vaibhava, S. and Rao, B.P., 2019. Challenges of earned value management application in Indian construction industry. International Journal of Recent Technology and Engineering, 8(2), pp. 733-735.

Vaibhava, S., Rao, B.P., Shetty, D.V. and Prakash, C., 2020. Application of earned value method and earned schedule method for a residential apartment. In Journal of Physics: Conference Series (Vol. 1706, No. 1, p. 012117). IOP Publishing.

Widiningrum, A., Pratami, D. and Haryono, I., 2020. Project performance analysis using earned value management method in telecommunication. International Journal of Integrated Engineering, 12(3), pp. 107-114.

Zhan, Z., Wang, C., Yap, J.B.H., Samsudin, S. and Abdul-Rahman, H., 2019. Earned value analysis, implementation barriers, and maturity level in oil & gas production. South African Journal of Industrial Engineering, 30(4), pp. 44-59.

Zohoori, B., Verbraeck, A., Bagherpour, M. and Khakdaman, M., 2019. Monitoring production time and cost performance by combining earned value analysis and adaptive fuzzy control. Computers & Industrial Engineering, 127(3), pp.805-821.

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