Scheduling under uncertainty

Mountakis, Kiriakos Simon

doi:10.4233/4e63aefa-04cf-4a63-a5b0-e48d6e227390

Scheduling under uncertainty

Attaining flexibility, robustness and stability

Doctoral thesis (2018)

Authors

Kiriakos Simon Mountakis Algorithmics -

Research Group

Algorithmics () (TU Delft)

DOI: https://doi.org/10.4233/uuid:4e63aefa-04cf-4a63-a5b0-e48d6e227390

Robustness Stability Simple temporal network Flexibility Scheduling under encertainty Resource constrained project scheduling Monte carlo sampling

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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Algorithmics

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.

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