An Effective Approach For The Maintenance Scheduling In Large Systems With Required Reliability Level: A Case Study

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Abstract

This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with reference to a naval diesel propulsion unit.
Lingua originaleEnglish
Numero di pagine11
RivistaInternational Journal of Applied Engineering Research
Volume10
Stato di pubblicazionePublished - 2015

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Scheduling
Diesel propulsion
Preventive maintenance
Mathematical programming
Genetic algorithms
Costs

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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title = "An Effective Approach For The Maintenance Scheduling In Large Systems With Required Reliability Level: A Case Study",
abstract = "This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with reference to a naval diesel propulsion unit.",
author = "Toni Lupo and Gianfranco Passannanti and Antonella Certa and Galante, {Giacomo Maria}",
year = "2015",
language = "English",
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journal = "International Journal of Applied Engineering Research",
issn = "0973-4562",
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AU - Lupo, Toni

AU - Passannanti, Gianfranco

AU - Certa, Antonella

AU - Galante, Giacomo Maria

PY - 2015

Y1 - 2015

N2 - This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with reference to a naval diesel propulsion unit.

AB - This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with reference to a naval diesel propulsion unit.

UR - http://hdl.handle.net/10447/135264

M3 - Article

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JO - International Journal of Applied Engineering Research

JF - International Journal of Applied Engineering Research

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