Publication
Component redundancy allocation in optimal cost preventive maintenance scheduling
| datacite.subject.fos | Engenharia e Tecnologia | |
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Mecânica | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 12:Produção e Consumo Sustentáveis | |
| dc.contributor.author | Siopa, Jorge | |
| dc.contributor.author | Garção, José Eugénio Semedo | |
| dc.contributor.author | Silva, Júlio Montalvão e | |
| dc.date.accessioned | 2025-07-14T10:00:32Z | |
| dc.date.available | 2025-07-14T10:00:32Z | |
| dc.date.issued | 2015-06 | |
| dc.description.abstract | This work presents a methodology to assist maintenance teams in defining the maintenance schedule and redundancy allocation that minimise the life-cycle average cost of a system. The minimal data required are three average costs and one reliability function. This methodology is useful in a system design phase, since in this situation data is usually scarce or inaccurate, but can also be applied in the exploration phase. It consists of an adaptation of the classical optimal age replacement method, combined with a redundancy allocation problem. A set of simple illustrative examples covering a variety of operating conditions is presented, demonstrating quantitatively the applicability of the methodology to a range of maintenance optimisation decisions. | eng |
| dc.identifier.citation | Siopa, J., Garção, J. & e Silva, J. Component redundancy allocation in optimal cost preventive maintenance scheduling. J Oper Res Soc 66, 925–935 (2015). https://doi.org/10.1057/jors.2014.56 | |
| dc.identifier.doi | 10.1057/jors.2014.56 | |
| dc.identifier.issn | 0160-5682 | |
| dc.identifier.issn | 1476-9360 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/13616 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| dc.relation.ispartof | Journal of the Operational Research Society | |
| dc.rights.uri | N/A | |
| dc.subject | life-cycle cost | |
| dc.subject | maintenance | |
| dc.subject | optimal age replacement | |
| dc.subject | redundancy | |
| dc.subject | reliability | |
| dc.title | Component redundancy allocation in optimal cost preventive maintenance scheduling | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 935 | |
| oaire.citation.issue | 6 | |
| oaire.citation.startPage | 925 | |
| oaire.citation.title | Journal of the Operational Research Society | |
| oaire.citation.volume | 66 | |
| oaire.version | http://purl.org/coar/version/c_71e4c1898caa6e32 | |
| person.familyName | Siopa | |
| person.givenName | Jorge | |
| person.identifier.orcid | 0009-0001-8515-6754 | |
| relation.isAuthorOfPublication | f11350cc-d217-4681-a020-303c87a3b792 | |
| relation.isAuthorOfPublication.latestForDiscovery | f11350cc-d217-4681-a020-303c87a3b792 |
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- This work presents a methodology to assess maintenance teams in the determination of the degree of redundancy that an active component must have in order to minimize its system life-cycle cost and in the definition of the corresponding maintenance plan schedule. The minimal required data are three average costs and one reliability function. It is useful in a system’s design phase, since in this situation data is usually scarce or inaccurate, but can also be applied in the exploration phase. It is an adaptation of the classical Optimal Age Replacement method combined with a redundancy allocation problem. A set of simple illustrative examples covering a variety of operating conditions is presented, demonstrating quantitatively the applicability to a range of maintenance optimization decisions.
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