Anytime you're looking to predict something, TWX Analytics is going to be a tool you might consider using. When you say that the customer is looking to predict the quality of parts, what exactly do mean? Quality can be a subjective term. Some people might consider Kia to be a quality automobile, while others might not.
If you're looking to do predictive analysis around part failure, then TWX Analytics can certainly do this. There is actually a coffee machine demo available from PTC that does this. Kalypso has a demo specific to Wind Farm turbine predictive analytics, where we're able to predict various part failures based on continuously changing data inputs across different objectives. The key is feature engineering--identifying the various data points (manufacturing location, manufacturer, time in service, operating temperature, geographic location, service technician, lot number, etc) that you can use to build a predictive model. Typically the larger the training data set, the better your model and the more accurate your scoring predictions will be. TWX Analytics does a great job of using multiple prediction algorithms and automatically determining the best one to suit your data.
