Water Utility Asset Reliability and Performance Transformation
IQ was engaged by a major water utility to strengthen asset decision-making, data governance and operational performance through a comprehensive Reliability, Availability and Maintainability (RAM) study across wastewater treatment operations.
As part of a broader reliability framework, IQ developed a defensible, data-driven approach to understanding asset risk, reliability, safety and lifecycle performance. Work order history and operational datasets were analysed using advanced reliability modelling and simulation, supported by a structured confidence framework to provide transparency around model outputs and underlying data.
Recognising that wastewater treatment plants operate across varying utilisation levels, IQ modelled dry, sustained, elevated and wet-weather flow regimes. This enabled reliability and system criticality to be assessed under changing plant conditions, providing more targeted operational and maintenance insights.
The study identified opportunities to optimise maintenance planning and targeted maintenance campaigns while minimising impacts on production availability. IQ also assessed key performance improvement levers, including asset redundancy, spare parts management, workforce constraints, automation and operational surveillance.
The engagement provided actionable recommendations and identified opportunities to further strengthen asset information and data quality, giving stakeholders clear priorities for future investment, operational improvement and asset management planning.
Outcome: Improved visibility of asset reliability risks and performance drivers, better-informed maintenance and investment decisions, enhanced operational resilience, and a stronger foundation for performance and compliance—helping the utility direct resources toward initiatives delivering the greatest operational and lifecycle value.
