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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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 118; p. 105638
Main Authors:	Forootani, Ali, Zarch, Majid Ghaniee, Tipaldi, Massimo, Iervolino, Raffaele
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2023
Subjects:	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
Online Access:	Get full text
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