Journal of the Korea Management Engineers Society (한국경영공학회지)

Korea Management Engineers Society (한국경영공학회)
권호 표지

Human Machine Serial Systems Reliability and Parameters Estimation Considering Human Learning Effect

학습효과를 고려한 인간 기계 직렬체계 신뢰도와 모수추정

  • 김국 (서경대학교 산업경영시스템공학과)
  • Received : 2018.11.05
  • Accepted : 2018.12.31
  • Published : 2018.12.31
⟨ Previous Next ⟩

Abstract

Human-machine serial systems must be normal in both systems. Though the failure of machine is irreducible by itself, the human errors are of recurring type. When the human performance is described quantitatively, non-homogeneous Poisson Process model of human errors can be developed. And the model parameters can be estimated by maximum likelihood estimation and numerical analysis method. System reliability is obtained by multiplying machine reliability by human reliability.

Keywords

Acknowledgement

Supported by : 서경대학교

References

  1. 박경수 (1980), 인간공학, 영지문화사, 서울.
  2. 박경수.김국 (2018), 신뢰성공학, 한얼출판사
  3. Dhillon, B. (1986), Human reliability, Pergamon pres. https://doi.org/10.1016/C2013-0-03785-1.
  4. Kim, K. (1989), "Human reliability model with probabilistic learning in continuous time domain", Microelectronics and Reliability, vol.29, No.5, pp.801-811. https://doi.org/10.1016/0026-2714(89)90180-7.
  5. Meister, D. (1973), A Critical review of human performance reliability predictive methods, IEEE Tr. Reliab., 22.3, p.116. https://doi.org/10.1109/tr.1973.5215925.
  6. Park, J. (2009), The Complexity of Proceduralized Task, Springer. https://doi.org/10.1007/978-1-84882-791-2.
  7. Park, K.S. (1985), Human reliability with probabilistic learning in discrete and continuous tasks : Conceptualization and modelling, Microelectron. Reliab., 25.1, p.157. https://doi.org/10.1016/0026-2714(85)90455-x.
  8. Park, K.S. (1987), Human reliability, Elsevier.