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VARIANCE OF PREDICTED RESPONSE AS AN OPTIMIZATION CRITERION IN MULTIRESPONSE EXPERIMENTS

Flavio Sanson Fogliatto · Susan L. Albin

35 citations0/0 files storedQuality Engineering

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Optimal Experimental Design Methods Advanced Statistical Methods and Models Advanced Multi-Objective Optimization Algorithms

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[This abstract is based on the author's abstract.] In many experiments, the same experimental unit is evaluated in regard to more than one response. These multiresponse experiments are optimized by looking for a point in the design region where respons..

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References

1985The Analytic Hierarchy Process 1977A scaling method for priorities in hierarchical structures 1980Simultaneous Optimization of Several Response Variables 2011The Analytic Hierarchy Process 1981Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions 1996Modified Desirability Functions for Multiple Response Optimization 1993STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING 1992Response Surface Alternatives to the Taguchi Robust Parameter Design Approach

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2010Multiple response optimization: a global criterion‐based method 2000MINIMIZING MANUFACTURING AND QUALITY COSTS IN MULTIRESPONSE OPTIMIZATION

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