Genetic algorithms for cost-effective maintenance of a reactor-regenerator system

Developments in automation and the resulting complexity of the systems involved have made the reliability of machines an important issue. This is especially true in the process industry, which is characterised by expensive specialised equipment and stringent environmental considerations. Nowadays, w...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2004-06, Vol.23 (11-12), p.846-856
Main Authors: Robert, T.Paul, Shahabudeen, P.
Format: Article
Language:English
Subjects:
Critical components
Genetic algorithms
Heuristic methods
Maintenance
MTBF
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Summary:Developments in automation and the resulting complexity of the systems involved have made the reliability of machines an important issue. This is especially true in the process industry, which is characterised by expensive specialised equipment and stringent environmental considerations. Nowadays, with profit margins decreasing, the need for good maintenance planning and control is obvious. Determining the best cost-effective maintenance, though, is computationally difficult, when the parameters, viz., the mean time between failures (MTBF) and the mean time to repair (MTTR) of the critical components in the system can be perturbed. In this paper, the use of metaheuristic, genetic algorithms to create cost effective maintenance in a process plant is presented.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-002-1484-y