On clustering of defects and yield of SMT assemblies

This paper describes a clustered yield model for complex Surface Mount Technology (SMT) assemblies. The model uses the negative binomial distribution of defects to calculate board yield after test. Manufacturing data validates that this model accurately predicts the clustering of defects and the yield predictions are significantly better than traditional binomial models.<>