A Reliability Centered Maintenance program incorporating probabilistic based simulation

Mylrea, Cliff (2020) A Reliability Centered Maintenance program incorporating probabilistic based simulation. [USQ Project]

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This research project aims to outline the current literature regarding existing Reliability Centered Maintenance (RCM) methodology and to use this methodology as a foundation for implementing RCM in the development of Preventative Maintenance (PM) programs for on-road vehicle fleets. RCM processes are centered on qualitative data and do not readily consider the available quantitative data. The use of probabilistic modelling allows for the consideration of quantitative data which may allow for a more well-rounded PM programming. The reviewed literature points to the importance of integrating quantitative data into the RCM process.

The data for the current project was obtained from maintenance records, failure records and component failure analysis reports and in consultation with subject matter experts (SME). A hybrid RCM methodology was then applied as guided by the literature to include quantitative data. This process includes the use of probabilistic methods of analysis to forecast and develop a number of preventative maintenance plans. The hybrid methodology was adapted into a 11-step process to allow for ease of use.

These results ultimately provide the utility company with the ability to perform an RCM analysis and to gain a quantitative output on how to model and forecast PM programs. This will further allow for more fluid and informed maintenance decisions to be made in similar fields and recommendations to be made for the application of a modified RCM methodology. There was a realization that the probabilistic modelling not only assisted in the modelling of the systems and components, but it could also assist in the assessment of organisational processes. Modelling outcomes of the organisational process meant that there was greater flexibility in cost savings when the options of maintenance were limited.

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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Supervisors: Goh, Steven
Qualification: Bachelor of Engineering (Honours) (Mechanical)
Date Deposited: 16 Aug 2021 05:20
Last Modified: 26 Jun 2023 04:44
URI: https://sear.unisq.edu.au/id/eprint/43043

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