The role of the reliability engineer is often associated with specific activities or phases of the lifecycle, such as prediction during design, testing during development or data analysis in-service. In practice, reliability engineering is a through-life responsibility, even though its focus changes over time.
Rather than owning a single task or deliverable, the reliability engineer’s role is to ensure that reliability thinking is applied at the right points, using appropriate evidence, as decisions are made. Across the lifecycle, that typically means:
Early concept and requirements
Helping define what reliability actually means for the system, clarifying required functions, operating context, performance expectations and assumptions before targets are set or contracts are signed.
Design and development
Ensuring reliability and maintainability considerations influence system architectures, trade studies and design choices, when early decisions still offer the greatest opportunity to reduce risk.
Test, verification and validation
Making sure testing provides meaningful evidence against realistic operating conditions, rather than simply demonstrating compliance with isolated or idealised requirements.
In-service operation and support
Using operational data, failure reporting and root cause analysis to challenge assumptions, refine maintenance strategies, develop corrective actions and inform decisions about upgrades, modifications or life extension.
Change and obsolescence management
Assessing how technical changes, organisational changes, or shifts in operating context affect reliability and helping teams understand the risk of unintended consequences.
Throughout all of this, the reliability engineer rarely “owns” the system. Instead, they help maintain continuity of thinking, ensuring early assumptions are revisited, evidence is updated and decisions remain grounded in how the system is actually used.
Reliability engineering can’t, and shouldn’t, be reduced to a checklist of analyses. Its value lies in maintaining a coherent view across the lifecycle, where learning from service feeds back into future decisions rather than being lost once systems have entered service…
Next up…
Reliability Bites #7: Ethics in reliability engineering – practical dilemmas, not just theory.
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