Abstract
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.
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Robert, T.P., Shahabudeen, P. Genetic algorithms for cost-effective maintenance of a reactor-regenerator system. Int J Adv Manuf Technol 23, 846–856 (2004). https://doi.org/10.1007/s00170-002-1484-y
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DOI: https://doi.org/10.1007/s00170-002-1484-y