Maintenance optimization for railway infrastructure networks

Zhou Su

Research output: ThesisDissertation (TU Delft)

32 Downloads (Pure)

Abstract

Maintenance is crucial for the proper functioning and lifetime extension of a railway infrastructure network, which is composed of various infrastructures with different functions. In this thesis we develop robust and tractable model-based approaches for maintenance optimization of railway infrastructure networks. In addition, we develop a compact formulation for a variant of the multiple Traveling Salesman Problem (TSP), that can be applied to optimal scheduling of maintenance crews for a railway network, and a systematic numerical solution method for reverse Stackelberg game with incomplete information, which can be viewed as the framework for optimal maintenance contract design.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • De Schutter, B.H.K., Supervisor
  • Baldi, S., Advisor
Award date13 Sep 2018
Print ISBNs978-90-5584-238-4
DOIs
Publication statusPublished - 2018

Keywords

  • maintenance optimization
  • railway infrastructures
  • travelling salesman problem
  • model predictive control
  • reverse Stackelberg games

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