A stochastic dynamic programming approach for the machine replacement problem

This paper addresses both the modeling and the resolution of the replacement problem for a population of machines. The main objective is the computation of a minimum cost replacement policy, which, based on the status of each machine, determines whether one or more machines have to be replaced over...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 118; s. 105638
Hlavní autoři:	Forootani, Ali, Zarch, Majid Ghaniee, Tipaldi, Massimo, Iervolino, Raffaele
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2023
Témata:	Dynamic Programming Least-Squares Temporal Difference Machine replacement problem Markov Decision Process Monte Carlo Simulations Least-Squares Temporal Difference Markov Decision Process Monte Carlo Simulations Dynamic Programming Machine replacement problem
ISSN:	0952-1976, 1873-6769
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