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), operati...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2010
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- spa
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23147
- Acceso en línea:
- https://repository.urosario.edu.co/handle/10336/23147
- Palabra clave:
- Biomedical engineering
Cluster analysis
Contract service
Health service accessibility
Hospital
Maintenance and engineering
- Rights
- License
- Abierto (Texto Completo)
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e9f0fff6-32e9-4711-b87d-a1569d197e92-15d69057d-db70-442d-a096-906ba439714e-136f1c47a-971d-4a6b-8f84-1cbd9f3cfd2b-11741504d-22f7-4e1b-ab9d-774437414345-12020-05-26T00:00:01Z2020-05-26T00:00:01Z2010Objective 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.application/pdf1240064https://repository.urosario.edu.co/handle/10336/23147spaUniversidad Nacional de Colombia473No. 3464Revista de Salud PublicaVol. 12Revista de Salud Publica, ISSN:1240064, Vol.12, No.3 (2010); pp. 464-473https://www.scopus.com/inward/record.uri?eid=2-s2.0-79551704090&partnerID=40&md5=2b3a2d7578be80e1e131eb02a48ac4beAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBiomedical engineeringCluster analysisContract serviceHealth service accessibilityHospitalMaintenance and engineeringApplying the clustering technique for characterising maintenance outsourcingAplicación de técnicas de clustering para caracterizar proveedores de servicios de mantenimientoarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Cruz A.M.Usaquén-Perilla S.P.Vanegas-Pabón N.N.Lopera C.ORIGINALv12n3a12.pdfapplication/pdf186205https://repository.urosario.edu.co/bitstreams/a8935698-9cb6-4ac0-9ead-3112eb9b2293/download225bcd5f03e6f52b6b9fffc6a956af9eMD51TEXTv12n3a12.pdf.txtv12n3a12.pdf.txtExtracted texttext/plain21299https://repository.urosario.edu.co/bitstreams/73874259-3646-4e3a-b53d-0567b5c83387/downloadf4e266434bed0f5174caaf8118f05197MD52THUMBNAILv12n3a12.pdf.jpgv12n3a12.pdf.jpgGenerated Thumbnailimage/jpeg3111https://repository.urosario.edu.co/bitstreams/51e2d41f-89e6-479d-9068-061b57faf182/download130ab58058095a85b161cf35a27cedccMD5310336/23147oai:repository.urosario.edu.co:10336/231472022-05-02 07:37:14.575264https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Applying the clustering technique for characterising maintenance outsourcing |
dc.title.TranslatedTitle.spa.fl_str_mv |
Aplicación de técnicas de clustering para caracterizar proveedores de servicios de mantenimiento |
title |
Applying the clustering technique for characterising maintenance outsourcing |
spellingShingle |
Applying the clustering technique for characterising maintenance outsourcing Biomedical engineering Cluster analysis Contract service Health service accessibility Hospital Maintenance and engineering |
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 |
dc.subject.keyword.spa.fl_str_mv |
Biomedical engineering Cluster analysis Contract service Health service accessibility Hospital Maintenance and engineering |
topic |
Biomedical engineering Cluster analysis Contract service Health service accessibility Hospital Maintenance and engineering |
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. |
publishDate |
2010 |
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2010 |
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2020-05-26T00:00:01Z |
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article |
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1240064 |
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https://repository.urosario.edu.co/handle/10336/23147 |
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1240064 |
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spa |
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473 |
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No. 3 |
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464 |
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Revista de Salud Publica |
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Vol. 12 |
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Revista de Salud Publica, ISSN:1240064, Vol.12, No.3 (2010); pp. 464-473 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-79551704090&partnerID=40&md5=2b3a2d7578be80e1e131eb02a48ac4be |
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Universidad Nacional de Colombia |
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