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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorHoogeveen, J.A.
dc.contributor.advisorAkker, J.M. van den
dc.contributor.authorOuden, J.W. den
dc.date.accessioned2018-03-28T17:01:23Z
dc.date.available2018-03-28T17:01:23Z
dc.date.issued2018
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/28881
dc.description.abstractTrain units are cleaned, inspected, and parked on shunting yards when not needed in service. One of the components of automatically generating plans for such a train service yard is to assign all tasks that need to be performed to personnel. These tasks are subject to release dates, deadlines, precedence constraints, and are situated at different locations at the shunting yard. We propose an approach using a greedy heuristic to obtain an initial solution, and a local search improvement step, optimizing a combination of the flexibility, fairness, and walking distances. The method is able to consistently find succesful results for realistic scenarios.
dc.description.sponsorshipUtrecht University
dc.format.extent1124786
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleGenerating robust schedules for train maintenance staff
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsstaff scheduling;local search;flexibility;robustness;simple temporal network;metaheuristic;maintenance
dc.subject.courseuuComputing Science


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