To produce products with consistent high quality, it is critical to
maintain the stability of a manufacturing process. However, the
traditional statistical process control (SPC) do not use process
adjustments as potential tools for continuous quality improvement. This
should be reconsidered because many assumptions used by SPC are no
longer valid in a modern manufacturing environment. For example,
customized short-run productions require frequent process setups, which
may cause a high possibility of process setup error and drastically
deteriorate product quality if the process is not quickly and properly
adjusted. This monograph aims to provide several process adjustment
strategies, which are derived from statistical theory, for maintaining a
manufacturing process on its stable and desirable level.