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Data-driven railway maintenance scheduling based on track condition prediction
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-9681-3804
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-1473-3670
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-4222-9631
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2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2019.
National Category
Reliability and Maintenance
Research subject
Quality technology and logistics
Identifiers
URN: urn:nbn:se:ltu:diva-75424OAI: oai:DiVA.org:ltu-75424DiVA, id: diva2:1341145
Conference
International Heavy Haul STS Conference (IHHA 2019), Narvik Norway, June 10-14, 2019
Available from: 2019-08-07 Created: 2019-08-07 Last updated: 2023-09-05Bibliographically approved

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https://ihha2019.com/

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Sedghi, MahdiehVanhatalo, ErikMigdalas, AthanasiosKulahci, Murat

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Sedghi, MahdiehVanhatalo, ErikMigdalas, AthanasiosKulahci, Murat
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