This chapter provides a strategy and tables for a Bayesian single sample plan based on the Gamma-Zero Inflated Poisson distribution with the minimum angle method to reduce producer and consumer risk for specified acceptance and restricting quality levels. Every manufacturing industry has been using technological improvements to detect and correct product flaws in the early stages of production in recent years. Using such technology, it is feasible to reduce the amount of defective items early on. As a result, non-defects would appear more frequently during the sampling inspection. Random oscillations in the manufacturing process, on the other hand, may cause certain goods to be defective. In this scenario, a Gamma-Zero Inflated Poisson (G-ZIP) distribution is the proper probability distribution for the number of faults. To obtain the minimal angle values for the suggested sampling plan, the best plan parameters are presented, which are shown with appropriate examples. To make quality control engineers' jobs easier, necessary tables are built.
Author (S) Details
V. Kaviyarasu
Department of Statistics, Bharathiar University Coimbatore-46, Tamilnadu, India.
P. Sivakumar
Department of Statistics, Bharathiar University Coimbatore-46, Tamilnadu, India.
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