Abstract
Continuous Sampling Plans (CSP) are used where processes are continuous and products are not grouped into lots. The principal design criterion for these plans is the Average Outgoing Quality Limit (AOQL), which is the worst outgoing quality over all possible values of the incoming quality level. These are generally applicable to in‐process and final inspections and have been found to be most effective when administered in such a way as to provide an incentive to clear up the faults promptly. In applying the traditional continuous sampling plans, it is necessary to revert to 100 per cent inspection when the quality deteriorates. Therefore, the inspection rate must be larger than production rate and the unit inspection cost must be low. The plan presented in this article relaxes the 100 per cent inspection restriction while reaching the same AOQL quality assurance as traditional CSP‐1. The Markov chain process and numerical analysis will be used to formulate the plan. Its results are then evaluated against CSP‐2.
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