Technical Papers
Oct 13, 2023

Linear Methods for Estimating Schedule Time Earned: Theory and Application

Publication: Journal of Management in Engineering
Volume 40, Issue 1

Abstract

This study introduces the term earned time (ET) for the class of linear methods which estimate the amount of project schedule time earned. Existing methods such as planned value (PV) rate, earned duration, and earned schedule are shown to be specific cases of earned time that use different linear rates to convert schedule variance in units of cost to units of time. An additional PV segment method is proposed that uses the linear rate of only the segment of the PV curve responsible for the schedule variance. The ET methods are examined theoretically and applied to three example projects to clarify their underlying assumptions. Five factors are found to guide the selection of a method for a given application: linearity, adherency, parallelism, stage, and status. The study contributes to theory by generalizing the concept of earned time and providing a new method for its estimation. The study is useful for practitioners seeking to apply ET methods and interpret their results.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

Acebes, F., D. Poza, J. M. Gonzalez-Varona, and A. Lopez-Paredes. 2022. “Stochastic earned duration analysis for project schedule management.” Engineering 9 (Feb): 148–161. https://doi.org/10.1016/j.eng.2021.07.019.
Anbari, F. T. 2003. “Earned value project management methods and extensions.” Project Manage. J. 34 (4): 12–23. https://doi.org/10.1177/875697280303400403.
APM (Association for Project Management). 2013. Earned value management handbook. Princes Risborough, UK: APM.
Aramali, V., H. Sanboskani, G. E. Gibson Jr., M. E. Asmar, and N. Cho. 2021. “Earned value management system state of practice: Identifying critical subprocesses, challenges, and environmental factors of a high-performing EVMS.” J. Manage. Eng. 37 (4): 04021031. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000925.
Aramali, V., H. Sanboskani, G. E. Gibson Jr., M. E. Asmar, and N. Cho. 2022. “Forward-looking state-of-the-art review on earned value management systems: The disconnect between academia and industry.” J. Manage. Eng. 38 (3): 03122001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001019.
Ballesteros-Perez, P., E. Sanz-Ablanedo, D. Mora-Melia, M. C. Gonzalez-Cruz, J. L. Fuentes-Bargues, and E. Pellicer. 2019. “Earned schedule min-max: Two new EVM metrics for monitoring and controlling projects.” Autom. Constr. 103 (Jul): 279–290. https://doi.org/10.1016/j.autcon.2019.03.016.
Batselier, J., and M. Vanhoucke. 2015a. “Construction and evaluation framework for a real-life project database.” Int. J. Project Manage. 33 (3): 697–710. https://doi.org/10.1016/j.ijproman.2014.09.004.
Batselier, J., and M. Vanhoucke. 2015b. “Empirical evaluation of earned value management forecasting accuracy for time and cost.” J. Constr. Eng. Manage. 141 (11): 05015010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001008.
Boyd, S., and L. Vandenberghe. 2018. Introduction to applied linear algebra: Vectors, matrices, and least squares. Cambridge, UK: Cambridge University Press.
Budd, C. I., and C. S. Budd. 2014. The government manager’s guide to earned value management. Tysons Corner, VA: Management Concepts Press.
Chen, S., and X. Zhang. 2012. “An analytic review of earned value management studies in the construction industry.” In Proc., Construction Research Congress 2012: Construction Challenges in a Flat World, 236–246. Reston, VA: ASCE.
Cioffi, D. F. 2005. “A tool for managing projects: An analytic parameterization of the S-curve.” Int. J. Project Manage. 23 (Mar): 215–222. https://doi.org/10.1016/j.ijproman.2004.08.001.
Clendenon, R. L., and D. P. Muehleisen. 2015. “Comparison of earned schedule to EVMS schedule and metrics.” In Proc., AACE Int. Transactions, 1–21. Fairmont, WV: Association for the Advancement of Cost Engineering International.
de Andrade, P. A., A. Martens, and M. Vanhoucke. 2019. “Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities.” Autom. Constr. 99 (Mar): 68–78. https://doi.org/10.1016/j.autcon.2018.11.030.
DOE (Department of Energy). 2012. Earned value management system (EVMS). DOE guide 413.3-10A. Washington, DC: DOE.
East, W. E. 2015. Critical path method (CPM) tutor for construction planning and scheduling. New York: McGraw Hill.
Elshaer, R. 2013. “Impact of sensitivity information on the prediction of project's duration using earned schedule method.” Int. J. Project Manage. 31: 579–588.
Evensmo, J., and J. T. Karlsen. 2006. “Earned value based forecasts—Some pitfalls.” In Proc., 2006 AACE Int. Transactions, 1–5. Fairmont, WV: Association for the Advancement of Cost Engineering International.
Fleming, Q. W. 1983. Put earned value (C/SCSC) into your management control system. Irvine, CA: Humphreys and Associates.
Fleming, Q. W. 1988. Cost/schedule control systems criteria: The management guide to C/SCSC. Chicago: Probus Publishing Company.
Hammad, M. W., A. Abbasi, and M. J. Ryan. 2018. “Developing a novel framework to manage schedule contingency using theory of constraints and earned schedule methods.” J. Constr. Eng. Manage. 144 (4): 04018011. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001178.
Henderson, K., and O. Zwikael. 2008. “Does project performance stability exist? A re-examination of CPI and evaluation of SPI(t) stability.” CrossTalk 21 (4): 7–13.
Hochwald, W., B. U. Miller, and W. D. Ashcraft. 1966. “SCOPE: (Schedule, cost, performance) planning and control system.” IEEE Trans. Eng. Manage. EM-13 (1): 2–16. https://doi.org/10.1109/TEM.1966.6446478.
Jacob, D. 2003. “Forecasting project schedule completion with earned value metrics.” Measurable News 1 (May): 7–9.
Jacob, D. S., and M. Kane. 2004. “Forecasting schedule completion with earned value metrics revisited.” Measurable News 1: 11–17.
Khamooshi, H., and A. Abdi. 2017. “Project duration forecasting using earned duration management with exponential smoothing techniques.” J. Manage. Eng. 33 (1): 04016032. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000475.
Khamooshi, H., and H. Golafshani. 2014. “EDM: Earned duration management, a new approach to schedule performance management and measurement.” Int. J. Project Manage. 32 (Apr): 1019–1041. https://doi.org/10.1016/j.ijproman.2013.11.002.
Khamooshi, H., M. Mamghaderi, and Y. H. Kwak. 2021. “Project duration forecasting: A simulation-based comparative assessment of earned schedule method and earned duration management.” J. Mod. Project Manage. 9 (2): 6–19. https://doi.org/10.19255/JMPM02701.
Kim, B.-C. 2014. “Dynamic control thresholds for consistent earned value analysis and reliable early warning.” J. Manage. Eng. 31 (5): 04014077. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000309.
Kim, B.-C., and H.-J. Kim. 2014. “Sensitivity of earned value schedule forecasting to S-curve patterns.” J. Const. Eng. Manage. 140 (7): 04014023. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000856.
Kudzal, J. 2016. The principles of earned value management: A cost and schedule control system. Waldorf, MD: Brook-Anthony Corporation.
Lee, T. A. 1996. “Procuring contracting officer’s guide to cost/schedule control systems criteria (C/SCSC).” Unpublished thesis, Dept. of Systems Management, Naval Postgraduate School.
Lipke, W. 2003. “Schedule is different.” Measurable News 31 (4): 31–34.
Lipke, W. 2008a. “Project duration forecasting: Comparing earned value management methods to earned schedule.” CrossTalk 21 (12): 10–15.
Lipke, W. 2008b. “Schedule adherence: A useful measure for project management.” J. Qual. Assur. Inst. 22 (4): 22–27.
Lipke, W. 2009. Earned schedule. Raleigh, NC: Lulu Publishing.
Lipke, W. 2012. “Schedule adherence and rework.” CrossTalk 25 (6): 4–8.
Lipke, W. 2015. “Testing earned schedule forecasting reliability.” CrossTalk 28 (4): 32–37.
Lipke, W., O. Zwikael, K. Henderson, and F. Anbari. 2009. “Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes.” Int. J. Project Manage. 27 (4): 400–407. https://doi.org/10.1016/j.ijproman.2008.02.009.
Lipke, W. H. 2020. Earned schedule plus. Columbus, OH: Gatekeeper Press.
Lipke, W. H., and K. Henderson. 2006. “Earned schedule: An emerging enhancement to earned value management.” CrossTalk 19 (11): 26–30.
McConnell, D. R. 1985. “Earned value technique for performance measurement.” J. Manage. Eng. 1 (2): 79–94. https://doi.org/10.1061/(ASCE)9742-597X(1985)1:2(79).
Narbaev, T., and A. De Marco. 2014a. “Combination of growth model and earned schedule to forecast project cost at completion.” J. Constr. Eng. Manage. 140 (1): 04013038. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000783.
Narbaev, T., and A. De Marco. 2014b. “An earned schedule-based regression model to improve cost estimate at completion.” Int. J. Project Manage. 32 (6): 1007–1018. https://doi.org/10.1016/j.ijproman.2013.12.005.
Nizam, A., and A. Elshannaway. 2019. “Review of earned value management (EVM) methodology, its limitations, and applicable extensions.” J. Manage. Eng. Integration 12 (1): 59–70.
PMI (Project Management Institute). 2019a. Practice standard for scheduling. Newtown Square, PA: PMI.
PMI (Project Management Institute). 2019b. The standard for earned value management. Newtown Square, PA: PMI.
Rujirayanyong, T. 2009. “A comparison of three completion date predicting methods for construction projects.” J. Res. Eng. Tech. 6 (4): 305–318.
SAE International. 2019. Earned value management systems EIA-748D. Warrendale, PA: SAE International.
Simion, C., and I. Marin. 2018. “Project cost estimate at completion: Earned value management versus earned schedule-based regression models. A comparative analysis of the models application in the construction projects in Romania.” Econ. Comput. Econ. Cybern. Stud. Res. 52 (Sep): 205–216. https://doi.org/10.24818/18423264/52.3.18.14.
Slemaker, C. M. 1985. The principles and practice of cost schedule control systems. Princeton, NJ: Petrocelli Books.
Stratton, R. W. 2007. “Applying earned schedule analysis to EVM data for estimating completion date.” In Proc., AACE Int. Transactions, 1–4. Fairmont, WV: Association for the Advancement of Cost Engineering International.
Tavares, L. V., J. A. Ferreira, and J. S. Coelho. 2002. “A comparative morphologic analysis of benchmark sets of project networks.” Int. J. Project Manage. 20 (6): 475–485. https://doi.org/10.1016/S0263-7863(01)00022-9.
Tavares, L. V., J. A. Ferreria, and J. S. Coelho. 1999. “The risk of delay of a project in terms of the morphology of its network.” Eur. J. Oper. Res. 119 (2): 510–537. https://doi.org/10.1016/S0377-2217(99)00150-2.
Urgiles, P., J. Claver, and M. A. Sebastian. 2019. “Analysis of the earned value management and earned schedule techniques in complex hydroelectric power production projects: Cost and time forecast.” Complexity 2019 (Apr): 3190830. https://doi.org/10.1155/2019/3190830.
Vandevoorde, S., and M. Vanhoucke. 2006. “A comparison of different project duration forecasting methods using earned value metrics.” Int. J. Project Manage. 24 (4): 289–302. https://doi.org/10.1016/j.ijproman.2005.10.004.
Vanhoucke, M., J. Coelho, and J. Batselier. 2016. “An overview of project data for integrated project management and control.” J. Mod. Project Manage. 3 (3): 6–21.
Vanhoucke, M., and S. Vandevoorde. 2007. “A simulation and evaluation of earned value metrics to forecast the project duration.” J. Oper. Res. Soc. 58 (10): 1361–1374. https://doi.org/10.1057/palgrave.jors.2602296.
Warburton, R. D. H., and D. F. Cioffi. 2016. “Estimating a project’s earned and final duration.” Int. J. Project Manage. 34 (Mar): 1493–1504. https://doi.org/10.1016/j.ijproman.2016.08.007.
Warburton, R. D. H., A. De Marco, and F. Sciuto. 2017. “Earned schedule formulation using nonlinear cost estimates at completion.” J. Mod. Project Manage. 5 (1): 75–81.
Wendell, R. E., T. J. Lowe, and M. M. Gordon. 2023. “Dangers in using earned duration and other earned value metrics to measure a project’s schedule performance.” Central Eur. J. Oper. Res. 31 (2): 665–680. https://doi.org/10.1007/s10100-022-00830-4.
Willems, L. L., and M. Vanhoucke. 2015. “Classification of articles and journals on project control and earned value management.” Int. J. Project Manage. 33 (7): 1610–1634. https://doi.org/10.1016/j.ijproman.2015.06.003.
Williams, E. L., and G. A. Wilson. 1963. “Project cost control at Raytheon’s Wayland laboratory.” IEEE Trans. Eng. Manage. 3 (Sep): 138–149. https://doi.org/10.1109/TEM.1963.6434316.
Yang, J.-B., and C.-K. Kao. 2012. “Critical path effect based delay analysis method for construction projects.” Int. J. Project Manage. 30 (3): 385–397. https://doi.org/10.1016/j.ijproman.2011.06.003.
Yang, J.-B., and T.-H. Lai. 2023. “Selecting EVM, ESM and EDM(t) for managing construction project schedule.” Eng. Constr. Archit. Manage. https://doi.org/10.1108/ECAM-02-2023-0115.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 40Issue 1January 2024

History

Received: Apr 5, 2023
Accepted: Aug 7, 2023
Published online: Oct 13, 2023
Published in print: Jan 1, 2024
Discussion open until: Mar 13, 2024

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Visiting Assistant Professor, Nathan M. Bisk College of Business, Florida Institute of Technology, 150 W. University Blvd., Melbourne, FL 32901. ORCID: https://orcid.org/0000-0003-2078-2700. Email: [email protected]

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