Applying the clustering technique for characterising maintenance outsourcing

"Objective 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), o...

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Autores Principales: Cruz A.M., Usaquén-Perilla S.P., Vanegas-Pabón N.N., Lopera C.
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Nacional de Colombia 2010
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23147
id ir-10336-23147
recordtype dspace
spelling ir-10336-231472021-01-21T08:26:17Z Applying the clustering technique for characterising maintenance outsourcing Aplicación de técnicas de clustering para caracterizar proveedores de servicios de mantenimiento Cruz A.M. Usaquén-Perilla S.P. Vanegas-Pabón N.N. Lopera C. Biomedical engineering Cluster analysis Contract service Health service accessibility Hospital Maintenance and engineering "Objective 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." 2010 2020-05-26T00:00:01Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1240064 https://repository.urosario.edu.co/handle/10336/23147 spa info:eu-repo/semantics/openAccess application/pdf Universidad Nacional de Colombia instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR
institution EdocUR - Universidad del Rosario
collection DSpace
language Español (Spanish)
topic Biomedical engineering
Cluster analysis
Contract service
Health service accessibility
Hospital
Maintenance and engineering
spellingShingle Biomedical engineering
Cluster analysis
Contract service
Health service accessibility
Hospital
Maintenance and engineering
Cruz A.M.
Usaquén-Perilla S.P.
Vanegas-Pabón N.N.
Lopera C.
Applying the clustering technique for characterising maintenance outsourcing
description "Objective 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."
format Artículo (Article)
author Cruz A.M.
Usaquén-Perilla S.P.
Vanegas-Pabón N.N.
Lopera C.
author_facet Cruz A.M.
Usaquén-Perilla S.P.
Vanegas-Pabón N.N.
Lopera C.
author_sort Cruz A.M.
title Applying the clustering technique for characterising maintenance outsourcing
title_short Applying the clustering technique for characterising maintenance outsourcing
title_full Applying the clustering technique for characterising maintenance outsourcing
title_fullStr Applying the clustering technique for characterising maintenance outsourcing
title_full_unstemmed Applying the clustering technique for characterising maintenance outsourcing
title_sort applying the clustering technique for characterising maintenance outsourcing
publisher Universidad Nacional de Colombia
publishDate 2010
url https://repository.urosario.edu.co/handle/10336/23147
_version_ 1690577212406759424
score 11,828437