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oai:uvadoc.uva.es:10324/481542021-08-29T18:31:16Zcom_10324_1180com_10324_931com_10324_894col_10324_1375

00925njm 22002777a 4500 dc Acebes Senovilla, Fernando author Poza Garcia, David Jesús author González Varona, José Manuel author Pajares Gutiérrez, Javier author López Paredes, Adolfo author 2021 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. Computers & Industrial Engineering, 2021, vol. 160, 107537 0360-8352 https://uvadoc.uva.es/handle/10324/48154 10.1016/j.cie.2021.107537 On the project risk baseline: Integrating aleatory uncertainty into project scheduling