Data mining offers benefits to paint operations by extracting strategic and useful knowledge buried in production databases. Access to such knowledge adds value to a plant's paint shop by rapidly discovering new rules for quality/process control and defect prevention. This paper provides an overview of data mining and its application to the paint process. An overview of the technical and deployment issues is provided.
