Ítem
Acceso Abierto

Applying the clustering technique for characterising maintenance outsourcing

Mostrar el registro sencillo de la publicación
dc.creatorCruz A.M.spa
dc.creatorUsaquén-Perilla S.P.spa
dc.creatorVanegas-Pabón N.N.spa
dc.creatorLopera C.spa
dc.date.accessioned2020-05-26T00:00:01Z
dc.date.available2020-05-26T00:00:01Z
dc.date.created2010spa
dc.description.abstractObjective Using clustering techniques for characterising companies providing health institutions with maintenance services. Methods The study analysed seven pilot areas' equipment inventory (264 medical devices). Clustering techniques were applied using 26 variables. Response time (RT), operation duration (OD), availability and turnaround time (TAT) were amongst the most significant ones. Results Average biomedical equipment obsolescence value was 0.78. Four service provider clusters were identified: clusters 1 and 3 had better performance, lower TAT, RT and DR values (56 % of the providers coded O, L, C, B, I, S, H, F and G, had 1 to 4 day TAT values: less than TAT less than 2.56 days on average). Cluster 0 had medium performance (38 % of providers coded V, M, K, Z, T and Y, having an average 9.79 TAT value). Cluster 2 (6 % - provider J) had low performance, having very a high TAT level (101 days on average). Conclusions The methodology allowed medical equipment inventory and maintenance service suppliers to be characterised. The cluster technique was effective in identifying the most competitive suppliers.spa
dc.format.mimetypeapplication/pdf
dc.identifier.issn1240064
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23147
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.relation.citationEndPage473
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage464
dc.relation.citationTitleRevista de Salud Publica
dc.relation.citationVolumeVol. 12
dc.relation.ispartofRevista de Salud Publica, ISSN:1240064, Vol.12, No.3 (2010); pp. 464-473spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79551704090&partnerID=40&md5=2b3a2d7578be80e1e131eb02a48ac4bespa
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.keywordBiomedical engineeringspa
dc.subject.keywordCluster analysisspa
dc.subject.keywordContract servicespa
dc.subject.keywordHealth service accessibilityspa
dc.subject.keywordHospitalspa
dc.subject.keywordMaintenance and engineeringspa
dc.titleApplying the clustering technique for characterising maintenance outsourcingspa
dc.title.TranslatedTitleAplicación de técnicas de clustering para caracterizar proveedores de servicios de mantenimientospa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
Archivos
Bloque original
Mostrando1 - 1 de 1
Miniatura
Nombre:
v12n3a12.pdf
Tamaño:
181.84 KB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Colecciones
Artículos