Wood, Timothy (2019) Development of an Asset Prioritisation Framework for Gympie Regional Council’s Water and Sewerage Assets. [USQ Project]
|
Text (Project)
Wood_T_Devine_Redacted.pdf Download (42MB) | Preview |
Abstract
Gympie Regional Council (GRC) have committed to improving their asset management practices and have recognised that an Asset Criticality Analysis is a key tool that can be used to prioritise and support decision making. An Asset Criticality Analysis determines a score based on an asset’s consequence of failure and the probability of that failure occurring which allows ranking. This dissertation describes the development and documentation of an Asset Criticality Analysis framework customised towards GRC’s Water Business Unit for application to a database of water and sewerage assets totalling $338M in value.
Consequence of failure criteria were developed in alignment with GRC’s Enterprise Risk Management Framework. The consequence of failure criteria was then weighted with regards to comparative importance utilising the Analytical Hierarchy Process developed by Thomas Saaty (1980). A consequence severity scoring scale was selected, and severity definitions/guidelines established to support consistent assessment of impacts of failure. A computerised model in the form of a Microsoft Excel spreadsheet was created to allow data input, calculate criticality scoring and display results.
The framework was applied to 2681 water assets and 2045 sewerage assets which were selected from each of the common asset categories. Within the total 4726 assets considered, 4209 assets were considered to have ‘Low Criticality’, 350 considered of ‘Moderately Low Criticality’, 141 considered of ‘Moderate Criticality’, 25 considered of ‘High Criticality’ and 1 considered as of ‘Extreme Criticality’. For the higher criticality assets, the results indicated that the framework was successful in producing scores that allowed clear prioritisation. However, many lower criticality assets that were very similar had equals cores which meant they could not be individually prioritised. This indicated that amendments to the framework are required to improve the granularity of scoring.
Noting that further development is required to improve the analysis, the results indicated that the framework was suitable for preliminary use by GRC to inform decision making and capital works budgets and prepare data collection, condition assessment and maintenance management programs.
|
Statistics for this ePrint Item |
| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Devine, Jo |
| Qualification: | Bachelor of Engineering (Honours) (Civil) |
| Date Deposited: | 12 Aug 2021 00:18 |
| Last Modified: | 27 Jun 2023 04:21 |
| URI: | https://sear.unisq.edu.au/id/eprint/43107 |
Actions (login required)
 |
Archive Repository Staff Only |
