Abstract-This paper is part of an on-going research on the development of maintenance management cost model for Higher Education Institution Hostel Buildings in Malaysia where the case study is conducted at Kolej Universiti Islam Melaka (KUIM). The model is developed to analyse the total cost curve for various values of the uncertain parameter, and noting the effect of this variation on the optimal solution. The decision areas addressed based on the replacement action that are assumed to be known with certainty. This is due to the item is not subject to failure but consider the operating cost with use. The study is aimed to assist engineers in deciding an appropriate replacement policy. This is usually useful to plot the total cost per unit time curve. The advantage of the curve is that, along with giving the optimal value, it shows the total cost around the optimum. If the curve is fairly flat around the optimum, it is not really very important that engineers should plan for the replacements exactly at the optimum. The model is proposed to guide and facilitate when dealing with optimization problems. If there is uncertainty about the value of the particular parameter required during the analysis, then the replacement cost is unsure. Furthermore the evaluation of the total cost curve for various values of the uncertain parameter could in consequence affect the optimal solution.Index Terms-Hostel building maintenance, replacement model, replacement cost.

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Abstract-In University hostel maintenance, failure of the component and equipment of University Hostel building became have a major impact on the high cost of university. Therefore, there is a need to have an optimal maintenance strategy such as replacement, repair and inspection. Before that, if any optimal maintenance strategy can be implemented failure distribution and the parameters of the hostel building component need to be identified. The main objective in this paper is to propose a parameter failure distribution for University Hostel building maintenance management. The method proposesapproachGoodness of a Distribution Fit and Maximum Likelihood Estimator (MLE) techniques in identifying the failure distribution and the parameters for hostel building component. The approach proposed can improve maintenance engineers to use failure data as well as in maintenance optimisation analysis. The paper starts by introducing the application of MLE techniques to identify the best failure fit distribution and its parameters. It follows by numerical examples to determine whether the failure distribution parameters are applicable to be applied in maintenance optimisation analysis. This is carried out by approach with a case study.Index Terms-Maximum likelihood estimator, goodness of a distribution fit and failure distribution.

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