From quality and reliability perspectives,
acceptance sampling plans play a significant role in
manufacturing and industries in order to minimize the defect in
the process. It is essential that the final product received by the
customers, either external or internal, to be defect-free. In this
regard, this paper presents the special case of acceptance sampling
plan referred to as quick switching sampling (QSS) plan in the
context of failure censoring reliability tests by considering the
information from lifetime performance index (LPI). Unlike the
common process capability indexes, LPI is usually appropriate for
processes with non-negative quality characteristics. It is assumed
that the lifetime of items follows Weibull distribution. Derivations
of the operating characteristic curves are developed and a
mathematical model is presented which determines the optimal
parameters of the QSS plan. In order to see the effectiveness of
proposed QSS, a real example is presented. In addition, different
sensitivity analyses are conducted which the results indicate that
proposed QSS plan can significantly decrease the costs of the life
testing and sampling in comparison with a single sampling plan.