Reliability growth is the measurable improvement of product reliability over time as defects are discovered and removed - Test and field data are analyzed across fixes to quantify hazard reduction after each improvement cycle.

What Is Reliability growth?

• Definition: The measurable improvement of product reliability over time as defects are discovered and removed.
• Core Mechanism: Test and field data are analyzed across fixes to quantify hazard reduction after each improvement cycle.
• Operational Scope: It is used across reliability and quality programs to improve failure prevention, corrective learning, and decision consistency.
• Failure Modes: Counting fixes without validating effectiveness can create false confidence in reliability gains.

Why Reliability growth Matters

• Reliability Outcomes: Strong execution reduces recurring failures and improves long-term field performance.
• Quality Governance: Structured methods make decisions auditable and repeatable across teams.
• Cost Control: Better prevention and prioritization reduce scrap, rework, and warranty burden.
• Customer Alignment: Methods that connect to requirements improve delivered value and trust.
• Scalability: Standard frameworks support consistent performance across products and operations.

How It Is Used in Practice

• Method Selection: Choose method depth based on problem criticality, data maturity, and implementation speed needs.
• Calibration: Use time-to-failure datasets by build phase and recompute growth parameters after each verified fix.
• Validation: Track recurrence rates, control stability, and correlation between planned actions and measured outcomes.

Reliability growth is a high-leverage practice for reliability and quality-system performance - It converts reliability improvement from ad hoc activity into trackable engineering progress.