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Optimal spare parts management for vessel maintenance scheduling
Condition-based monitoring is used as part of predictive maintenance to collect real-time information on the healthy status of a vessel engine, which allows for a more accurate estimation of the remaining life of an engine or its parts, as well as providing a warning for a potential failure of an en...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394336/ https://www.ncbi.nlm.nih.gov/pubmed/30880859 http://dx.doi.org/10.1007/s10479-018-2907-y |
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author | Kian, Ramez Bektaş, Tolga Ouelhadj, Djamila |
author_facet | Kian, Ramez Bektaş, Tolga Ouelhadj, Djamila |
author_sort | Kian, Ramez |
collection | PubMed |
description | Condition-based monitoring is used as part of predictive maintenance to collect real-time information on the healthy status of a vessel engine, which allows for a more accurate estimation of the remaining life of an engine or its parts, as well as providing a warning for a potential failure of an engine part. An engine failure results in delays and down-times in the voyage of a vessel, which translates into additional cost and penalties. This paper studies a spare part management problem for maintenance scheduling of a vessel operating on a given route that is defined by a sequence of port visits. When a warning on part failure is received, the problem decides when and to which port each part should be ordered, where the latter is also the location at which the maintenance operation would be performed. The paper describes a mathematical programming model of the problem, as well as a shortest path dynamic programming formulation for a single part which solves the problem in polynomial time complexity. Simulation results are presented in which the models are tested under different scenarios. |
format | Online Article Text |
id | pubmed-6394336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-63943362019-03-15 Optimal spare parts management for vessel maintenance scheduling Kian, Ramez Bektaş, Tolga Ouelhadj, Djamila Ann Oper Res S.I.: Advances in Theoretical and Applied Combinatorial Optimization Condition-based monitoring is used as part of predictive maintenance to collect real-time information on the healthy status of a vessel engine, which allows for a more accurate estimation of the remaining life of an engine or its parts, as well as providing a warning for a potential failure of an engine part. An engine failure results in delays and down-times in the voyage of a vessel, which translates into additional cost and penalties. This paper studies a spare part management problem for maintenance scheduling of a vessel operating on a given route that is defined by a sequence of port visits. When a warning on part failure is received, the problem decides when and to which port each part should be ordered, where the latter is also the location at which the maintenance operation would be performed. The paper describes a mathematical programming model of the problem, as well as a shortest path dynamic programming formulation for a single part which solves the problem in polynomial time complexity. Simulation results are presented in which the models are tested under different scenarios. Springer US 2018-06-01 2019 /pmc/articles/PMC6394336/ /pubmed/30880859 http://dx.doi.org/10.1007/s10479-018-2907-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | S.I.: Advances in Theoretical and Applied Combinatorial Optimization Kian, Ramez Bektaş, Tolga Ouelhadj, Djamila Optimal spare parts management for vessel maintenance scheduling |
title | Optimal spare parts management for vessel maintenance scheduling |
title_full | Optimal spare parts management for vessel maintenance scheduling |
title_fullStr | Optimal spare parts management for vessel maintenance scheduling |
title_full_unstemmed | Optimal spare parts management for vessel maintenance scheduling |
title_short | Optimal spare parts management for vessel maintenance scheduling |
title_sort | optimal spare parts management for vessel maintenance scheduling |
topic | S.I.: Advances in Theoretical and Applied Combinatorial Optimization |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394336/ https://www.ncbi.nlm.nih.gov/pubmed/30880859 http://dx.doi.org/10.1007/s10479-018-2907-y |
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