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A new method based on fuzzy logic to evaluate the contract service provider performance

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dc.creatorMiguel, C. A.spa
dc.creatorBarr, C.spa
dc.creatorMoreno, M. J. L.spa
dc.date.accessioned2020-05-25T23:56:19Z
dc.date.available2020-05-25T23:56:19Z
dc.date.created2008spa
dc.description.abstractThis paper puts forward a fuzzy inference system for evaluating the service quality performance of service contract providers. An application service provider (ASP) model for computerized maintenance management was used in establishing common performance indicators of the quality of service. This model was implemented in 10 separate hospitals. As a result, inference produced a service cost/acquisition cost (SC/AC) ratio reduction from 16.14% to 6.09%, an increase of 20.9% in availability, with a maintained repair quality (NRR) in the period of December 2001 to January 2003. © 2008 Informa UK Ltd.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1080/03091900701860277
dc.identifier.issn3091902
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22395
dc.language.isoengspa
dc.relation.citationEndPage314
dc.relation.citationIssueNo. 4
dc.relation.citationStartPage305
dc.relation.citationTitleJournal of Medical Engineering and Technology
dc.relation.citationVolumeVol. 32
dc.relation.ispartofJournal of Medical Engineering and Technology, ISSN:3091902, Vol.32, No.4 (2008); pp. 305-314spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-48249129736&doi=10.1080%2f03091900701860277&partnerID=40&md5=ee5d3366f49201f2da0ee09165484e03spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordArsenic compoundsspa
dc.subject.keywordContractsspa
dc.subject.keywordCost reductionspa
dc.subject.keywordFuzzy inferencespa
dc.subject.keywordFuzzy logicspa
dc.subject.keywordFuzzy systemsspa
dc.subject.keywordMaintenancespa
dc.subject.keywordApplication service provider (ASP)spa
dc.subject.keywordComputerized maintenancespa
dc.subject.keywordContract service providersspa
dc.subject.keywordFuzzy Inference System (FIS)spa
dc.subject.keywordPerformance indicatorsspa
dc.subject.keywordService contractingspa
dc.subject.keywordService quality performancespa
dc.subject.keywordUK Ltdspa
dc.subject.keyword(CO)spa
dc.subject.keywordQuality of servicespa
dc.subject.keywordArticlespa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordComputer aided designspa
dc.subject.keywordCost benefit analysisspa
dc.subject.keywordFuzzy logicspa
dc.subject.keywordHealth care facilityspa
dc.subject.keywordHospital managementspa
dc.subject.keywordJob performancespa
dc.subject.keywordQuality controlspa
dc.subject.keywordQuantitative analysisspa
dc.subject.keywordScoring systemspa
dc.subject.keywordWorkerspa
dc.subject.keywordArtificial Intelligencespa
dc.subject.keywordContract Servicesspa
dc.subject.keywordDecision Support Techniquesspa
dc.subject.keywordFuzzy Logicspa
dc.subject.keywordOutsourced Servicesspa
dc.subject.keywordProgram Evaluationspa
dc.subject.keywordClinical engineeringspa
dc.subject.keywordFuzzy logicspa
dc.subject.keywordService contract managementspa
dc.subject.keywordTechnology managementspa
dc.titleA new method based on fuzzy logic to evaluate the contract service provider performancespa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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