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00925njm 22002777a 4500 dc Acebes Senovilla, Fernando author Poza García, David author González-Varona, José Manuel author Pajares Gutiérrez, Javier author López-Paredes, Adolfo author 2021-10-01 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. 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. 03608352 https://hdl.handle.net/10630/33398 10.1016/j.cie.2021.107537 Evaluación del riesgo On the project risk baseline: Integrating aleatory uncertainty into project scheduling