Algoritmo para la asignación de actividades de Mantenimiento utilizando la gestión de conocimiento

Cristian García García, Javier Cárcel Carrasco, Mary Vergara Paredes, Francklin Rivas Echeverria, Franklin Camacho

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

The present study focuses on generating a methodological proposal for the allocation of human resources in the execution of maintenance tasks. This considers the implementation of an algorithm that assumes a set of maintenance activities (tasks or resources), a set of maintenance personnel (agents), a plausibility relationship over resources, a hierarchical relationship over agents and the preference that Agents have about resources. These assumptions lead to a hierarchy of personnel and identification of critical tasks. These hierarchy of personnel takes the management of knowledge as a fundamental part since; the maintenance function requires very specific technical knowledge, normally tacitly stored among the personnel operating in these areas. The methodology is complemented by a new hierarchy of tasks using the methodology of analysis of failure modes, effects and criticality (AMFE). The results applied to a fleet of vehicles show that other assumptions are needed to obtain reasonable and fair criteria in the allocation of maintenance tasks, which are considered as weightings in a knowledge management function that include: Professional experience criteria, experience in the company, talent and self-training.

Título traducido de la contribuciónAlgorithm for assignment of maintenance activities through knowledge management
Idioma originalEspañol
Páginas (desde-hasta)57-68
Número de páginas12
PublicaciónIngeniare
Volumen30
N.º1
DOI
EstadoPublicada - mar. 2022

Nota bibliográfica

Publisher Copyright:
© 2022, Universidad de Tarapaca. All rights reserved.

Palabras clave

  • Human factor
  • industrial maintenance
  • resource allocation

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