Forecasting Project Duration in the Face of Disruptive Events: A Resource-Based Approach
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 5
Abstract
Disruptive events are the main source of delays in projects. A key task for construction managers is to revise the project schedule plan based on time delays caused by these events. Consequently, project management research has developed various forecasting methods to evaluate the prospective impact of disruptive events on project completion time. This article tackles three shortcomings of the available forecasting methods: (1) the extrapolative and judgmental nature of these methods, (2) the lack of an explicit focus on project resources, and (3) the lack of attention to the disproportionate impact of disruptive events on project resources. The method developed in this study takes into account the detrimental effects of disruptive events on project resources in the case where there is no historical precedence. In this method, project resources are first mapped into reliability block diagrams (RBDs) to develop a stochastic variable that reflects the impact of resource shortages on project activity. A Monte Carlo simulation analysis is performed to simulate the uncertainty in acquiring resources during disruptions. The impact of resource shortages on the completion time of project activity is then quantified by means of the stochastic variable developed in the first step. The proposed method is demonstrated in a real-life construction project. The validation results prove the better performance of the new method in forecasting time delays caused by unexpected events compared to the existing methods. The proposed method assists construction managers in revising project schedule plans and provides benefits in framing and solving problems that arise when disruptions occur.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
References
Abbasi, S., K. Taghizade, and E. Noorzai. 2020. “BIM-based combination of takt time and discrete event simulation for implementing just in time in construction scheduling under constraints.” J. Constr. Eng. Manage. 146 (12): 04020143. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001940.
Ahmadu, H. A., A. D. Ibrahim, Y. M. Ibrahim, and K. J. Adogbo. 2020. “Incorporating aleatory and epistemic uncertainties in the modelling of construction duration.” Eng. Constr. Archit. Manage. 2020 (Apr): 27. https://doi.org/10.1108/ECAM-06-2019-0304.
Anastasopoulos, P. C., S. Labi, A. Bhargava, and F. L. Mannering. 2012. “Empirical assessment of the likelihood and duration of highway project time delays.” J. Constr. Eng. Manage. 138 (3): 390–398. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000437.
Apipattanavis, S., K. Sabol, K. R. Molenaar, B. Rajagopalan, Y. Xi, B. Blackard, and S. Patil. 2010. “Integrated framework for quantifying and predicting weather-related highway construction delays.” J. Constr. Eng. Manage. 136 (11): 1160–1168. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000199.
Baldwin, A., and D. Bordoli. 2014. Handbook for construction planning and scheduling. West Sussex, UK: Wiley.
Ballesteros-Pérez, P., A. Cerezo-Narváez, M. Otero-Mateo, A. Pastor-Fernández, J. Zhang, and M. Vanhoucke. 2020. “Forecasting the project duration average and standard deviation from deterministic schedule information.” Appl. Sci. 10 (2): 654. https://doi.org/10.3390/app10020654.
Barraza, G. A., W. E. Back, and F. Mata. 2004. “Probabilistic forecasting of project performance using stochastic S curves.” J. Constr. Eng. Manage. 130 (1): 25–32. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(25).
Batselier, J., and M. Vanhoucke. 2015. “Evaluation of deterministic state-of-the-art forecasting approaches for project duration based on earned value management.” Int. J. Project Manage. 33 (7): 1588–1596. https://doi.org/10.1016/j.ijproman.2015.04.003.
Batselier, J., and M. Vanhoucke. 2017. “Improving project forecast accuracy by integrating earned value management with exponential smoothing and reference class forecasting.” Int. J. Project Manage. 35 (1): 28–43. https://doi.org/10.1016/j.ijproman.2016.10.003.
Bourouni, K. 2013. “Availability assessment of a reverse osmosis plant: Comparison between reliability block diagram and fault tree analysis methods.” Desalination 313 (2013): 66–76. https://doi.org/10.1016/j.desal.2012.11.025.
Carnevali, L., L. Ciani, A. Fantechi, G. Gori, and M. Papini. 2021. “An efficient library for reliability block diagram evaluation.” Appl. Sci. 11 (9): 4026. https://doi.org/10.3390/app11094026.
Caron, F., F. Ruggeri, and B. Pierini. 2016. “A Bayesian approach to improving estimate to complete.” Int. J. Project Manage. 34 (8): 1687–1702. https://doi.org/10.1016/j.ijproman.2016.09.007.
Chen, H. L. 2014. “Improving forecasting accuracy of project earned value metrics: Linear modeling approach.” J. Manage. Eng. 30 (2): 135–145. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000187.
Chen, S. M., P. H. Chen, and L. M. Chang. 2012. “Simulation and analytical techniques for construction resource planning and scheduling.” Autom. Constr. 21 (2012): 99–113. https://doi.org/10.1016/j.autcon.2011.05.018.
Childs, J. 2012. “Reliability design tools.” In Design for reliability, edited by D. Reheja and L. J. Gullo, 15–35. Hoboken, NJ: Wiley.
Christodoulou, S., G. Ellinas, and P. Aslani. 2009. “Entropy-based scheduling of resource-constrained construction projects.” Autom. Constr. 18 (7): 919–928. https://doi.org/10.1016/j.autcon.2009.04.007.
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 (2019): 68–78. https://doi.org/10.1016/j.autcon.2018.11.030.
Elshaer, R. 2013. “Impact of sensitivity information on the prediction of project’s duration using earned schedule method.” Int. J. Project Manage. 31 (4): 579–588. https://doi.org/10.1016/j.ijproman.2012.10.006.
Franco-Duran, D. M., and J. M. de la Garza. 2020. “Performance of resource-constrained scheduling heuristics.” J. Constr. Eng. Manage. 146 (4): 04020026. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001804.
Geraldi, J. G., L. Lee-Kelley, and E. Kutsch. 2010. “The Titanic sunk, so what? Project manager response to unexpected events.” Int. J. Project Manage. 28 (6): 547–558. https://doi.org/10.1016/j.ijproman.2009.10.008.
Gondia, A., A. Siam, W. El-Dakhakhni, and A. H. Nassar. 2020. “Machine learning algorithms for construction projects delay risk prediction.” J. Constr. Eng. Manage. 146 (1): 04019085. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001736.
Guerrero, M. A., Y. Villacampa, and A. Montoyo. 2014. “Modeling construction time in Spanish building projects.” Int. J. Project Manage. 32 (5): 861–873. https://doi.org/10.1016/j.ijproman.2013.09.009.
Guida, P. L., and G. Sacco. 2019. “A method for project schedule delay analysis.” Comput. Ind. Eng. 128 (2019): 346–357. https://doi.org/10.1016/j.cie.2018.12.046.
Hällgren, M., and T. L. Wilson. 2008. “The nature and management of crises in construction projects: Projects-as-practice observations.” Int. J. Project Manage. 26 (8): 830–838. https://doi.org/10.1016/j.ijproman.2007.10.005.
Hegab, M. Y., and G. R. Smith. 2007. “Delay time analysis in microtunneling projects.” J. Constr. Eng. Manage. 133 (2): 191–195. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:2(191).
Hu, C., and D. Liu. 2018. “Improved critical path method with trapezoidal fuzzy activity durations.” J. Constr. Eng. Manage. 144 (9): 04018090. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001541.
Jakkula, B., and G. R. Mandela. 2021. “Reliability block diagram (RBD) and fault tree analysis (FTA) approaches for estimation of system reliability and availability—A case study.” Int. J. Q. Reliab. Manage. 38 (3): 682–703. https://doi.org/10.1108/IJQRM-05-2019-0176.
Jallan, Y., E. Brogan, B. Ashuri, and C. M. Clevenger. 2019. “Application of natural language processing and text mining to identify patterns in construction-defect litigation cases.” J. Leg. Aff. Dispute Resolut. Eng. Constr. 11 (4): 04519024. https://doi.org/10.1061/(ASCE)LA.1943-4170.0000308.
Jin, J., L. Pang, S. Zhao, and B. Hu. 2015. “Quantitative assessment of probability of failing safely for the safety instrumented system using reliability block diagram method.” Ann. Nucl. Energy 77 (2015): 30–34. https://doi.org/10.1016/j.anucene.2014.11.009.
Khamooshi, H., and H. Golafshani. 2014. “EDM: Earned duration management, a new approach to schedule performance management and measurement.” Int. J. Project Manage. 32 (6): 1019–1041. https://doi.org/10.1016/j.ijproman.2013.11.002.
Kim, B. C., and K. F. Reinschmidt. 2009. “Probabilistic forecasting of project duration using Bayesian inference and the beta distribution.” J. Constr. Eng. Manage. 135 (3): 178–186. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(178).
Kim, B. C., and K. F. Reinschmidt. 2010. “Probabilistic forecasting of project duration using Kalman filter and the earned value method.” J. Constr. Eng. Manage. 136 (8): 834–843. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000192.
Koulinas, G. K., A. S. Xanthopoulos, T. T. Tsilipiras, and D. E. Koulouriotis. 2020. “Schedule delay risk analysis in construction projects with a simulation-based expert system.” Buildings 10 (8): 134. https://doi.org/10.3390/buildings10080134.
Kutsch, E., I. Djabbarov, and M. Hall. 2021. “How managers frame and make sense of unexpected events in project implementation.” Int. J. Project Manage. 2021 (May): 10. https://doi.org/10.1016/j.ijproman.2021.04.002.
Kwak, Y. H., and F. T. Anbari. 2012. “History, practices, and future of earned value management in government: Perspectives from NASA.” Project Manage. J. 43 (1): 77–90. https://doi.org/10.1002/pmj.20272.
Lambrechts, O., E. Demeulemeester, and W. Herroelen. 2011. “Time slack-based techniques for robust project scheduling subject to resource uncertainty.” Ann. Oper. Res. 186 (1): 443–464. https://doi.org/10.1007/s10479-010-0777-z.
Larsson, R., and M. Rudberg. 2019. “Impact of weather conditions on in situ concrete wall operations using a simulation-based approach.” J. Constr. Eng. Manage. 145 (7): 05019009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001662.
Li, J., O. Moselhi, and S. Alkass. 2006. “Forecasting project status by using fuzzy logic.” J. Constr. Eng. Manage. 132 (11): 1193–1202. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:11(1193).
Lipke, W. 2011. “Schedule adherence and rework.” PM World Today 13 (7): 1–14.
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.
Lu, M., and H. C. Lam. 2008. “Critical path scheduling under resource calendar constraints.” J. Constr. Eng. Manage. 134 (1): 25–31. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:1(25).
Martens, A., and M. Vanhoucke. 2020. “Integrating corrective actions in project time forecasting using exponential smoothing.” J. Manage. Eng. 36 (5): 04020044. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000806.
O’Connor, J. T., and B. D. Mock. 2019. “Construction, commissioning, and startup execution: Problematic activities on capital projects.” J. Constr. Eng. Manage. 145 (4): 04019009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001621.
Park, J., H. Cai, P. S. Dunston, and H. Ghasemkhani. 2017. “Database-supported and web-based visualization for daily 4D BIM.” J. Constr. Eng. Manage. 143 (10): 04017078. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001392.
Pewdum, W., T. Rujirayanyong, and V. Sooksatra. 2009. “Forecasting final budget and duration of highway construction projects.” Eng. Constr. Archit. Manage. 16 (6): 544–557. https://doi.org/10.1108/09699980911002566.
Rausand, M. 2014. Reliability of safety-critical systems: Theory and applications. Hoboken, NJ: Wiley.
Roghabadi, M. A., and O. Moselhi. 2020. “Forecasting project duration using risk-based earned duration management.” Int. J. Constr. Manage. 2020 (Oct): 1–11. https://doi.org/10.1080/15623599.2020.1840272.
Servranckx, T., M. Vanhoucke, and T. Aouam. 2021. “Practical application of reference class forecasting for cost and time estimations: Identifying the properties of similarity.” Eur. J. Oper. Res. 295 (3): 1161–1179. https://doi.org/10.1016/j.ejor.2021.03.063.
Shaheen, A. A., A. R. Fayek, and S. M. AbouRizk. 2007. “Fuzzy numbers in cost range estimating.” J. Constr. Eng. Manage. 133 (4): 325–334. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:4(325).
Vairaktarakis, G. L. 2003. “The value of resource flexibility in the resource-constrained job assignment problem.” Manage. Sci. 49 (6): 718–732. https://doi.org/10.1287/mnsc.49.6.718.16027.
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.
Wauters, M., and M. Vanhoucke. 2017. “A nearest neighbour extension to project duration forecasting with artificial intelligence.” Eur. J. Oper. Res. 259 (3): 1097–1111. https://doi.org/10.1016/j.ejor.2016.11.018.
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.
Yan, X., and H. Zhang. 2021. “Computer vision–Based disruption management for prefabricated building construction schedule.” J. Comput. Civ. Eng. 35 (6): 04021027. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000990.
Zarghami, S. A. 2021. “A reflection on the impact of the COVID-19 pandemic on Australian businesses: Toward a taxonomy of vulnerabilities.” Int. J. Disaster Risk Reduct. 64 (Oct): 1–13. https://doi.org/10.1016/j.ijdrr.2021.102496.
Zarghami, S. A., and J. Dumrak. 2021. “Aleatory uncertainty quantification of project resources and its application to project scheduling.” Reliab. Eng. Syst. Saf. 211 (Jul): 107637. https://doi.org/10.1016/j.ress.2021.107637.
Zarghami, S. A., and A. Gorod. 2019. “Scheduling toolset.” In Evolving toolbox for complex project management, edited by A., Gorod, L. Hallo, V. Ireland, and I. Gunawan, 43–60. Boca Raton, FL: CRC Press.
Zarghami, S. A., I. Gunawan, G. Corral de Zubielqui, and B. Baroudi. 2020a. “Incorporation of resource reliability into critical chain project management buffer sizing.” Int. J. Prod. Res. 58 (20): 6130–6144. https://doi.org/10.1080/00207543.2019.1667041.
Zarghami, S. A., I. Gunawan, and F. Schultmann. 2018. “System dynamics modelling process in water sector: A review of research literature.” Syst. Res. Behav. Sci. 35 (6): 776–790. https://doi.org/10.1002/sres.2518.
Zarghami, S. A., I. Gunawan, and F. Schultmann. 2020b. “Exact reliability evaluation of infrastructure networks using graph theory.” Qual. Reliab. Eng. Int. 36 (2): 498–510. https://doi.org/10.1002/qre.2574.
Zwikael, O., S. Globerson, and T. Raz. 2000. “Evaluation of models for forecasting the final cost of a project.” Project Manage. J. 31 (1): 53–57. https://doi.org/10.1177/875697280003100108.
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Journal of Construction Engineering and Management
Volume 148 • Issue 5 • May 2022
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© 2022 American Society of Civil Engineers.
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Received: Sep 2, 2021
Accepted: Dec 16, 2021
Published online: Mar 10, 2022
Published in print: May 1, 2022
Discussion open until: Aug 10, 2022
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