Maintenance Planning For The Reliability Maximization In A Large System With Vagueness In The Reliability Values Of Some Components

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Abstract

This paper tackles the problem to single out the maintenance actions to be executed on a production system during the planned stop of given length. In detail, from a reliability viewpoint the system is assimilated as a series-parallel multi-component system and the maintenance actions need to maximize the system reliability up to the next planned stop. Moreover, it is assumed that some components reliability values are affected by vagueness within a given range. To solve the considered problem, an exact dynamic programming algorithm suitable to quickly point out the maintenance scheduling is developed and, moreover, it is formulated a proper parameter able to express the robustness of the obtained optimal solutions. Finally, a numerical example with reference to a complex system composed by a large number of components is reported.
Lingua originaleEnglish
pagine (da-a)-
Numero di pagine14
RivistaInternational Journal of Applied Engineering Research
Volume10
Stato di pubblicazionePublished - 2015

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Planning
Dynamic programming
Large scale systems
Scheduling

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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title = "Maintenance Planning For The Reliability Maximization In A Large System With Vagueness In The Reliability Values Of Some Components",
abstract = "This paper tackles the problem to single out the maintenance actions to be executed on a production system during the planned stop of given length. In detail, from a reliability viewpoint the system is assimilated as a series-parallel multi-component system and the maintenance actions need to maximize the system reliability up to the next planned stop. Moreover, it is assumed that some components reliability values are affected by vagueness within a given range. To solve the considered problem, an exact dynamic programming algorithm suitable to quickly point out the maintenance scheduling is developed and, moreover, it is formulated a proper parameter able to express the robustness of the obtained optimal solutions. Finally, a numerical example with reference to a complex system composed by a large number of components is reported.",
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AU - Passannanti, Gianfranco

AU - Galante, Giacomo Maria

AU - Lupo, Toni

AU - Certa, Antonella

PY - 2015

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N2 - This paper tackles the problem to single out the maintenance actions to be executed on a production system during the planned stop of given length. In detail, from a reliability viewpoint the system is assimilated as a series-parallel multi-component system and the maintenance actions need to maximize the system reliability up to the next planned stop. Moreover, it is assumed that some components reliability values are affected by vagueness within a given range. To solve the considered problem, an exact dynamic programming algorithm suitable to quickly point out the maintenance scheduling is developed and, moreover, it is formulated a proper parameter able to express the robustness of the obtained optimal solutions. Finally, a numerical example with reference to a complex system composed by a large number of components is reported.

AB - This paper tackles the problem to single out the maintenance actions to be executed on a production system during the planned stop of given length. In detail, from a reliability viewpoint the system is assimilated as a series-parallel multi-component system and the maintenance actions need to maximize the system reliability up to the next planned stop. Moreover, it is assumed that some components reliability values are affected by vagueness within a given range. To solve the considered problem, an exact dynamic programming algorithm suitable to quickly point out the maintenance scheduling is developed and, moreover, it is formulated a proper parameter able to express the robustness of the obtained optimal solutions. Finally, a numerical example with reference to a complex system composed by a large number of components is reported.

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