Engineering process control (EPC) is one of the techniques very widely used in process. EPC is based on control theory which aims at keeping the process on target. Statistical process control (SPC), also known as statistical process monitoring. The main purpose of SPC is to look for assignable causes (variability) in the process data. The combined SPC/EPC scheme is gaining recognition in the process industries where the process frequently experiences a drifting mean. This paper aims to study the difference between SPC and EPC in simple terms and presents a case study that demonstrates successful integration of SPC and EPC for a product in drifting industry. Statistical process control (SPC) monitoring of the special causes of a process, along with engineering feedback control such as proportional-integral-derivative (PID) control, is a major tool for on-line quality improvement.

ABSTRACT
 1. 서론
 2. SPC 와 EPC 의 연계성
  2.1 공정제어 와 공정통제
 3. SPC와 EPC 의 통합시스템
  3.1 SPC 와 EPC 의 통합
  3.2 SPC 와 EPC 사이에 관계
  3.3 SPC와 EPC 의 비교
  3.4 공정 조절
  3.5 PID 관리공정의 통합관리
 4. 통합시스템의 적용분석
  4.1 통합관리
  4.2 통합시스템의 새로운 연구영역
  4.3 새로운 적용을 위한 수단
 5. 결론
 References

• 김종걸 | Jong-Gurl, Kim
• 정해운 | Hae-Woon, Jung