Train maintenance personnel shift scheduling: case study

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dc.authoridEren, Tamer/0000-0001-5282-3138
dc.authoridGencer, Muhammed Abdullah/0000-0001-9955-5468
dc.authoridALAKAS, Haci Mehmet/0000-0002-9874-7588
dc.contributor.authorGencer, Muhammed Abdullah
dc.contributor.authorEren, Tamer
dc.contributor.authorAlakas, Haci Mehmet
dc.date.accessioned2025-01-21T16:55:41Z
dc.date.available2025-01-21T16:55:41Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this study, the shift scheduling problem of the personnel who maintain the 324 trains operating on the lines of the Ankara Metro, which carry approximately 10 million passengers per month, is discussed. In the problem, daily personnel needs and personnel qualifications are evaluated together according to the fault prediction. Firstly, a total of 1721 fault data for 181 days is analyzed, and the prediction is made according to 8 prediction methods. Then, a 30-day fault prediction is made with the prediction method, which has the least error rate. According to the number of faults obtained as a result of the prediction, the daily personnel requirement is determined. Then, according to the type of fault, the personnel are classified as electronics, electromechanics, and mechanics. It is aimed at distributing the personnel evenly to the shifts. The goal programming model is used to solve the problem, allowing us to add more than one goal to the model. When the solution results of the problem are compared with the current schedule, it is seen that the monthly total working hours are distributed equally, and the shifts are distributed fairly, and a necessary balance is achieved in the shifts according to the personnel qualifications. It is thought that this study, in which personnel qualifications and fault prediction are evaluated together, will contribute to the literature on railway maintenance personnel scheduling.
dc.identifier.doi10.1007/s10696-023-09495-w
dc.identifier.endpage566
dc.identifier.issn1936-6582
dc.identifier.issn1936-6590
dc.identifier.issue2
dc.identifier.pmid37363700
dc.identifier.scopus2-s2.0-85153753398
dc.identifier.scopusqualityQ2
dc.identifier.startpage533
dc.identifier.urihttps://doi.org/10.1007/s10696-023-09495-w
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25804
dc.identifier.volume36
dc.identifier.wosWOS:000978285100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofFlexible Services and Manufacturing Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectFault prediction; Goal programming; Personnel scheduling; Railway; Train maintenance
dc.titleTrain maintenance personnel shift scheduling: case study
dc.typeArticle

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