This paper has built a foundation for practically meaningful extensions. The maximum allowable defective number in this. Paper is zero. The zero-defect acceptance policy may not be optimal in other circumstances. When it is greater, than zero. The maximum allowable defective number becomes an additional decision variable besides the sample size. The sample size. And the maximum allowable defective number adversely impact the expected NC cost and the, convexity of the objective function. Is no longer held on the entire decision space. These require a re-calibration of solution features. The rejection cost. Is low for incoming, inspections and thus it was, not considered in this paper. However the rejection, cost is an important. Cost component to, be considered for example in outgoing, inspections. By including the expected rejection cost in the objective. Function the sample, size decision seeks a trade-off among three cost components which is, more complex than the one presented. In this paper. Another important extension of this paper is to model sample size decisions for multiple quality features. At a part level and then integrate this lower level decision with the higher level decision analyzed in this paper. The. Lower level decision provides more accurate inputs to the higher level decision while the, latter poses a constraint for. The former. The integration is a value - added yet, of, challenging topic research. All above-mentioned extensions are important. Subjects of future research.
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