Print Email Facebook Twitter Scheduling under uncertainty Title Scheduling under uncertainty: Attaining flexibility, robustness and stability Author Mountakis, Kiriakos Simon (TU Delft Algorithmics) Contributor Witteveen, C. (promotor) Klos, T.B. (copromotor) Degree granting institution Delft University of Technology Date 2018-03-28 Abstract The research presented in this thesis is part of the Rolling Stock Life Cycle Logistics applied research and development program, conducted by NedTrain. As a company, NedTrain belongs to Nederlandse Spoorwegen (NS; the principal railway company in the Netherlands) and provides maintenance services for the NS train-fleet. The aim of this program is to enhance NedTrain’s competitiveness as a rolling-stock maintenance services provider. Our work focuses on the operational aspects of this R&D program, motivated by the challenge of scheduling tasks (or operations) in a NedTrain maintenance workshop, such that trains are delivered on-time for circulation in the rail network. Most tasks in the workshop have uncertain durations (or processing times), which complicates the scheduling process. Subject simple temporal networkflexibilityrobustnessstabilityscheduling under encertaintyresource constrained project schedulingmonte carlo sampling To reference this document use: https://doi.org/10.4233/uuid:4e63aefa-04cf-4a63-a5b0-e48d6e227390 Part of collection Institutional Repository Document type doctoral thesis Rights © 2018 Kiriakos Simon Mountakis Files PDF dissertation.pdf 3.65 MB Close viewer /islandora/object/uuid:4e63aefa-04cf-4a63-a5b0-e48d6e227390/datastream/OBJ/view