Development of maintenance policy selection (mps) model to select the optimal maintenance policy for a system in palm oil mill
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Date
2010
Authors
Slew Hong, Ding
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Abstract
The maintenance is change due to the development of technology. Under the
changes, different maintenance policies have been developed, from corrective
maintenance until predictive maintenance. These maintenance policies have
advantages and disadvantages. Thus, how to select an optimal maintenance policy
that is the most suitable to a system is a critical issue. The existing researches mostly
focused on selecting a maintenance based on economic aspect but neglecting the
technical aspect such as performance of these policies in reducing the functional
failures.
In this research, a selection model is developed for selecting an optimal
maintenance policy which can minimize the occurrence of failures. In order to
validate this selection model, a case study was carried out on a processing industry in
Malaysia.
A critical system is identified from the production line. The functional failure
mechanisms of the critical system are analysed in order to gain useful information
before the selection process. Functional failure causes and it failure criticality are the
main output of the analysis. This information is being used for maintenance selection
process in this selection model. The maintenance policies performance in minimizing
the identified functional failure causes are evaluated by using expert judgment and
ranked by using technique of Preference by Similarity to Ideal Solution (TOPSIS).
line. Through the analysis, the preventive maintenance policy has been identified as
the optimal maintenance policy for the stripping system.