Abstract
Industrial equipment is submitted throughout its life to an inevitable succession of incidents that affect performance and modify operating capacity. In order to maintain its entrusted activity under the best possible conditions, certain actions of maintenance and repairs take place which, in a some way, modify the conditions under which it carries out its work. Normally, knowledge of the elements forming the equipment and experience accumulated by those responsible for its operation, allows in some way for the establishment of certain estimates on the situation in which the equipment is at any given moment. When there is a need to formalise the <<experience>> through quantified information, it is customary to resort to gathering data on equipment performance by drawing up statistics which later will be used in many diverse ways, as this will be incorporated into the models that will be constructed, the nature of which will vary substantially depending on the objectives sought.
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References
A. Kaufmann: Modèles mathématiques pour la stimulation inventive, Albin Michel ParÃs, 1979 page 53.
For this development we have followed the works of A. Kaufmann included mainly in: Métodos y modelos de la investigación de operaciones, Volume I, Cecsa, Mexico, 1972, pages 249–278.
A. Kaufmann and J. Gil Aluja: Introducción a la teorÃa de los subconjuntos borrosos a la gestión de las empresas, Milladoiro, Santiago de Compostela, 1986, pages 93–111.
These aspects were treated in A. Kaufmann: <<Le remplacement des équipements dans l’incertain>>, Note de travail, number 153, October, 1985, pages 1–5.
This data and corresponding example have been taken from A. Kaufmann: <<Le remplacement des équipements dans l’incertain>>, Note de travail Number 153 October, 1985, page 4.
Obviously, operators \(\hat +\) maintain their increasing monotony.
In the continuous field function r’(t) at the same time complies p(u) = r(u) - r(u-1) as defined in the second section of this chapter.
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© 1999 Springer Science+Business Media Dordrecht
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Gil-Aluja, J. (1999). Equipment performance. In: Investment in Uncertainty. Applied Optimization, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5328-7_17
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DOI: https://doi.org/10.1007/978-94-011-5328-7_17
Publisher Name: Springer, Dordrecht
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