Development of decision model for maintenance analysis of non-repairable component by considering the external factor

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Date
2007
Authors
Rosmaini, Ahmad
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Abstract
Preventive Maintenance (PM) is one of the strategies that can be applied to reduce the machine breakdown problems due to unplanned maintenance. However, the application of PM in term of when is the best time to carry out the PM is an important issue. The answer to this question should be based on an adequate maintenance analysis. The existing study in determining the PM time is not based on an adequate maintenance analysis, where there are not considered the external factor (covariate) and without understanding the failure mechanism (physical failure). Therefore, the determination of PM time is not accurate enough and reduced the PM benefits. In this research, a decision model of maintenance analysis by considering the external factor (covariate) and physical failure has been developed in order to determine the more accurate time of PM. Therefore, the PM strategy that has been applied can maximise the benefits of PM. In order to validate this model, a case study was carried out on a processing industry in Malaysia. The case study only focused on non-repairable components in a machine. The results from this physical failure analysis have identified the possible external factors (covariates) that influence the component failure and have classified the censored and uncensored data. This information is being used for the next analysis (covariate analysis) in the decision model. The result shows that some identified covariates have significant effects to the component failure. Thus, the parameter of covariates effects is used to determine more accurate time of PM. The result of PM time determination shows that there has a significant difference of PM time with and without considering the external factor. Therefore, this result implies that more accurate time of PM should be determined by considering the external factor (covariate).
Description
Master
Keywords
Mechanical Engineering , Decision model
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