Optimize counterfeit detection test sequences for EEE parts in accordance with SAE AS6171 — balancing defect coverage against cost and time constraints.
The CVAT Tool is a web-based optimization application developed through U.S. Army research at Auburn University that supplements SAE Standard AS6171. Using a branch-and-bound algorithm, it determines the combination of test methods that maximizes defect detection coverage while respecting user-defined cost and time budgets.
Features
- Optimize test sequences to maximize Counterfeit Defect Coverage (CDC)
- Analyze CDC, Counterfeit Type Coverage, Not Covered Defects, and Under Covered Defects
- Compare alternative test sequences side-by-side
- Support for SME and combined SME & Round Robin empirical data
- Upload custom datasets with organization-specific confidence values
- Export detailed results to CSV and Excel
Potential Users
Anyone using or invoking AS6171 to develop a counterfeit detection test sequence or evaluate coverage levels — including personnel at test laboratories, parts distributors, defense contractors, and government agencies responsible for EEE parts supply chain integrity.
- Select your Component Type, Part Type, and Data Source — or switch to "Upload my own data" for custom datasets.
- Set the Target Confidence (TC) threshold and optional Cost/Time Budgets.
- Check/uncheck Methods and Defects to include — edit cost/time values inline if needed.
- Add any Prerequisites between test methods (e.g., Detailed EVI requires General EVI).
- Click Run Branch & Bound to optimize.
- Review results: CDC, Counterfeit Type Coverage, Not Covered Defects, Under Covered Defects.
- Export to CSV or Excel, or compare multiple runs side-by-side.
Click the ⓘ icon next to any field for a detailed explanation.