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

DRENT, Melvin; DRENT, Collin; Kapodistria, Stella; ARTS, Joachim

doi:10.1287/msom.2022.1149

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Article (Scientific journals)

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

DRENT, Melvin; DRENT, Collin; Kapodistria, Stella et al.

2022 • In Manufacturing and Service Operations Management, 25 (1), p. 235-253

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/51802

DOI
10.1287/msom.2022.1149

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Keywords :

maintenance; data driven operations; Bayesian learning

Disciplines :

Mechanical engineering
Quantitative methods in economics & management
Management information systems
Production, distribution & supply chain management
Engineering, computing & technology: Multidisciplinary, general & others

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)

External co-authors :

yes

Language :

English

Title :

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

Publication date :

2022

Journal title :

Manufacturing and Service Operations Management

ISSN :

1523-4614

eISSN :

1526-5498

Publisher :

Institute for Operations Research and the Management Sciences, United States

Volume :

Issue :

Pages :

235-253

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences

FnR Project :

FNR12451704 - Dual-sourcing Strategies That Create Carbon Efficient Supply Chains, 2018 (01/03/2018-31/10/2021) - Melvin Drent

Available on ORBilu :

since 28 July 2022

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