Charting Techniques for Dynamic Processes: Literature Review and Extensions
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.
Statistical Process Control SPC Dynamic Process Multivariate Process.
Fugee Tsung Kaibo Wang
Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
国际会议
2006 International Conference on Design of Experiments and Its Applications(2006实验设计及其应用国际会议)
天津
英文
2006-07-09（万方平台首次上网日期，不代表论文的发表时间）