Visual inspection is regarded as one of the critical activities for quality control in a manufacturing company. it is thus important to improve the performance of detecting a defective part or product. There are three probable working modes for visual inspection: fully automatic (by automatic machines), fully manual (by human operators), and semi-automatic (by collaboration between human operators and automatic machines). Most of the current studies on visual inspection have been focused on the improvement of automatic detection performance by developing a better automatic machine using computer vision technologies. However, there are still a range of situations where human operators should conduct visual inspection with/without automatic machines. In this situation, human operators’performance of visual inspection is significant to the successful quality control. However, visual inspection of components assembled into a mobile camera module belongs to those situations. This study aims to investigate human performance issues in visual inspection of the components, paying more attention to human errors. For this, Abstraction Hierarchy-based work domain modeling method was applied to examine a range of direct or indirect factors related to human errors and their relationships in the visual inspection of the components. Although this study was conducted in the context of manufacturing mobile camera modules, the proposed method would be easily generalized into other industries.

Abstract
1. 서 론
    1.1 연구배경
    1.2 연구목적
2. 외관불량 유출 원인분석
    2.1 분석대상 및 자료수집
    2.2 외관불량 유출 원인 유형 구분
    2.3 검사공정에 대한 작업영역분석
    2.4 인적오류의 근본원인 분석
3. 검사자의 외관검사 검출력 향상 방안
4. 결론
5. References

• 한성재(LG이노텍 광학솔루션 사업부) | Sung-Jae Han (Optics Solution Division, LG Innotek)
• 함동한(전남대학교 산업공학과) | Dong-Han Ham (Dept. of Industrial Engineering, Chonnam National University) Corresponding Author