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.
Original languageEnglish
Awarding Institution
Award date28 Mar 2018
StatePublished - 2018

    Research areas

  • simple temporal network, flexibility, robustness, stability, scheduling under encertainty, resource constrained project scheduling, monte carlo sampling

ID: 39918363