In this paper, we present a new lot acceptance policy for batch inspection from a continuous process called the skip-lot sampling plan of type R (SkSP-R). The proposed plan is the extension of the SkSP-2 sampling plan and SkSP-V sampling plan by utilizing resampling. We formulate the optimization problem of minimizing the average sample number to determine the plan parameters of the proposed SkSP-R sampling plan. The constraints are to satisfy the producer's risk at the acceptable quality level and the consumer’s risk at the limiting quality level. The tables are presented and the results are explained with an example. The proposed plan is more efficient than the single sampling plan, SkSP-2 sampling plan, and SkSP-V sampling plan in terms of the average sample number.
Dept. of Statistics, GC Univ., Lahore,
Dept. of Statistics, Forman Christian College Univ., Lahore,
Dept. of Industrial and Management Engineering, POSTECH, Pohang,
Stock #: JTE20130100