duane model

**Duane model** is **a reliability growth model that relates cumulative MTBF to cumulative test time using a power-law trend** - Log-log regression estimates growth slope and predicts whether observed fixes are improving MTBF fast enough. **What Is Duane model?** - **Definition**: A reliability growth model that relates cumulative MTBF to cumulative test time using a power-law trend. - **Core Mechanism**: Log-log regression estimates growth slope and predicts whether observed fixes are improving MTBF fast enough. - **Operational Scope**: It is used across reliability and quality programs to improve failure prevention, corrective learning, and decision consistency. - **Failure Modes**: Applying model assumptions outside stable test regimes can misstate true growth rate. **Why Duane model 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**: Fit only comparable test phases and monitor residuals for regime shifts before acting on forecasts. - **Validation**: Track recurrence rates, control stability, and correlation between planned actions and measured outcomes. Duane model is **a high-leverage practice for reliability and quality-system performance** - It gives a simple quantitative baseline for reliability growth planning.