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Data-driven railway maintenance scheduling based on track condition prediction
Sedghi, Mahdieh
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
ORCID iD:
0000-0001-9681-3804
Vanhatalo, Erik
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
ORCID iD:
0000-0003-1473-3670
Migdalas, Athanasios
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
ORCID iD:
0000-0001-8473-3663
Kulahci, Murat
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
ORCID iD:
0000-0003-4222-9631
Kauppila, Osmo
University of Oulu, Oulu, Finland.
Show others and affiliations
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 & Logistics
Identifiers
URN:
urn:nbn:se:ltu:diva-75424
OAI: oai:DiVA.org:ltu-75424
DiVA, 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:
2025-10-22
Bibliographically approved
Open Access in DiVA
No full text in DiVA
Other links
https://ihha2019.com/
Authority records
Sedghi, Mahdieh
Vanhatalo, Erik
Migdalas, Athanasios
Kulahci, Murat
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Vanhatalo, Erik
Migdalas, Athanasios
Kulahci, Murat
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Reliability and Maintenance
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modern-language-association-8th-edition
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modern-language-association-8th-edition
vancouver
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