Scheduling under uncertainty: Attaining flexibility, robustness and stability

Kiriakos Simon Mountakis

Research output: ThesisDissertation (TU Delft)

76 Downloads (Pure)

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.
Original languageEnglish
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Witteveen, C., Supervisor
  • Klos, Tomas, Advisor
Award date28 Mar 2018
DOIs
Publication statusPublished - 2018

Keywords

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

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