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Abstract:
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Although classical acceptance sampling methodologies ensure a specified output quality level, the cost of achieving that output quality is a function of the input quality process, which is specific to each application. However, classical sampling methodology forecasts are general in scope. Further, some assessment of input quality is necessary in order to generate a system that will produce an output quality with verifiable costs. Once established, if the input to a system changes, frequently the only way to meet output quality levels are changes in operations. Therefore, the methods used for integrating operational and acceptance sampling profiles outlined in this paper allowed for improved cost forecasting in regards to quality at all stages of a system's life for the U.S. 2010 Census.
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