Analysis of Project Duration Uncertainty using Global Sensitivity Analysis
Keywords:
Managing project, project duration, global sensitivity analysis, scheduleAbstract
Estimating the duration of a project is important in project management. The dependency structure matrix has been used to estimate the duration of projects, and it has proven to be useful especially in complex projects, for example project with activity overlapping. This estimate is based on the duration of the activities, their interrelationships and the permitted level of overlap. However, these variables have uncertainty that generate uncertainty in the duration of the project. The methods of global sensitivity analysis Morris and Sobol' are used in this study to identify the key activities that affect the uncertainty in the duration of the project. It is shown that adequate control of the uncertainty in these activities significantly reduces the uncertainty in the duration of the project. Examples with and without overlapping are used to explain the methodologies.
References
Adeyinka A.L., (2007). Applications of Sensitivity Analysis in Petroleum Engineering, Thesis University of Texas at Austin.
Browning, T.R. (2001). Applying the design structure matrix to system decomposition and integration problems: A review and new directions. IEEE Transactions on Engineering management, 48 (3), 292-306.
Confalonieri R., Bellocchi G., Bregaglio S., Donatelli M., & Acutis M., (2010). Comparison of sensitivity analysis techniques: a case study with the rice model WARM, Ecological Modelling, 221, 1897 -1906.
Gálvez E.D., S.F. Capuz-Rizo, & J.B. Ordieres, (2012). Study of the uncertainty of task programming using the dependency structure matrix, Información Tecnológica, 23(1), 19-34.
Gálvez, E.D., Ordieres, J.B., & Capuz-Rizo, S.F., (2015). Evaluation of Project Duration Uncertainty using the Dependency Structure Matrix and Monte Carlo Simulation, Revista de la Construcción, submitted.
Herroelen W., & R. Leus, (2005). Project scheduling under uncertainty: survey and research potentials, European J. of operational research, 165, 289-306.
Homma T., & Saltelli A., (1996). Importance measures in global sensitivity analysis of nonlinear models, Reliability Engineering & System Safety, 52, 1-17.
Helton, J.C., Johnson, J.D., Sallaberry, C.J., & Storlie, C.B., (2006). Survey of sampling-based methods for uncertainty and sensitivity analysis, Reliability Engineering & System Safety, 91, 1175-1209.
Maheswari J.U., & K. Varghese, (2005). Project scheduling using dependency structure matrix, International Journal of Project Management, 23 (3), 223-230.
Morris M.D., (1991). Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 161-174.
Perminova O., M. Gustafsson, & K. Wikström, (2007). Defining uncertainty in projects-a new perspective, Int. J. Proy. Management, 26, 73-79.
Pujol, G., Iooss, B., Janon A., (2014). Sensitivity: Sensitivity Analysis. R package version 1.10.1. http://CRAN.R-project.org/package=sensitivity
R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/
Shi Q., & T. Blomquist, (2012). A new approach for project scheduling using fuzzy dependency structure matrix, International Journal of Project Management, 30, 503-510.
Srour I.M., Abdul-Malak M.U., Yessine A.A., & Ramadan M., (2013). A methodology for scheduling overlapped design activities based on dependency information, Automation in Construction, 29, 1-11.
Saltelli A., Ratto M., Andres T., Campolongo F., Cariboni J., Gatelli D., Saisana M., & Tarantola S., (2008). Global sensitivity Analysis: The primer, John Wiley & Sons Ltd.
Tienda P., & M. Romano, (2011). A matrix algorithm RUPSP/GRUPSP “no splitting allowed” for production planning under Lean Construction methodology based on production processes, Revista de la Construcción, 10 (2), 90-103.
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Copyright (c) 2022 Edelmira Ahumada Galvez, Joaquín Ordieres-Meré, Salvador F. Capuz-Rizo

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