Statistical in-process quality control sampling based on product stability through a systematic operation system and method

A method for managing quality control in a manufacturing plant for processing lots of work in process (WIP) for at least one product, comprising:

• providing a manufacturing process including a manufacturing executive system (MES) which provides inspection data to a statistical process control (SPC) database,
• providing an SPC analyzer for analyzing said inspection data and providing a sampling rate rule output to a sampling rate database,
• supplying said sampling rate rule to said MES,
• using said MES to test a condition as to whether a lot of WIP should be sampled,
• if said condition is met providing an inspect control signal for inspection to said plant for inspecting said lot, and
• if said condition is not met, then branching away from said control signal to provide an alternative control signal to pass on to the next process step in said plant.

A system for managing quality control in a manufacturing plant for processing lots of work in process (WIP) for at least one product, comprising:

• a manufacturing process includes a manufacturing executive system (MES) which provides inspection data to a statistical process control (SPC) database for storing the inspection data of products in said plant,
• an SPC analyzer for analyzing said inspection data and providing a sampling rate rule output to a sampling rate database,
• a server for supplying said sampling rate rule to said MES, said server providing a background server function,
• said MES testing a quality control condition as to whether a lot of WIP should be sampled,
• if said quality control condition is met an inspect control signal for inspection is provided to said plant for inspecting said lot, and
• if said condition is not met, then the system branches away from said control signal to provide an alternative control signal to pass on to the next process step in said plant.