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A decentralized predictive maintenance system based on data mining concepts

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dc.contributor.authorLopes, Isabel S.
dc.contributor.authorPires, Luís
dc.contributor.authorBastos, Pedro
dc.date.accessioned2012-07-13T10:50:19Z
dc.date.available2012-07-13T10:50:19Z
dc.date.issued2010
dc.description.abstractIn the last years we have assisted to several and deep changes in industrial manufacturing. Induced by the need of increasing efficiency, bigger flexibility, better quality and lower costs, it became more complex [1]. Enterprises had had the need to cope with market expectations, incorporating in their production philosophies new paradigms such as JIT- Just in time, MTOMake to order, Mass Customization, agile manufacturing or Lean Manufacturing, that allow them to satisfy markets with a big diversity of products and also big quantities, becoming therefore more competitive. All this complexity has caused big pressure under enterprises maintenance systems. Maintenance mission is to make equipment and facilities available when requested. Maintenance function, seen as a non value aggregator one, became more and more requested to contribute to cost reduction, based on bigger and consistent equipment reliability. This perspective is stressed when enterprises existing equipment has an advanced service life. It is expected a profusion of breakdowns at those scenarios and consequently a smaller usability of equipment driving to less productivity. From an economic perspective, maintenance function is seen to the enterprise as a cost [2]. In fact, experience shows that a major percentage of the overall costs of the business concerns with maintenance [3]. Considering this perspective, decreasing costs with equipment operationalization will increase maintenance productivity and consequently overall productivity [4].por
dc.identifier.citationLopes, Isabel; Pires, Luís; Bastos, Pedro (2010). A decentralized predictive maintenance system based on data mining concepts. In Putnik G. D., Ávila P. (Eds.), First International Conference on Business Sustainability: Management, Technology and Learning for Individuals, Organisations and Society in Turbulent Environments. Guimarães: University of Minho; Porto: ISEP. p. 254-258. ISBN 978-972-8692-48-3, ISBN 978-989-95907-1-7por
dc.identifier.isbn978-972-8692-48-3
dc.identifier.isbn978-989-95907-1-7
dc.identifier.urihttp://hdl.handle.net/10198/7208
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherUniversidade do Minho, ISEPpor
dc.subjectManagementpor
dc.subjectMaintenancepor
dc.subjectData miningpor
dc.subjecte-collaboration protocolspor
dc.subjectReference architecturespor
dc.titleA decentralized predictive maintenance system based on data mining conceptspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceOfir-Portugalpor
oaire.citation.endPage258por
oaire.citation.startPage254por
oaire.citation.titleBusiness Sustainability Ipor
person.familyNamePires
person.familyNameBastos
person.givenNameLuís
person.givenNamePedro
person.identifier.ciencia-id5C17-F4F0-882E
person.identifier.orcid0000-0002-1672-0577
person.identifier.orcid0000-0002-8445-8398
person.identifier.scopus-author-id35748310100
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication9a06b453-7759-411e-ae0d-c050e55b4165
relation.isAuthorOfPublication7d847d5b-ee47-4d3b-9f98-d68481ca9aad
relation.isAuthorOfPublication.latestForDiscovery7d847d5b-ee47-4d3b-9f98-d68481ca9aad

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