USE OF EXISTING EXPERIMENTAL DATA TO EVALUATE METHODS FOR DESIGN AGAINST UNCERTAINTY

Abstract eng:
An efficient experimental approach for probing for weakness in methods for design under uncertainty is presented. The approach uses existing data from different fields to construct and solve simple design problems that mimic real-life design decisions and then evaluate the outcomes. One can efficiently investigate a method for design under uncertainty many times to obtain robust conclusions and learn lessons that are difficult to learn only from an examination of the theoretical foundations of the method. The approach is demonstrated in comparing probability and possibility based design procedures on a problem of selecting an optimum performance target for a new product.

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