A computer-implemented method of optimizing at least one production or testing processes in a mass manufacturing industry, includes steps of: collecting error data relating to a product at a plurality of points along its production and distribution chain; classifying the error data into categories of errors to provide classified error data; analyzing relationships among the classified error data; and suggesting modifications to at least one of the production or testing processes based on the analysis.