RT Journal Article
T1 On the project risk baseline: Integrating aleatory uncertainty into project scheduling
A1 Acebes Senovilla, Fernando
A1 Poza García, David
A1 González-Varona, José Manuel
A1 Pajares Gutiérrez, Javier
A1 López-Paredes, Adolfo
K1 Evaluación del riesgo
AB Obtaining a viable schedule baseline that meets all project constraints is one of the main issues for project managers. The literature on this topic focuses mainly on methods to obtain schedules that meet resource restrictions and, more recently, financial limitations. The methods provide different viable schedules for the same project, and the solutions with the shortest duration are considered the best-known schedule for that project. However, no tools currently select which schedule best performs in project risk terms. To bridge this gap, this paper aims to propose a method for selecting the project schedule with the highest probability of meeting the deadline of several alternative schedules with the same duration. To do so, we propose integrating aleatory uncertainty into project scheduling by quantifying the risk of several execution alternatives for the same project. The proposed method, tested with a well-known repository for schedule benchmarking, can be applied to any project type to help managers to select the project schedules from several alternatives with the same duration, but the lowest risk.
PB Elsevier
SN 03608352
YR 2021
FD 2021-10-01
LK https://hdl.handle.net/10630/33398
UL https://hdl.handle.net/10630/33398
LA eng
NO Acebes, F., Poza, D., Gonzalez-Varona, J. M., Pajares, J., & Lopez-Paredes, A. (2021). On the project risk baseline: Integrating aleatory uncertainty into project scheduling. Computers & Industrial Engineering, 160, 107537.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 25 feb 2026