Speaker
Description
Smart Operations and Maintenance (O&M) requires infrastructure owners to move from reactive maintenance toward data-driven, risk-informed and financially sustainable asset management. This study examines whether current and planned asset investments are adequate to maintain service delivery, productive capacity, and long-term financial sustainability in Municipality X, and to develop asset management objectives. Computational asset management indicators were applied to assess the performance and long-term sustainability of six infrastructure asset portfolios, namely water, sanitation, solid waste, community facilities and operational buildings, roads and stormwater, and electricity. The rationale for the study is that Municipal infrastructure systems are exposed to ageing, funding constraints, service-delivery pressures, and rising maintenance backlogs. The study adopted a quantitative asset management assessment approach guided by SANS 55001, the Maintenance Monitoring and Evaluation Protocol, and principles of infrastructure asset management planning. Five SMART asset management objectives were formulated and linked to measurable indicators. The study found deterioration of the Asset Consumption Ratio (AM1), deficits in the Asset Sustainability Ratio (AM2) in selected portfolios, the Revenue-Generating Asset Ratio (AM3) improvement from 48.5% to 55%, and the Asset Renewal Funding Ratio (AM5) trajectory of 89%, 92%, and 96%. The that Municipality X is not operating optimally across several asset portfolios. It is recommended that Municipality X should implement an integrated digital asset management platform supported by condition monitoring, predictive maintenance analytics, lifecycle costing and risk-based prioritisation.
| Topic Area | Smart Operations and Maintenance |
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