As the 4th industrial revolution emerges, the implementation of smart factories are essential in the manufacturing industry. However, 80% of small and medium-sized enterprises that have introduced smart factories remain at the basic level. In addition, in root industries such as injection molding, PLC and HMI software are used to implement functions that simply show operation data aggregated by facilities in real time. This has limitations for managers to make decisions related to product production other than viewing data. This study presents a method for upgrading the level of smart factories to suit the reality of small and medium-sized enterprises. By monitoring the data collected from the facility, it is possible to determine whether there is an abnormal situation by proposing an appropriate algorithm for meaningful decision-making, and an alarm sounds when the process is out of control. In this study, the function of HMI has been expanded to check the failure frequency rate, facility time operation rate, average time between failures, and average time between failures based on facility operation signals. For the injection molding industry, an HMI prototype including the extended function proposed in this study was implemented. This is expected to provide a foundation for SMEs that do not have sufficient IT capabilities to advance to the middle level of smart factories without making large investments.

1. 서 론
2. 관련 연구
3. 이상 탐지를 지원하는 HMI 시스템
    3.1 시스템 기능 확장
    3.2 시스템 구조
4. 사출성형 지원 HMI 확장 시스템 구현
    4.1 사출성형 품질요소 도출 및 구현 환경
    4.2 넬슨 규칙 기능 설계 및 구현
    4.3 설비관리 기능 설계 및 구현
5. 결 론
References

• Sungmoon Bae(경상국립대학교 산업시스템공학과) | 배성문 Corresponding Author
• Sua Shin(경상국립대학교 산업시스템공학과) | 신수아
• Junhong Yook(경상국립대학교 산업시스템공학과) | 육준홍
• Injun Hwang(코스카) | 황인준