Article (Scientific journals)
Data-driven preventive maintenance for a heterogeneous machine portfolio
Deprez, Laurens; Antonio, Katrien; ARTS, Joachim et al.
2023In Operations Research Letters
Peer Reviewed verified by ORBi
 

Files


Full Text
Data_driven_preventive_maintenance_for_a_heterogeneous_machine_portfolio-1.pdf
Author preprint (464 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
data pooling; Proportional Hazards; small data; preventive maintenance
Disciplines :
Production, distribution & supply chain management
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Deprez, Laurens
Antonio, Katrien
ARTS, Joachim  ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM)
Boute, Robert
External co-authors :
yes
Language :
English
Title :
Data-driven preventive maintenance for a heterogeneous machine portfolio
Publication date :
2023
Journal title :
Operations Research Letters
ISSN :
0167-6377
eISSN :
1872-7468
Publisher :
Elsevier, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Sustainable Development
Available on ORBilu :
since 06 January 2023

Statistics


Number of views
93 (4 by Unilu)
Number of downloads
84 (0 by Unilu)

Scopus citations®
 
3
Scopus citations®
without self-citations
2
OpenAlex citations
 
5
WoS citations
 
2

Bibliography


Similar publications



Contact ORBilu