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.
Yuseni Ab Wahab is with Business Innovation and Accounting, KolejUniversiti Islam Melaka (KUIM), Malaysia (e-mail:
yuseni@kuim.edu.my).
Abd Samad Hasan Basari is with Centre for Advanced Computing Technology (C-ACT), Faculty of Information & Communication Technology, UTeM, Melaka, Malaysia (e-mail: abdsamad@utem.edu.my).
[PDF]
Cite: Yuseni Ab Wahab and Abd Samad Hasan Basari, "Failure Distribution of the University Hostel Building," International Journal of Engineering and Technology vol. 8, no. 5, pp. 350-353, 2016.
