A numerical study of Markov decision process algorithms for multi-component replacement problems

DOI10.1016/j.ejor.2021.07.007zbMath1495.90058OpenAlexW3180484484MaRDI QIDQ2670522

Bo Friis Nielsen, Murat Kulahci, Anders Reenberg Andersen, Jesper Fink Andersen

Publication date: 11 March 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.07.007

zbMATH Keywords

dynamic programmingMarkov decision processmaintenancemulti-component systemnumerical study

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40) Mathematical modeling or simulation for problems pertaining to operations research and mathematical programming (90-10)

Related Items (3)

A data-driven approach for condition-based maintenance optimization ⋮ Considering greenhouse gas emissions in maintenance optimisation ⋮ A hybrid repair-replacement policy in the proportional hazards model

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