Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation

Reference : Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Mechanical engineering Engineering, computing & technology : Multidisciplinary, general & others Business & economic sciences : Production, distribution & supply chain management Business & economic sciences : Management information systems Business & economic sciences : Quantitative methods in economics & management
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/51802

Title :	Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
Language :	English
Author, co-author :	Drent, Melvin [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM) >]
	Drent, Collin [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA) >]
	Kapodistria, Stella []
	Arts, Joachim [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM) >]
Publication date :	2022
Journal title :	Manufacturing and Service Operations Management
Publisher :	Institute for Operations Research and the Management Sciences
Volume :	25
Issue/season :	1
Pages :	235-253
Peer reviewed :	Yes
Audience :	International
ISSN :	1523-4614
e-ISSN :	1526-5498
Country :	United States
Keywords :	[en] maintenance ; data driven operations ; Bayesian learning
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/51802
FnR project :	FnR ; FNR12451704 > Melvin Drent > Carbon2Zero > Dual-sourcing Strategies That Create Carbon Efficient Supply Chains > 01/03/2018 > 31/10/2021 > 2018

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Open access	MSOM_2022_Drentetal.pdf		Author postprint	1 MB	View/Open

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