• Title/Summary/Keyword: Rectifying Screening Inspections

Search Result 2, Processing Time 0.018 seconds

Design of Rectifying Screening Inspections under a Bivariate Normal Distribution (이변량 정규분포 하에서 선별형 스크리닝 검사의 설계)

  • Hong, Sung-Hoon;Choi, Ik-Jun;Lee, Yoon-Dong;Lee, Min-Koo;Kwon, Hyuck-Moo
    • Journal of Korean Society for Quality Management
    • /
    • v.35 no.4
    • /
    • pp.147-158
    • /
    • 2007
  • 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.

An Economic Design of Rectifying Inspection Plans Based on a Correlated Variable (대용품질특성치를 이용한 계수선별형 샘플링 검사방식의 경제적 설계)

  • Bai, D.S.;Lee, K.T.;Choi, I.S.
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.23 no.4
    • /
    • pp.793-802
    • /
    • 1997
  • A sampling plan is presented for situations where sampling inspection is based on the quality characteristic of interest and items in rejected lots are screened based on a correlated variable. A cost model is constructed which involves the costs of misclassification errors, sampling and screening inspections. A method of finding optimal values of sample size, acceptance number and cutoff value on the correlated variable is presented, and numerical studies are given.

  • PDF