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 of 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 parameters are obtained under minimization of the relative variance of the MLE of location parameter subject to APL and RPL constraints.

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 k*, π*, n*
 5. CONCLUDING REMARKS
 References

• 김종걸 | Jong-Gurl Kim