Development of a multidisciplinary–multiresponse robust design optimization model

摘要: Robust design is an efficient process improvement methodology that combines experimentation with optimization to create systems are tolerant uncontrollable variation. Most traditional robust models, however, consider only a single quality characteristic, yet customers judge products simultaneously on variety of scales. Additionally, it often the case these characteristics not same type. To addresses issues, new model proposed solve problems involving multiple responses several different types. In this approach, noise factors incorporated into using combined array design, and results experiment optimized approach formulated as nonlinear goal programming problem. The obtained from compared those other methods in order examine trade-offs between meeting objectives associated w...