Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
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The complicated engineering design is accomplished through three steps: system design, parameter design, and tolerance design. Parameter design and tolerance design are typically performed sequentially to determine nominal values and tolerance levels of control factors. While production costs are often reduced and quality levels are increased at the parameter design stage, the further improvement in quality at the tolerance design stage usually increases the cost. In order to reduce the product life cycle and manufacturing costs, this paper presents an integrated approach for parameter design and tolerance design to find the optimal settings of nominal values and tolerance levels for a system with multiple criteria. The case study of a passive filter network demonstrates that the proposed methodology provides, not only the reduced cost during the design phases, but also the decreased variation from multiple output responses.