Risk Analysis
Systematic identification and evaluation of risk likelihood and consequence to inform decisions.
Definition
Risk analysis is the systematic process of identifying what can go wrong, estimating how likely it is, and quantifying the consequence if it does — producing a basis for decisions rather than a qualitative impression of danger. It combines a likelihood estimate with a consequence estimate, typically from failure data, operating history, or engineering judgment calibrated against evidence, to produce a risk figure that can be compared, ranked, and acted on.
Why Likelihood and Consequence Are Both Required
A hazard with high likelihood but low consequence and a hazard with low likelihood but severe consequence can carry comparable risk — but they call for very different responses. Risk analysis exists because neither likelihood nor consequence alone tells the full story; both have to be estimated and combined explicitly.
Rigorous risk analysis grounds the likelihood term in failure data, operating history, or a calibrated model, rather than an unsupported qualitative label like "low," "medium," or "high" — which is why risk analysis is inseparable from the reliability and failure-data disciplines that feed it.
Where It Applies in Industrial Decisions
Risk analysis informs capital spending priorities, inspection and maintenance interval decisions, and spares-sparing strategy — ranking which failure modes carry the most consequence-weighted exposure so resources are directed at the risks that matter most, not simply the ones that are most visible.
How This Connects to Knar Global's Work
Knar Global grounds risk analysis in quantified failure likelihood and consequence data rather than qualitative risk-matrix labels — feeding directly into the capital and operating decisions its clients face.