Abstract: A method of process cost analysis that includes determining a per-unit cost function for executing a process step, determining a percentage-of-acceptable-parts function for executing a process step, and receiving production data into memory. The production data corresponds to a measured quality metric of the executed process step. The method further includes determining a probability density function for the received production data, executing on a processor a correlation routine for cross-correlating the cost function with the probability density function of the production data to provide a first cross-correlation, and executing on the processor the correlation routine for cross-correlating the percentage-of-acceptable-parts function with the probability density function of the production data to provide a second cross-correlation.

Abstract: A method of process cost analysis that includes determining a per-unit cost function for executing a process step, determining a percentage-of-acceptable-parts function for executing a process step, and receiving production data into memory. The production data corresponds to a measured quality metric of the executed process step. The method further includes determining a probability density function for the received production data, executing on a processor a correlation routine for cross-correlating the cost function with the probability density function of the production data to provide a first cross-correlation, and executing on the processor the correlation routine for cross-correlating the percentage-of-acceptable-parts function with the probability density function of the production data to provide a second cross-correlation.