This work is motivated by a desire to put DfM on solid theoretical foundations. The paper evaluates measures of manufacturability and classes of DfM methods and frameworks independent of the specific manufacturing processes. Criteria used in evaluation include theoretical foundation, accuracy, flexibility in choosing utility/objective function, domain independence, ease of use, level and extent of information required, computational cost, ability to incorporate uncertainty and market factors. We introduce a DfM approach based on Benefit/Cost analysis. All design utilities are lumped into a single “Design Benefit (RD)”, all manufacturability factors into another parameter “Manufacturing Rating (RM)”, and then techniques of benefit-cost analysis and value engineering are used to make decisions about design improvements. Use of overall and marginal DfM ratings allows trade-offs to be made. Any set of desired objectives can be used for computing the ratings. It is also possible to incorporate design or manufacturing constraints.

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