Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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A Study on the Improvement of Human Operators' Performance in Detection of External Defects in Visual Inspection

품질 검사자의 외관검사 검출력 향상방안에 관한 연구

  • Han, Sung-Jae (Optics Solution Division, LG Innotek) ;
  • Ham, Dong-Han (Dept. of Industrial Engineering, Chonnam National University)
  • 한성재 (LG이노텍 광학솔루션 사업부) ;
  • 함동한 (전남대학교 산업공학과)
  • Received : 2019.10.20
  • Accepted : 2019.12.16
  • Published : 2019.12.30
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Abstract

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.

Keywords

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