Statistical Process Control and Process Adjustment theory is gaining recognition in the process industries where the process frequently experiences a shift mean. This paper aims to study, the theory difference between Statistical Process Control and Process Adjustment in simple terms and presents a case study that demonstrates successful integration of Statistical Process Control and Process Adjustment theory for a product in drifting industry.

ABSTRACT
 1. 서론
 2. SPC 의 이론
  2.1 SPC를 위한 평균과 범위관리의 이론
  2.2 EWMA 관리도 이론
  2.3 누적합 (CUSUM) 관리도의 이론
 3. EPC모형의 이론적 접근
  3.1 SPC 와 관련된 공정조절모형
  3.2 상관관계가 있는 데이터의 EWMA의 적용
 4. 공정조절모형의 기초이론
  4.1 공정의 탐지와 공정조절을 위한 이론적 체계
 5. 일계각란 모형을 위한 이론적 체계
  5.1 평균이 변화하는 경우 공정조절모형의 이론적 체계
  5.2 MMSE(minimum mean squared error)에 이론적 체계
 6. 결론
 참고문헌

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