Charting Techniques for Dynamic Processes: Literature Review and Extensions

摘要

In modern manufacturing environments, both multivariate and dynamic natures have become increasingly important. Many multivariate and dynamic processes, such as processes with feedback control and with high-frequency automatic sampling, have raised new challenges to conventional statistical process control (SPC) and statistical quality control (SQC). For the efficient and effective monitoring of multivariate processes with dynamic (time-varying) shifts, some conventional SPC schemes have been extended and implemented. Meanwhile, new techniques have also been proposed to handle these challenges. This paper provides a literature review on the existing SPC techniques for multivariate and dynamic process monitoring. In addition, some novel alternatives based on the ideas of joint monitoring and adaptive control chart are proposed. Illustrative examples are used to demonstrate and compare these techniques, and practical guidelines to implement the dynamic process control and monitoring are provided accordingly.