reliability growth

**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.