An open optimization problem in statistical quality control |
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Authors: | W Seidel |
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Institution: | (1) Universität der Bundeswehr Hamburg, Postfach 70 08 22, 2000 Hamburg 70, Germany |
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Abstract: | We ask the experts in global optimization if there is an efficient solution to an optimization problem in acceptance sampling: Here, one often has incomplete prior information about the quality of incoming lots. Given a cost model, a decision rule for the inspection of a lot may then be designed that minimizes the maximum loss compatible with the available information. The resulting minimax problem is sometimes hard to solve, as the loss functions may have several local maxima which vary in an unpredictable way with the parameters of the decision rule. |
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Keywords: | Minimax problems acceptance sampling incomplete prior information generalized moment conditions |
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