The latest issue is the smart factory. In order to implement this smart factory, the most fundamental element is to establish product specifications for factors affecting the product, obtain useful data to analyzed and predicted, and maintain safety. But most manufacturers have many errors. Therefore, the purpose of this study is to verify factors of product through statistical techniques and to study the process control and safety.

Abstract
1. 서 론
2. 이론적 배경
    2.1 통계적 공정관리(SPC)
    2.2 군집분석
    2.3 계층적 군집(hierarchical clustering)
    2.4 K-평균군집
    2.5 텍스트 마이닝(Text mining)
    2.6 워드클라우드(Word Cloud)
3. 제품 규격 및 인자의 영향
    3.1 제품 규격 초과의 원인
    3.2 인자의 증가에 대한 관리기준 검토
    3.3 I-MR 관리도를 통한 모니터링
    3.4 인자의 대한 군집분석
    3.5 A인자의 텍스트 마이닝 분석
    3.6 제품 규격 초과 인자 검토
    3.7 인자에 대한 추가 검증
    3.8 제품 규격 및 인자의 검토 결과
4. 결론 및 향후 연구 과제
5. References

• 정철규(인하대학교 산업경영공학과) | Chule-kyou Jung (Department of Industrial Engineering, INHA University)
• 이창호(인하대학교 산업경영공학과) | Chang-Ho Lee (Department of Industrial Engineering, INHA University) Corresponding Author