A Study on the Effect of the Machine State Considering Human Skillfulness (Kalman Filtering Approach)

작업자의 숙련도가 기계상태에 미치는 영향에 관한 연구 (최적 제어 이론(Kalman Filtering) 적용 중심으로)

  • 윤상원 (아주대학교 대학원 산업공학과) ;
  • 갈원모 (서울보건전문대학 산업안전과) ;
  • 신용백 (아주대학교 산업공학과)
  • Published : 1994.12.01


This paper proposes a dynamic recursive model with the effect analysis of machine state considering human factor(human skillfulness) In a single lot man-machine production system. This model obtained using Kalman Filtering Algorithm Is based on input state, output state, machine state. For sensitivity analysis, this model constructed is examined according to the impact of human skillfulness with computer simulation. The model studied in this paper has a great advance from the point of view a combination of three factors( human engineering, dynamic control theory, quality control ) and can also be extended in several applications.