Stochastic Models of Critical Operations

Reference : Stochastic Models of Critical Operations


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Business & economic sciences : Production, distribution & supply chain management Business & economic sciences : Quantitative methods in economics & management Business & economic sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/50133

Title :	Stochastic Models of Critical Operations
Language :	English
Author, co-author :	Drent, Melvin [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > > ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA) > Luxembourg Centre for Logistics and Supply Chain Management (LCL)]
Publication date :	29-Oct-2021
Institution :	University of Luxembourg, Luxembourg
Name of the degree :	Docteur en Gestion
Supervisor :	Arts, Joachim
President of the jury :	Mantin, Binyamin
Member of the jury :	Löhndorf, Nils
	Sheffi, Yossi
	Boute, Robert
Keywords :	[en] inventory ; supply chain management ; maintenance ; dual-sourcing ; asymptotics ; spare parts
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/50133
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	ThesisMelvinDrent.pdf		Author postprint	2 MB	View/Open

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