Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Design of Rectifying Screening Inspections under a Bivariate Normal Distribution

이변량 정규분포 하에서 선별형 스크리닝 검사의 설계

  • Hong, Sung-Hoon (Department of Industrial & Information Systems Engineering, Chonbuk National University) ;
  • Choi, Ik-Jun (Department of Industrial & Information Systems Engineering, Chonbuk National University) ;
  • Lee, Yoon-Dong (Applied Statistics, Konkuk University) ;
  • Lee, Min-Koo (Department of Information and Statistics, Chungnam National University) ;
  • Kwon, Hyuck-Moo (Department of Systems and Management Engineering, Pukyong National University)
  • 홍성훈 (전북대학교 산업정보시스템공학과) ;
  • 최익준 (전북대학교 산업정보시스템공학과) ;
  • 이윤동 (건국대학교 응용통계학과) ;
  • 이민구 (충남대학교 정보통계학과) ;
  • 권혁무 (부경대학교 시스템경영공학과)
  • Published : 2007.12.31
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Abstract

Owing to the rapid growth in automated manufacturing systems, screening inspection becomes an attractive practice for removing nonconforming items, and it has been suggested that inspection will essentially become an inherent part of modem manufacturing processes. In this paper, we propose rectifying screening inspections which allow quality practitioners to use performance and surrogate variables interchangeably in real-time applications. Two screening inspections are considered; a statistically-based screening inspection to reduce the current proportion of nonconforming items to a specified AOQ(average outgoing quality) after screening, and an economically-based screening inspection where the tolerance limit is determined so that the expected total cost is minimized. It is assumed that the performance variable and the surrogate variable are jointly normally distributed. For two screening inspections, methods of finding the optimal solutions are presented and numerical examples are also given.

Keywords

References

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