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Modeling critical failures maintenance: a case study for mining

Modeling critical failures maintenance: a case study for mining Purpose – This paper aims to present a case study where computer simulation is used to evaluate maintenance strategies targeted to cope with a critical failure of a repairable system. Design/methodology/approach – The problem is characterized, modeled and simulated under different conditions and for finite time periods. The different states of the system and the possible transitions among these states are characterized. Transitions are conditioned by the failure dynamics and by the maintenance decision maker. The model is then formalized and the data requirements fulfilled. Findings – The performance of several maintenance policies based on educated estimations about the equipment behavior, manufacturer recommendations, well‐known previous maintenance practices, etc. benchmarked against the results of certain modeling and optimization tools. Practical implications – Practical implications of this work have to do with following the entire modeling process and maintenance policy assessment with an engineering team, exploring options and opportunities to support the maintenance managers. Originality/value – Maintenance policy design exploration using semi‐Markovian process simulation modeling. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality in Maintenance Engineering Emerald Publishing

Modeling critical failures maintenance: a case study for mining

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References (19)

Publisher
Emerald Publishing
Copyright
Copyright © 2005 Emerald Group Publishing Limited. All rights reserved.
ISSN
1355-2511
DOI
10.1108/13552510510626945
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to present a case study where computer simulation is used to evaluate maintenance strategies targeted to cope with a critical failure of a repairable system. Design/methodology/approach – The problem is characterized, modeled and simulated under different conditions and for finite time periods. The different states of the system and the possible transitions among these states are characterized. Transitions are conditioned by the failure dynamics and by the maintenance decision maker. The model is then formalized and the data requirements fulfilled. Findings – The performance of several maintenance policies based on educated estimations about the equipment behavior, manufacturer recommendations, well‐known previous maintenance practices, etc. benchmarked against the results of certain modeling and optimization tools. Practical implications – Practical implications of this work have to do with following the entire modeling process and maintenance policy assessment with an engineering team, exploring options and opportunities to support the maintenance managers. Originality/value – Maintenance policy design exploration using semi‐Markovian process simulation modeling.

Journal

Journal of Quality in Maintenance Engineering – Emerald Publishing

Published: Dec 1, 2005

Keywords: Maintenance; Modelling; Simulation

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