Earticle

초록

영어

There are several models for process quality assurance by quality system (ISO 9000), process capability analysis, acceptance control chart and so on. When a high level process capability has been achieved, it takes a long time to monitor the process shift, so it is sometimes necessary to develop a quicker monitoring system. To achieve a quicker quality assurance model for high-reliability process, this paper presents a model for process quality assurance when the fraction nonconforming is very small. We design an acceptance control chart based on variable quality characteristic and time-censored accelerated testing. The distribution of the characteristics is assumed to be normal or lognormal with a location parameter of the distribution that is a linear function of a stress. The design parameters are sample size, control limits and sample proportions allocated to low stress. These paramaters are obtained under minimization of the relative variance of the MLE of location parameter subject to APL and RPL constraints.

목차

ABSTRACT
 1. INTRODUCTION
  1.1 Control Charts for PPM
  1.2 Lot Quality Assurance
  1.3 QC based on ALT
  1.4 Acceptance Control Chart
 2. PROCESS QUALITY ASSURANCE MODEL
 3. ASYMPTOTIC DISTRIBUTION OF PLOT STATISTIC
  3.1 Fisher Information Matrix
  3.2 Asymptotic Variance of Plot Statistic
 4. OPTIMAL DESIGN
  4.1 APL, RPL Requirements
  4.2 Determination of κ, π, n
 5. CONCLUDING REMARKS
 References

저자

• 김종걸 [ Kim, Jong Gurl | School of System Management Engineering, Sung Kyun Kwan University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620