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Titre: | Optimal policy for the replacement of industrial systems subject to technological obsolescence using genetic algorithm |
Auteur(s): | Mellal, Mohamed Arezki Adjerid, Smail Benazzouz, Djamel Berrazouane, Sofiane Williams, Edward J. |
Mots-clés: | Technological obsolescence Industrial systems Replacement policy Failure frequency Safety/environment factors Genetic algorithm (GA) |
Date de publication: | 2013 |
Collection/Numéro: | Acta Polytechnica Hungarica / Vol.10, N°1 (2013);pp. 197-208 |
Résumé: | The technological obsolescence of industrial systems is characterized by the
existence of challenger units possessing identical functionalities but with improved
performance. This paper aims to define a new approach that makes it possible to obtain the
optimal number of obsolete industrial systems which should be replaced by new-type units.
This approach presents a new point of view compared with previous works available in the
literature. The main idea and the originality of our approach is that we apply a genetic
algorithm (GA) by considering the failure frequency, the influence of the
environment/safety factors of the old-type systems and the purchase/implementation cost of
the new-type units. These parameters are introduced in order to optimize this type of
replacement in the context of engineering |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2857 |
ISSN: | 1785-8860 |
Collection(s) : | Publications Internationales
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