In this study, we establish bootstrap control limits for robust M-estimator chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap M-estimator control chart is developed for applying bootstrap method to M-estimator chart, which is more robust to keep Type Ⅰ error when process contain contaminate quality characteristic.

Abstract 
1. 서론 
2. 로버스트관리도 
3. 수치실험 및 분석 
4. 결론 
참고문헌

• 송서일 | Suh-Ill Song
• 조영찬 | Young-Chan Jo
• 박현규 | Hyun-Kyu Park