자기상관이 있는 장치산업에서 공정 진단 및 부적합품률 제어모형에 관한 연구

• 영문명: A Study on a Control Model for the Diagnostic and Nonconformity Rate in an Instrumental Process Involving Autocorrelation
• 발행기관: 한국산업경영시스템학회
• 저자명: 구자활(Ja-Hwal Koo) 조진형(Jin-Hyung Cho)
• 간행물 정보: 『산업경영시스템학회지』제33권 제1호, 33~40쪽, 전체 8쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2010.03.30

영문 초록

Because sampling interval for data collection tends to be short compared with the overall processing time, in chemical process, instrumental process related tanks or furnace collected data have a significant autocorrelation. Insufficient control technique and frequent control actions cause unstable condition of the process. Traditional control charts which were developed based on iid(independently and identically distributed) among data cannot be applied on the existence of autocorrelation. Also unstable process is difficult to identity or diagnose. Because large-scale process has a lot of measurable variables and multi-step-structures among data, it is difficult to find relation between measurable variables and nonconformity. In this paper, we suggested an appicable model to diagnose the process and to find relation between measurable variables (CTQ) and nonconformity in the process having autocorrelation, unstable condition frequently , a lot of measurable variables, and multi-step-structure. And we applied this model to real process, to verify that the process engineers could easily and effectively diagnose the process and control the nonconformity.

목차

1. 서 론

2. 공정특성과 연구모형

3. 장치산업에서공변량구조모형 적용방법

4. 사 례

5. 결론 및 향후 연구과제

키워드

Intstrumental Process Autocorrelation CTQ(Critical to Quality) Nonconformity Multi-Step-Structure