Diseño e implementación de una herramienta para gestión de mantenimiento preventivo del hardware del parque computacional de la UTPL, basado en criterios estadísticos

Abstract

Universidad Técnica Particular de Loja has a computer park with 2816 computers that, in the period April 2015 - August 2017, have generated a demand of 6893 support requests. This fact shows the need of using statistical criteria to automatize their monitoring and supervision. The SPSS Statistics software allowed the use of multiple regression techniques in order to define a prediction model that explains the 99.8% of the data obtained variance and the stability provided by the support tickets in the Aranda management tool. The System Center Configuration Manager tool consolidates the prediction model by providing data on the software and hardware status of the computer equipment in the present time; In addition, it allows to monitor and supervise all available equipment to extend its useful life and availability time including: 1. Energy saving because the equipment can be turned on and off remotely. 2. Cost reduction and maintenance automation. 3. Facilities and updates remotely. 4. Security policies compliances. 5. Software reporting and its actual use by users.