Statistical Process Control and More about Multi-way Principal Component Analysis

• 발행기관: 한국상품학회
• 저자명: Choi Hwanseok Kim Young-il
• 간행물 정보: 『상품학연구』제27권 제2호, 1~9쪽, 전체 9쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2009.06.30

영문 초록

Quality Control Chart has long history in US industry and been used in various manufacturing area. Both univariate and multivariate control chart have been introduced and improved. However, as a batch process has become a popular production line in industries, demand for a proper statistical process control method has been increased. The Squared Prediction Error (SPE) control chart based on Multi-way Principal Component Analysis (MPCA) is introduced by Nomiko and McGregor (1994, 1995) for monitoring a batch process and the control chart has been evaluated. This study reviewed conventional SPC tools and reviewed detail procedures of conducting MPCA, building SPE chart, and discussed about weakness of applying MPCA for monitoring a batch process.

목차

I. Control Charts

II. Multivariate Control Charts

III. Monitoring Batch Processes

IV. Multi-way Principal Component Analysis (MPCA)

V. On-line Monitoring of New Batch Processes

VI. Discussion about Weakness of Application

VII. Conclusion

References

키워드

Quality Control Batch Processes Principal Component Analysis