Modelo de mantenimiento preventivo basado en confiabilidad (rcm) para las maquinas críticas de los procesos productivos de Cerescos SAS.

Esta monografía muestra el desarrollo de un modelo de mantenimiento basado en RCM para las maquinas críticas de los procesos productivos de Cerescos Sas, realizado como respuesta a la necesidad de minimizar los impactos en la producción causados por la indisponibilidad de dichas maquinas, y con el o...

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Autores:
Mariño Niño, Antonio Fernando
Tipo de recurso:
http://purl.org/coar/version/c_b1a7d7d4d402bcce
Fecha de publicación:
2016
Institución:
Universidad Industrial de Santander
Repositorio:
Repositorio UIS
Idioma:
spa
OAI Identifier:
oai:noesis.uis.edu.co:20.500.14071/35161
Acceso en línea:
https://noesis.uis.edu.co/handle/20.500.14071/35161
https://noesis.uis.edu.co
Palabra clave:
Rcm
Modo De Falla
Efectos De Falla
Mantenimiento
This paper shows the development of a maintenance model based on RMC methodology for Cerescos Sascritical machines. The main objective of this proposal is to minimize the impacts on production that could be caused by the unavailability of the machines. Furthermore
this paper proposes the application of a maintenance model based on equipment functions and equipment operating context. These features meet the new trend of maintenance programs that focuses on reliability. The dissertation is supported by the equipment technical information obtained and the knowledge and experience of the workforce that operates and maintains the machines. The technical information and the workforce are the key-support in each stage mainly during the identification of failure modes and effects. After the identification
the RCM through the decision diagram provides a strong tool that allow in a structured way to establish the activities required to increase the efficiency and useful life of the assets. Therefore
the RCM optimizes the maintenance programs eliminating the tasks that no added value. s commitment in the execution of the tasks proposed by RCM and the permanent monitoring by the maintenance workforce
in order to find the Opportunities to improve the model presented and increase continuously its effectiveness.
Rights
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)