Aplicación de técnicas de clustering para caracterizar proveedores de servicios de mantenimiento

Translated title of the contribution: Applying the clustering technique for characterising maintenance outsourcing

Antonio M. Cruz, Sandra P. Usaquén-Perilla, Nidia N. Vanegas-Pabón, Carolina Lopera

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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:
Translated title of the contributionApplying the clustering technique for characterising maintenance outsourcing
Original languageSpanish
Pages (from-to)464-473
Number of pages10
JournalRevista de Salud Publica
Volume12
Issue number3
StatePublished - Jan 1 2010

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