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It is generally recognized that acceptance sampling by attributes is an important tool for industrial quality control. Various models have been proposed that can be used to determine a sampling plan. Some of these, including the one discussed in this paper, incorporate costs. The plan described here minimizes the maximum cost subject to an appropriately chosen constraint. A basic assumption used is that one knows the probability that the number of nonconforming items in a lot does not exceed “break even” quality. Plans are easily found with a computer.
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Stored only when both papers are in the corpus — 28 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.