Predicting Attribute Rejects at end Customers
We are performing manual inspection and removing rejects found (e.g. damaged wire) at each manufacturing process steps. Since manual inspection is not 100% effective, what statistical methods that can be used for ATTRIBUTE data to predict the number of rejects that a customer could get?